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<h1 class="tg-channel-header">Usenix security 2021. Support USENIX and our commitment to Open Access.</h1>
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Don’t let this opportunity pass. ">Usenix security 2021 Depending on the application, our attacks cause system crashes, data corruption and leakage, degradation of security, and can introduce remote code execution and arbitrary errors. Jun 2, 2021 · Published elsewhere. 30th USENIX Security Symposium August 11–13, 2021 Wednesday, August 11 Usability: Authentication Effect of Mood, Location, Trust, and Presence of Others on Video-Based Social Authentication . In three security case studies we demonstrate how to overcome these issues and give insights on how to design meaningful microcode Trojans that undermine system security. Trung Tin Nguyen, CISPA Helmholtz Center for Information Security; Saarbrücken Graduate School of Computer Science, Saarland University; Michael Backes, Ninja Marnau, and Ben Stock, CISPA Helmholtz Center for Information Security USENIX is committed to Open Access to the research presented at our events. An email's authenticity is based on an authentication chain involving multiple protocols, roles and services, the inconsistency among which creates security threats. We hope you enjoyed the event. This paper demonstrates that in such settings, an adversary can perform a training data extraction attack to recover individual training examples by querying the language model. In this paper we define and quantify for the first time the threats that related-domain attackers pose to web application security. Reiter: USENIX USENIX is committed to Open Access to the research presented at our events. 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. e. Due to the dynamic behavior changes of attackers (and/or the benign counterparts), the testing data distribution is often shifting from the original training data over time, causing major failures to the deployed model. GPT-2 uses a USENIX is committed to Open Access to the research presented at our events. Albeit their popularity, little has been done to evaluate their security and associated risks. Our attack enables a malicious client to learn model weights with 22x--312x fewer queries than the best black-box model-extraction attack and A recent cryptographic solution Delphi (Usenix Security 2020) strives for low latency by using GPU on linear layers and replacing some non-linear units in the model at a price of accuracy. Finally, we use a state-of-the-art formal verification tool, Tamarin prover, to prove that 5G-AKA′ achieves the desired security goals of privacy, authentication and secrecy. Zhikun Zhang, Zhejiang University and CISPA Helmholtz Center for Information Security; Tianhao Wang, Ninghui Li, and Jean Honorio, Purdue University; Michael Backes, CISPA Helmholtz Center for Information Security; Shibo He and Jiming Chen, Zhejiang University and Alibaba-Zhejiang University Joint Research Institute of Frontier Technologies; Yang Zhang, CISPA Helmholtz Center for Information We present SmarTest, a novel symbolic execution technique for effectively hunting vulnerable transaction sequences in smart contracts. . To foster future research and applications, we publicly release our implementation and evaluation platform. , wormhole attacks), staggered collateral (i. , graphs) is largely unexplored, which is highly concerning given their increasing use in security-sensitive domains. Nov 20, 2023 · 30th USENIX Security Symposium, USENIX Security 2021, August 11-13, 2021. Yuchen Wang, TCA of State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences & Alibaba Group Concept drift poses a critical challenge to deploy machine learning models to solve practical security problems. In the past several years, researchers from multiple communities—such as security, database, and theoretical computer science—have proposed many LDP protocols. Existing detection approaches mainly fall into two categories: static and dynamic analysis. 1 day ago · 30th USENIX Security Symposium, USENIX Security 2021, August 11-13, 2021. This is especially true for kernel fuzzing due to (1) OS kernels' sheer size and complexity, (2) a unique syscall interface that requires special handling (e. , test cases) are often not USENIX is committed to Open Access to the research presented at our events. 30th SENIX Security Syposium. Directed greybox fuzzing is an augmented fuzzing technique intended for the targeted usages such as crash reproduction and proof-of-concept generation, which gives directedness to fuzzing by driving the seeds toward the designated program locations called target sites. view. Poster submissions due for SOUPS 2021; Lightning Talk proposals due for SOUPS 2021; Karat Student Award nominations due for SOUPS 2021; Tuesday, June 8. Early detection of ReDoSvulnerable regexes in software is thus vital. It can handle a query on CIFAR-100 with ~68% accuracy in 14s or ~66% accuracy in 2. Reiter, Duke USENIX is committed to Open Access to the research presented at our events. USENIX Security '21 (2021) Attacker-controlled variable. AGPL-3. By analyzing the CVEs and patches available since the inception of the Android security bulletin, as well as open-source upstream kernels (e. 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. 's protocol and interview instrument applied to a sample of strictly older adults (>60 years of USENIX is committed to Open Access to the research presented at our events. Distinguished Paper Award Winner and Third Prize winner of the 2021 Internet Defense Prize Abstract: Reflective amplification attacks are a powerful tool in the arsenal of a DDoS attacker, but to date have almost exclusively targeted UDP-based protocols. 6s. Papers and proceedings are freely available to everyone once the event begins. Unfortunately, existing vulnerability detection methods cannot effectively nor efficiently analyze such web services: they either introduce heavy execution overheads or USENIX is committed to Open Access to the research presented at our events. In this paper, we investigate cross-protocol attacks on TLS in general and conduct a systematic case study on web servers, redirecting HTTPS requests from a victim USENIX is committed to Open Access to the research presented at our events. Nevertheless, real-life applications (e. Paper submissions due for USENIX Security '22 Summer quarter deadline 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. Stars. org Please join us for the 30th USENIX Security Symposium, which will be held as a virtual event on August 11–13, 2021. Thus, it depends on the weakest link of the chain, as any failed part can break the whole chain-based defense. USENIX Association 2021, ISBN 978-1-939133-24-3. ReDMArk shows that current security mechanisms of IB-based architectures are insufficient against both in-network attackers and attackers located on end hosts, thus affecting not only secrecy, but also USENIX is committed to Open Access to the research presented at our events. August 1–13 021 978-1-939133-24-3 Open access to the roceedings of the 30th SENIX Security Symposiu is sponsored b SENIX. 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. A Large-Scale Interview Study on Information Security in and Attacks against Small and Medium-sized Enterprises. It has become common to publish large (billion parameter) language models that have been trained on private datasets. , in the context of private inference using deep neural networks) often involve highly complex computations, and existing ZK protocols lack the expressiveness and scalability to prove results about such computations We leverage the use of TLS certificates by phishers to uncover possible Dutch phishing domains aimed at the financial sector between September 2020 and January 2021. , Canada 30th USENIX Security Symposium Symposium Overview The USENIX Security Symposium brings together researchers, practitio - ners, system administrators, system programmers, and others interested in the latest advances in the security and privacy of computer systems and networks. Jun 2, 2020 · Please join us for the 30th USENIX Security Symposium, which will be held as a virtual event on August 11–13, 2021. g. The 30th USENIX USENIX is committed to Open Access to the research presented at our events. These studies mainly focused on improving the utility of the LDP protocols. cr/2021/730 License CC BY USENIX is committed to Open Access to the research presented at our events. . An Analysis of Speculative Type Confusion Vulnerabilities in the Wild •Question of this paper: Are OS Fuzzing embeds a large number of decisions requiring finetuned and hard-coded parameters to maximize its efficiency. In this work, we investigate where Internet services are deployed in practice and evaluate the security posture of services on unexpected ports. 30th USENIX Security Symposium August 11–13, 2021 Wednesday, August 11 Usability: Authentication USENIX is committed to Open Access to the research presented at our events. We expand these findings by replicating Pearman et al. Thursday, May 27. Recent progress in interactive zero-knowledge (ZK) proofs has improved the efficiency of proving large-scale computations significantly. While fuzz testing proved to be a very effective technique to find software bugs, open challenges still exist. However, this security risk is not well studied and understood in JavaScript and Node. Our results suggest that if even high-risk users with clear risk conceptions view existing tools as insufficiently effective to merit the cost of use, these tools are not actually addressing their real security needs. In this work, we aim to bridge this gap. A kernel data race is notoriously challenging to detect, reproduce, and diagnose, mainly caused by nondeterministic thread interleaving. Distinguished Paper Award Winner and Second Prize winner of the 2021 Internet Defense Prize Abstract: Semi-supervised machine learning models learn from a (small) set of labeled training examples, and a (large) set of unlabeled training examples. The Seventeenth Symposium on Usable Privacy and Security (SOUPS 2021), August 8–10, 2021, Virtual Event. Please join us for the 30th USENIX Security Symposium, which will be held as a virtual event on August 11–13, 2021. The kernel data race has a critical security implication since it often leads to memory corruption, which can be abused to launch privilege escalation attacks. , Hash Time-Lock Contracts) that hinders a wider deployment in Thanks to those who joined us for the 33rd USENIX Security Symposium. ATLAS: A Sequence-based Learning Approach for Attack Investigation Abdulellah Alsaheel and Yuhong Nan, Purdue University; Shiqing Ma, USENIX is committed to Open Access to the research presented at our events. USENIX is committed to Open Access to the research presented at our events. Any video, audio, and/or slides that are posted after the event are also free and open to everyone. Support USENIX and our commitment to Open Access. Despite the plethora of prior work on DNNs for continuous data (e. 0 license Activity. Hence, the security of RDMA architectures is crucial, yet potential security implications of using RDMA communication remain largely unstudied. Jun 14, 2021 · 2021: Conference Name: 30th USENIX Security Symposium (USENIX Security 21) Date Published: 08/2021: Publisher: USENIX Association: URL: https://www. C. In this paper, we fill the gap by conducting the first systematic study on the communication process between client- and server-side code in Node. However, when tied with economical incentives, 2-phase-commit brings other security threats (i. This breaks the authentication of TLS and cross-protocol attacks may be possible where the behavior of one service may compromise the security of the other at the application layer. , Linux and AOSP) and hundreds of mostly binary OEM kernels (e. , encoding explicit dependencies among syscalls), and (3) behaviors of inputs (i. Aug 13, 2021 · (USENIX SECURITY'21) (6 VOLS) Date/Location: Held 11-13 August 2021, Online. 2634 30th USENIX Security Symposium USENIX Association. Publish and present your work at a USENIX conference! Mark your calendars with these upcoming deadlines. Due to the wide adoption of regexes in computation, ReDoS poses a pervasive and serious security threat. , by Samsung), we find that the delays of patches are largely due to the current patching practices and the lack of knowledge about which USENIX is committed to Open Access to the research presented at our events. Password managers (PMs) are considered highly effective tools for increasing security, and a recent study by Pearman et al. , funds are locked for a time proportional to the payment path length) and dependency on specific scripting language functionality (e. A security threat to deep neural networks (DNN) is data contamination attack, in which an adversary poisons the training data of the target model to inject a backdoor so that images carrying a specific trigger will always be given a specific label. Many popular vulnerabilities of embedded systems reside in their vulnerable web services. Because smart contracts are stateful programs whose states are altered by transactions, diagnosing and understanding nontrivial vulnerabilities requires generating sequences of transactions that demonstrate the flaws. Readme License. August 11–13, 2021 • Vancouver, B. Our findings underscore the importance of more holistic design of security tools to address both online and offline axes of safety. One of the its main limitations is the fact that popular coverage-guided designs are optimized to reach different parts of the program under test, but struggle when reachability alone is insufficient to trigger a vulnerability. In our evaluation of the attacks in the Internet we find that all the standard compliant open DNS resolvers we tested allow our injection attacks against applications USENIX is committed to Open Access to the research presented at our events. In particular, we first clarify the capabilities that related-domain attackers can acquire through different attack vectors, showing that different instances of the related-domain attacker concept are worth attention. , Canada, for the 30th USENIX Security Symposium. (SOUPS '19) highlighted the motivations and barriers to adopting PMs. usenix. USENIX Security 2021 Keywords zero-knowledge proofs Contact author(s) ckweng @ u northwestern edu yangk @ sklc org xiexiang @ matrixelements com jkatz2 @ gmail com wangxiao @ cs northwestern edu History 2021-06-02: received Short URL https://ia. table of contents in dblp; USENIX is committed to Open Access to the research presented at our events. 1 Cheng Guo and Brianne Campbell, Clemson University; Apu Kapadia, Indiana University; Michael K. Aug 11, 2021 · Join us in Vancouver, B. We show protocol deployment is more diffuse than previously believed and that protocols run on many additional ports beyond their primary IANA-assigned port. Minor revision. js programs. USENIX Security '24: Web Platform Threats: Automated Detection of Web Security Issues With WPT: Pedro Bernardo, Lorenzo Veronese, Valentino Dalla Valle, Stefano Calzavara, Marco Squarcina, Pedro Adão, Matteo Maffei: USENIX Security '24: The Impact of Exposed Passwords on Honeyword Efficacy: Zonghao Huang, Lujo Bauer, Michael K. manage site settings. Usenix Security 2021 - AURORA: Statistical Crash Analysis for Automated Root Cause Explanation Resources. Although SDN can improve network security oversight and policy enforcement, ensuring the security of SDN from sophisticated attacks is an ongoing challenge for practitioners. To proactively address the problem, we propose a systematic evaluation of Android SmartTVs security. were all trained using the same dataset and training algorithm, but with varying model sizes. , images), the vulnerability of graph neural networks (GNNs) for discrete-structured data (e. However, their pervasiveness also amplifies the impact of security vulnerabilities. USENIX Association 30th USENIX Security Symposium 3595. Existing network forensics tools attempt to identify and track such attacks, but holistic causal reasoning across control and data planes remains challenging. We collect 70 different Dutch phishing kits in the underground economy, and identify 10 distinct kit families. However, the security of LDP protocols is largely unexplored. SUPI 3G/4G 5G Link the user’s 3G/4G and 5G sessions Figure 1: Tracing a high-value target user’s UE across SmartTVs, the most widely adopted home-based IoT devices, are no exception. </div>
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