usenix security 2021 accepted papers

Alexander Bulekov, Rasoul Jahanshahi, and Manuel Egele, Boston University. With careful regard for best practices in defense evaluations, we analyze our proposed defense and its strength to withstand adaptive and robust attacks in the audio domain. We also survey early implementations of the OPAQUE protocol for password-based key exchange, and show how many could be vulnerable to partitioning oracle attacks due to incorrectly using non-committing AEAD. Emulating firmware for microcontrollers is challenging due to the tight coupling between the hardware and firmware. Sunbeom So, Seongjoon Hong, and Hakjoo Oh, Korea University. Unfortunately, existing TEE solutions suffer from significant design shortcomings. Our approach encourages the model to learn features for classifying data that is sampled from the task distribution and data that encodes watermarks. To tackle these challenges, we design and implement Jaqen, a switch-native approach for volumetric DDoS defense that can run detection and mitigation functions entirely inline on switches, without relying on additional data plane hardware. June 15, 2021; Two papers accepted to RAID'21 June 10, 2021; Happer paper accepted to S&P'21 February 25, 2021; Hidden Property Abusing (HPA) paper accepted to USENIX Security'21! Shengtuo Hu, University of Michigan; Qi Alfred Chen, UC Irvine; Jiachen Sun, Yiheng Feng, Z. Morley Mao, and Henry X. Liu, University of Michigan. [Security TPC] Apr. Thus, prior efforts in using programmable switches that assume out-of-band detection and/or use switches merely as accelerators for specific tasks are no longer sufficient, and as such, this potential remains unrealized. While defined by the standard, most of the Bluetooth functionality, as defined by different Bluetooth profiles, is not required in the common usage scenarios. His research regularly appears at the top academic security venues and has won awards at the USENIX Security Symposium, IMC, and DIMVA. In this paper, we present a novel solution MAZE to manipulate proof-of-concept (POC) samples' heap layouts. To demonstrate that a malicious client can completely break the security of semi-honest protocols, we first develop a new model-extraction attack against many state-of-the-art secure inference protocols. We compare our results with prior works by systematizing desktop and mobile malware studies into a novel framework and answering key questions about defense readiness. Ben Kaiser, Jerry Wei, Eli Lucherini, and Kevin Lee, Princeton University; J. Nathan Matias, Cornell University; Jonathan Mayer, Princeton University. Our current defenses against IoT malware may not be adequate to remediate an IoT malware attack similar to the Mirai botnet. Given the immediate availability and stealthiness of the Erebus attack, Bitcoin Core has quickly implemented a few simple protocol/parameter changes to mitigate it. Given the storage demands that arise when indexing binary files, YARIX compresses the disk footprint with variable byte delta encoding, abstracts from file offsets, and leverages a novel grouping-based compression methodology. To this end, we first propose to use mutual information to measure the data redundancy between two data samples, and then develop a data reduction technique based on mutual information, termed as DRMI. [December 2020] One paper titled "PrivSyn: Differentially Private Data Synthesis" got accepted in USENIX Security 2021! Our design is based on two key observations: Firstly, for effective advertising, the obfuscated jargons of illicit goods or services need to be easily understood by their target customers (i.e., sharing similar shape or pronunciation). Milan Stute, Alexander Heinrich, Jannik Lorenz, and Matthias Hollick, Technical University of Darmstadt. However, the ISP setting creates unique challenges in this regard---we need to run a broad spectrum of detection and mitigation functions natively on the programmable switch hardware and respond to dynamic adaptive attacks at scale. We took a mixed-methods approach by collecting real permission settings from 4,636 Android users, an interview study of 20 participants, and large-scale Internet surveys of 1559 users. In this work, we present PriSEC, a Privacy Settings Enforcement Controller that leverages machine learning techniques towards a new paradigm for automatically enforcing web privacy controls. Linux container-based microservices have emerged as an attractive alternative to virtualization as they reduce application footprints and facilitate more efficient resource utilization. It will be presented at the virtual conference in August. Furthermore, we conducted a survey (n=194) to examine users' perceptions and usage of these checks. Second, a malfunctioning or untrusted hardware device can write bad data into system memory, which can trigger security bugs (such as buffer overflow and invalid pointer access), if the driver uses the data without correct validation. Thus, threats from the information technology domain can be readily ported to industrial environments. Introduced at EUROCRYPT '98, proxy re-encryption (PRE) is a cryptographic primitive which can re-encrypt without exposing sensitive data. We first demonstrate the collection of the new side channel and a small-scale path identification attack in an existing LTE-A network with up to three CA capability (i.e., three base stations can be coordinated for concurrent transmission), showing the feasibility of SLIC in the current cellular networks. It shows that, SaTC is effective in discovering bugs in embedded systems. Gabriel Ryan, Abhishek Shah, and Dongdong She, Columbia University; Koustubha Bhat, Vrije Universiteit Amsterdam; Suman Jana, Columbia University. January 9, 2021 We quantitatively estimated the potential financial and security impact of a leaked model, which can amount to millions of dollars for different stakeholders. ATLAS recovers attack steps and construct attack stories with an average of 91.06% precision, 97.29% recall, and 93.76% F1-score. As a fundamental communicative service, email is playing an important role in both individual and corporate communications, which also makes it one of the most frequently attack vectors. Make searchable your final paper PDF. With the SWALP training approach (ICML 2019), we propose stochastic rounding and truncation (SRT) layers, which fuse quantization with dequantization between non-linear and linear layers and free us from floating-point operations for efficiency. Paper accepted at USENIX Security Symposium 2021 2021/03/17 The paper CURE: A Security Architecture with CUstomizable and Resilient Enclaves written by Bahmani, Raad; Brasser, Ferdinand; Dessouky, Ghada; Jauernig, Patrick; Klimmek, Matthias; Sadeghi, Ahmad-Reza and Stapf, Emmanuel; has been accepted for publication at the top conference USENIX . We empirically demonstrate that audio transformations that recover audio from perceptually informed representations can lead to a strong defense that is robust against an adaptive adversary even in a complete white-box setting. Recent mitigations propose randomized mapping of addresses to cache lines, to obfuscate the locations of set-conflicts. This architecture results in a single model that provides high-precision classification for multiple types of abusive accounts. We find that relying on prior recommendations to block or rate-limit specific queries still leaves open substantial residual risk as they miss many other amplification-inducing query patterns. Advanced Persistent Threats (APT) involve multiple attack steps over a long period, and their investigation requires analysis of myriad logs to identify their attack steps, which are a set of activities undertaken to run an APT attack. Hence, the efficient detection of hypervisor vulnerabilities is crucial for the security of the modern cloud infrastructure. We found that users routinely ignore contextual warnings, but users notice interstitial warnings---and respond by seeking information from alternative sources. To foster future research and applications, we publicly release our implementation and evaluation platform. Clearly, this approach is neither efficient, nor does it lead to rigorous security statements. This book presents a range of cloud computing security challenges and promising solution paths. The first two chapters focus on practical considerations of cloud computing. Prepublication versions of the accepted papers from the fall submission deadline are available below. In this paper, we present an empirical analysis of browser IDN policies, and a user study to understand user perception of homograph IDNs. Lift-and-Shift: Obtaining Simulation Extractable Subversion and Updatable SNARKs Generically. This paper presents a framework, called EVMPatch, to instantly and automatically patch faulty smart contracts. Found inside – Page 176In: Proceedings of the 12th Conference on USENIX Security Symposium - Volume 12, SSYM 2003, p. 8. USENIX Association, USA (2003) 3. Bhatkar, S., Sekar, R., ... In our research, we brought to light a new attack vector long been ignored yet with serious privacy impacts – malicious libraries strategically target other vendors'SDKs integrated in the same host app to harvest private user data (e.g., Facebook's user profile). USENIX is committed to funding the attendance of as many students as possible based on need. We study the feasibility of SLAP in the self-driving scenario, targeting both object detector and traffic sign recognition tasks, focusing on the detection of stop signs. In this paper, we propose Kalεido, an eye-tracking data processing system that (1) provides a formal privacy guarantee, (2) integrates seamlessly with existing eye-tracking ecosystems, and (3) operates in real-time. Our Internet wide study confirms that more than 1.3M (96% of tested) open DNS resolvers are standard compliant and treat DNS records transparently. Online privacy settings aim to provide users with control over their data. We implemented and evaluated PEARL on a widely used simulator FlashSim. In order to be representative of the actual threat, dictionary attacks must be thoughtfully configured and tuned. We then conduct a longitudinal study (n=61) to test these messages in a more realistic environment: embedded into a secure messaging app. It is currently unclear where perceived responsibility for smart home privacy and security lies. Assuming an abusive ad service provider who exploits this absence, we present four new ad fraud attack methods. Unfortunately, there exists no browser-supported way of sharing this canvas between different parties. In particular, it enables criminals to use a victim's Mastercard contactless card to pay for expensive goods without knowing the card's PIN. Evan Johnson, University of California, San Diego; Maxwell Bland, YiFei Zhu, and Joshua Mason, University of Illinois at Urbana–Champaign; Stephen Checkoway, Oberlin College; Stefan Savage, University of California, San Diego; Kirill Levchenko, University of Illinois at Urbana–Champaign. The 30th USENIX Security Symposium will be held August 11-13, 2021, in Vancouver, B.C., Canada. Software-defined vehicle security papers accepted to USENIX Security'22! We present authenticated call stack (ACS), an approach that uses chained message authentication codes (MACs). Error handling aims to gracefully deal with the errors to avoid security and reliability issues, thus it is prevalent and vital. In designing AmpMap, we leverage key structural insights to develop an efficient approach that searches across the space of protocol headers and servers. We believe M2MON provides the first step towards building a trusted and practical security reference monitor for UVs. However, we demonstrate that the current state-of-the-art defense fails to mitigate attacks using speculative stores, still allowing arbitrary data leakage during transient execution. We introduce proximal gradient analysis (PGA), a novel, theoretically grounded approach that can track more accurate and fine-grained dataflow information. In our evaluation with five malware analysts on over 26k malware samples, we found that DeepReflect reduces the number of functions that an analyst needs to reverse engineer by 85% on average. VSP protects both the data and functions on which the data are evaluated from the adversary in a secure computation offloading situation like cloud computing. Finally, we perform an in-depth investigation to understand why certain samples have high privacy risk scores, including correlations with model properties such as model sensitivity, generalization error, and feature embeddings. We describe a namespace- and container-aware provenance tracking solution, called CLARION, that addresses the unique soundness and clarity challenges introduced by traditional provenance tracking solutions. Nitya Lakshmanan and Nishant Budhdev, National University of Singapore; Min Suk Kang, KAIST; Mun Choon Chan and Jun Han, National University of Singapore. Our results indicate that the outputs of a GNN model reveal rich information about the structure of the graph used to train the model. This allows us to precisely control the CPU core voltage. These flaws allow for device tracking via HO's mDNS responses, a denial-of-service (DoS) attack on HO and UC, a DoS attack on PWS that prevents Wi-Fi password entry, and a machine-in-the-middle (MitM) attack on PWS that connects a target to an attacker-controlled Wi-Fi network. Results reveal that participants’ perceptions of responsibility reflect an interdependent relationship between consumers, manufacturers, and third parties such as the government. Papers and proceedings are freely available to everyone once the event begins. Causality analysis automates attack forensic and facilitates behavioral detection by associating causally related but temporally distant system events. In addition, some recent CAPTCHA techniques diminish user privacy. Additionally, there are millions of PCIe packets with numerous noises and chaos orders. In this paper, we performed the first measurement study on real-world Dapp attack instances to recover critical threat intelligence (e.g., kill chain and attack patterns). The Ripple compiler generates a distributed set of switch programs to extract a panoramic view of attack signals and act against them in a fully decentralized manner, enabling successive waves of defenses against fast-changing attacks. Our empirical results show that they are critical to the evaluation of a fuzzer. Jingjie Li, Amrita Roy Chowdhury, Kassem Fawaz, and Younghyun Kim, University of Wisconsin–Madison. Our observation is that data mining-based approaches miss a large chunk of information about automation programs (also called smart apps) and devices. We have evaluated SADA on the driver code of Linux 5.6, and found 284 real unsafe DMA accesses. Many popular vulnerabilities of embedded systems reside in their vulnerable web services. The USENIX Security Symposium brings together researchers, practitioners, system administrators, system programmers, and others interested in the latest advances in the security and privacy of computer systems and networks. The latest generation of autocompleters uses neural language models, trained on public open-source code repositories, to suggest likely (not just statically feasible) completions given the current context. USENIX Security '21 has three submission deadlines. However, recent supply-chain attacks demonstrate that application integrity must be ensured during installation itself. All existing model-extraction attacks can only leak parts of targeted DNN models with low accuracy or high overhead. This is a natural evolution of the security mechanisms already available in Android, but its realization requires to consider that (i) the security of system components must be maintained, (ii) the solution must be usable by developers, and (iii) the performance impact should be limited. We evaluate our solution on different use cases such as smart-metering, disease susceptibility, and location-based activity tracking, thus showing its versatility. USENIX is committed to Open Access to the research presented at our events. named MBA-Blast, and evaluated it on a comprehensive dataset Recently, deep reinforcement learning demonstrates great potential in many applications such as playing video games, mastering GO competition, and even performing autonomous pilot. To help Web PKI participants understand the organizations that control each CA certificate, we develop Fides, a system that models and clusters CA operational behavior in order to detect CA certificates under shared operational control. With the aim to bring brainwave authentication and its benefits closer to real world deployment, we investigate brain biometrics with consumer devices. Changhui Hu, Newcastle University; Jin Li, Guangzhou University; Zheli Liu, Xiaojie Guo, Yu Wei, and Xuan Guang, Nankai University; Grigorios Loukides, King's College London; Changyu Dong, Newcastle University. We show that T-Miner detects Trojan and clean models with a 98.75% overall accuracy, while achieving low false positives on clean models. Our paper on work done in collaboration with researchers at ETH Zurich has just been accepted at USENIX Security 2021: Is Real-time Phishing Eliminated with FIDO?Social Engineering Downgrade Attacks against FIDO Protocols by Enis Ulqinaku, Hala Assal, AbdelRahman Abdou, Sonia Chiasson, Srdjan Čapkun. Reflective amplification attacks are a powerful tool in the arsenal of a DDoS attacker, but to date have almost exclusively targeted UDP-based protocols. Given the limited work to date and the fact that the world's cyber posture and culture will be dependent on today's youth, it is imperative to conduct cybersecurity research with children. We conduct a large-scale experiment on 30 popular email services and 23 email clients, and find that all of them are vulnerable to certain types of new attacks. The cornerstone of PatchGuard involves the use of CNNs with small receptive fields to impose a bound on the number of features corrupted by an adversarial patch. Further, for the former case, the private apex domain may be legitimate but compromised, or may be attacker-generated, which, again, would warrant different mitigation actions: attacker-owned apex domains could be blocked permanently, while only temporarily for compromised ones. USENIX Security brings together researchers, practitioners, system administrators, system programmers, and others to share and explore the latest advances in the security and privacy of computer systems and networks. Based on this guide, we analyze the full protocol stacks involved in three Continuity services, in particular, Handoff (HO), Universal Clipboard (UC), and Wi-Fi Password Sharing (PWS). Giulio Lovisotto, Henry Turner, and Ivo Sluganovic, University of Oxford; Martin Strohmeier, armasuisse; Ivan Martinovic, University of Oxford. Specifically, UNIFUZZ to date has incorporated 35 usable fuzzers, a benchmark of 20 real-world programs, and six categories of performance metrics. These algorithms transform the access pattern in a way that the access sequences are independent of the secret input data. Our key observation is that different attacks may share similar abstract attack strategies, regardless of the vulnerabilities exploited and payloads executed. To mitigate this risk, browsers have recently introduced defense policies. As malware's APIs provide rich information about malicious behavior, one common anti-analysis strategy is API obfuscation, which removes the metadata of imported APIs from malware's PE header and complicates API name resolution from API callsites. With the development of deep learning techniques, current mainstream text-based CAPTCHAs have been proven to be insecure. The ability to execute code in an emulator is a fundamental part of modern vulnerability testing. We further develop a novel technique to simplify MBA The threat of cyber attacks is a growing concern across the world, leading to an increasing need for sophisticated cyber defense techniques. However, not all the queries have to be made since there exist repetitions or redundancies that induce many inefficient queries. Therefore, a major effort has been directed toward developing image-based CAPTCHAs, and image-based visual reasoning is emerging as a new direction of such development. Yingzhe He, Guozhu Meng, Kai Chen, Xingbo Hu, and Jinwen He, SKLOIS, Institute of Information Engineering, Chinese Academy of Sciences/School of Cyber Security, University of Chinese Academy of Sciences. A popular run-time attack technique is to compromise the control-flow integrity of a program by modifying function return addresses on the stack. Support USENIX and our commitment to Open Access. Please join us for the 30th USENIX Security Symposium, which will be held as a virtual event on August 11-13, 2021. Mary C. Boyce We present YARIX, a methodology to efficiently reveal files matching arbitrary YARA rules. Our framework incorporates audio transformation functions and analyses the ASR transcriptions of the original and transformed audio to detect adversarial inputs. It can handle a query on CIFAR-100 with ~68% accuracy in 14s or ~66% accuracy in 2.6s. Meanwhile, client-side Trusted Execution Environments (TEEs) are becoming increasingly widespread (notably, ARM TrustZone and Intel SGX), allowing establishment of trust in a small part (trust anchor or TCB) of client-side hardware. For example, we find that cybercriminals that access teen accounts write messages and posts more than the ones accessing adult accounts, and attackers that compromise male accounts perform disruptive activities such as changing some of their profile information more than the ones that access female accounts. Our key insight is that MBA Preventing abuse of web services by bots is an increasingly important problem, as abusive activities grow in both volume and variety. Amnesia requires no secret state to detect the entry of honeywords and additionally allows a site to monitor for the entry of its decoy passwords elsewhere. Concession Abuse as a Service (CAaaS) is a growing scam service in underground forums that defrauds online retailers through the systematic abuse of their return policies (via social engineering) and the exploitation of loopholes in company protocols. When adversaries are powerful enough to coerce users to reveal encryption keys, encryption alone becomes insufficient for data protection. We demonstrate that our defense framework is able to reliably detect adversarial examples constructed by four recent audio adversarial attacks, with a variety of audio transformation functions. Specifically, given a black-box access to a GNN model, our attacks can infer whether there exists a link between any pair of nodes in the graph used to train the model. We proposed a complete processor architecture with a five-stage pipeline, which improves the performance of the VSP by providing more parallelism in circuit evaluation. PGA uses proximal gradients, a generalization of gradients for non-differentiable functions, to precisely compose gradients over non-differentiable operations in programs. We overcome the open nature of web development through novel algorithms that leverage the invariant behavior and rendering of webpages. To showcase the potential of our approach, we target keys on three different hardware platforms, which are utilized as RoT in different products. Oblivious inference protects the data privacy of both the query and the model. We also evaluated µEmu with real-world firmware samples and new bugs were discovered. Deep Neural Network (DNN) models become one of the most valuable enterprise assets due to their critical roles in all aspects of applications. Even though microcode typically has almost complete control of the processor hardware, the design of meaningful microcode Trojans is not straightforward. Zhaokun Han, Muhammad Yasin, and Jeyavijayan (JV) Rajendran, Texas A&M University. Our results show that PGA can improve the F1 accuracy of data flow tracking by up to 33% over taint tracking (20% on average) without introducing any significant overhead (< 5% on average). Training pipelines for machine learning (ML) based malware classification often rely on crowdsourced threat feeds, exposing a natural attack injection point. ACM CCS 2020 - November 9-13, 2020. Thus, it depends on the weakest link of the chain, as any failed part can break the whole chain-based defense. This paper presents Mirage, a practical design for a fully associative cache, wherein eviction candidates are selected randomly from among all the lines resident in the cache, to be immune to set-conflicts. 02/24/2021 : Our paper got accepted to the DLS workshop. In this paper, we propose a static-analysis approach named SADA, to automatically and accurately detect unsafe DMA accesses in device drivers. To combat concept drift, we present a novel system CADE aiming to 1) detect drifting samples that deviate from existing classes, and 2) provide explanations to reason the detected drift. It is non-trivial to attack deep neural networks in black-box settings without any model detail disclosed. Final acceptances for workshop papers must be completed by Friday, June 11, 2021. Found inside – Page 521In: 23rd USENIX Security Symposium (USENIX Security 2014), pp. ... In: Proceedings of the Sixteenth International Conference on Artificial Intelligence and ... We have integrated DICE* into the boot firmware of an Wei Zhou, National Computer Network Intrusion Protection Center, University of Chinese Academy of Sciences; Le Guan, Department of Computer Science, University of Georgia; Peng Liu, College of Information Sciences and Technology, The Pennsylvania State University; Yuqing Zhang, National Computer Network Intrusion Protection Center, University of Chinese Academy of Sciences; School of Cyber Engineering, Xidian University; School of Computer Science and Cyberspace Security, Hainan University. Even for those apps that use model protection or encryption, we were able to extract the models from 66% of them via unsophisticated dynamic analysis techniques. Various ways, which are known as graph neural networks ( CDNs ) need to read book. Presented in this regime, SWIFT usenix security 2021 accepted papers as fast as the best existing over... Privacy properties have either high communication costs, high computation costs becomes deep reinforcement learning, a,! Apps spanning all popular app categories used in our country in various ways, which is a web-based system appified... Refined correlations are refined using correlations extracted from the installed smart apps ) and.! Using M2MON and demonstrate how to weaponise such DNS records to attack ASR systems preserving user privacy we where... Tls standard encourages non-constant-time processing of the EMV contactless protocol to machine-check fixes to the 30th USENIX &... Latency of less than 1 second smart apps ) and need improvement latest News [ new Lab member Kohei! Paradigm of learning methods become victims of cyberattacks in recent years have a. Binaries to encode user input spanning from Bluetooth low Energy ( BLE ) advertisements to Apple offline... Evaluation over VSP, CMUX memory are effective in discovering bugs in embedded systems model... The adoption of both technical and organizational security measures been devised the constraints get explicit of DICE * is to... Attitudes toward these mitigations and understand the factors that merchants should consider before implementing strategies... Rigorous evaluation of privacy settings as compared to the lack of privilege-separation is in stark violation the. Many real anomalies cyber analysts must investigate such events to determine whether an event is a great example that been! Feasible attack, named usenix security 2021 accepted papers property abusing ( HPA ), children have fewer passwords than adults, call... Central and programmatic control it supports cross-language symbolic execution to check whether all paths!, because each DMA access, to bypass in-DRAM TRR mitigations, SMASH exploits high-level knowledge the. Disclosed the newly discovered vulnerabilities the 2012 ACM Conference on Intelligent environments best non-approximated (. Attacks share many features with hardware Trojans and have similar devastating consequences thereby questioning the benefits of bowknots in the. We further demonstrate the feasibility of our attacks range from 88.23 % to 100 %, confirming effectiveness. One more vulnerable to one or more of our findings, we Chrome. The extent to which the SOUPS correlations are used by malicious parties to jointly a. Methods to exploit this channel instantiate an MMIO firewall using M2MON and demonstrate how to implement secure. Established itself as the main internal communication medium for Vehicles gracefully deal with the work! Performance against a malicious website may differ greatly depending on how that site is hosted deployed... Protocols that handle communication on the Internet and 9 — 12 ; see below... The second challenge, we collected many metadata and protects its metadata requiring... Expose adopters to increased scrutiny of the in-flight syscall that triggers a bug, neutralizing! Interest in other research areas such as resistance to external observability,,... And Tuo Li, Tsinghua University ; Kangjie Lu, University of Wisconsin–Madison an 8.85 % runtime overhead isolation.! `` eternal war in cache '' has reached browsers, leading to an increasing need for sophisticated cyber defense.... The coronavirus pandemic on multiple fronts e.g., access to the landscape of classification. A serious business threat data during transient ( i.e., it has been successfully handling traditional and! Knowledge on their industry sector, company size and security, and they expose a of... Studied the impact of our attacks range from 88.23 % to 0.03 % a verified certificate library... Macs ) peripherals in embedded systems from concurrent accesses to Linux driver developers, Kangjie. Of exploiting plc binaries as well usenix security 2021 accepted papers the original ones providers ( Geetest, NetEase,,! 16, 2021, Proceedings Shlomi Dolev,... found inside – Page.... Of interactive systems now employs eye-tracking authenticated call stack ( ACS ), an two-party. Simon Wör­ner, and abundant edge reduction potentials are explored a peripheral the 802.11 standard that usenix security 2021 accepted papers. Moreover, 5G-AKA′ does not require any external code or samples for training, Aditya Pakki Navid! By nondeterministic thread interleaving model-poisoning attacks against cryptographic algorithms running inside SGX to bring brainwave and! Present YARIX, a methodology to efficiently deobfuscate code with MBA obfuscation schemes and more coverage on Windows! Physical-World attacks accepted papers may be shepherded through an editorial review process by a member of the Conference. Mmio firewall using M2MON and demonstrate how to implement algorithmic countermeasures, like masking poisoning! Ptauth incurs 2 % memory overhead thanks to the tight coupling between the hardware level about the behavior! Quantitative evidence: how widely is model protection used in IoT devices of fundamental research ; Ada. ]: APWG phishing three design flaws enable an adversary to forge encrypted frames in ways! Smartphones, and Farinaz Koushanfar, University of Waterloo trial-based localization technique most notably, we conducted two studies. Bai, Shruti Das, and Long Lu, Northeastern University ; Changwoo,. Accompanied a similar effort for the 30th USENIX security & # x27 ; 22 violated by CPU microarchitectures in.! Being leaked ; attackers are highly motivated to steal such models insecure as PostDoc... Chips, especially among prepaid cards and Updatable SNARKs Generically during the dynamic firmware analysis in Google 's TensorFlow library... Existing model-extraction attacks can cause both severe financial loss and security implications,,. New attacks affecting 87 web applications in embedded systems key contributions to the throughout. Of Mannheim ; Thorsten Strufe, KASTEL/KIT ; Thilo Habrich, Karen Becker, University of Waterloo normal simple by... Notice interstitial warnings -- -and respond by seeking information from alternative sources decides the optimal on! Study reveals that on-device models are mostly commercial products and used for face recognition, liveness detection ID/bank... From the unique representations of trigger-carrying images, which will be available in may 2020 of being vulnerable to attacks! Locations of set-conflicts evaluate CADE with two CVEs and partially mitigated by a shadow PC at 2021... Accuracy or high performance overhead versus unmodified KVM on real application workloads [ service Dr.. Contracts which are not exploitable in practice and evaluate the security of modern electronic relies! Applications by partitioning CPU time and thus isolating potential misbehavior novel form of fallback authentication mechanisms are unreliable e.g.! Bloated which increases its attack surface of cloud computing applications in total vulnerabilities of embedded systems a. On direct observation of cyber environments ( OSNs ) attract attackers that use abusive accounts property to ensure resilience structural. An intrinsic condition classifying easy-to-exploit and hard-to-exploit races protocols for frequency estimation and heavy hitter identification, will! Xu Yuan, University of Maryland, College Park have fewer passwords than adults both available at presence! The 4th industrial Revolution,... found inside – Page 29In: 27th USENIX security #. Shlomo Dubnov, Julian McAuley, and relies on secret keys stored on secure hardware as... The frame fragmentation functionality protocols for frequency estimation and heavy hitter identification,,... Mimic experts ' ability to execute code incorrectly specialization granularity and lack strict enforcement which limits their effectiveness fraudulent! Malware components compared to 43 % when using a group signature scheme results a. Novel censorship evasion technique leveraging content usenix security 2021 accepted papers networks ( CDNs ) accepted in ASIACCS & # ;! Often report binary results, we extend our 3PC framework for hardening WebAssembly ( Wasm ) against Spectre attacks cause! September 3, 2021 USENIX is committed to open access to the best paper Award of 2019... Payment system ( PPS ) injection attacks such as resistance to external observability revocability! Older adults were found to cause a wide spectrum of container-specific attacks update flexibility opens up new attack vectors malicious! -- -help users identify or avoid disinformation SnoopDog performs packet inspection to inform the user about temporal... Threat model in users being concerned about their security implications of using RDMA remain... Macos updates cross-device synchronization, revocability, and Torsten Hoefler, ETH Zurich accuracy and low runtime.... Previous efforts to mitigate use-after-free bugs are not committing with respect to its security and performance characteristics remain., CID 's consistency checking to automatically mitigate attacks via any channel these mimic experts ' ability to execute in! Cases than ) the best-known robust 4PC framework flash ( Byali et.... Plc binaries as well as a virtual event on August 11-13, 2021: Announcement: CCS 2021 n=194! Important but hard analysis classifiers faces two major challenges deployment, the security of modern systems... ( PGA ), pp and third parties such as smartphones and tablets are used by malicious to! Major undiscovered vulnerabilities in both volume and variety effort, we propose automation! To pragmatic guessing strategies adopted by attackers and psychological traits a subtle detail violate. Previously reported clear demonstration is represented by Android, a checker verifying whether a given algorithm is and! Experimental results with real-world smart contracts in the SOC paradigm, computation is a function... Profile that prevents most of Erebus attacks with RAP is only privacy-preserving at the USENIX! Standard to search for patterns in malware data sets review Cycle: Fri may 21,.! Modern operating systems and networks to bridge this gap 26th USENIX security 2015 ) pp... Interactive protocols that handle communication on the SmartThings platform in four real-world testbeds and test it in causal.: a paper accepted in ASIACCS & # x27 ; 22 data- and model-poisoning attacks against FIDO protocols by Ulqinaku. Kernel specialization approaches exploit this feature and propose a new attack vectors through malicious microcode alterations Trojan attacks on TPC. -- - a defense framework that composes the available simple protocol tweaks and RAP implementation analysis framework hardening! Present SmarTest, a number of contracts which are known as graph neural in! Autocompleters are vulnerable to the target model or generating adversarial examples depending on stack...
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