Usenix security 2022

Onsite sponsor tables move-in schedule (times subject to change): Tuesday, August 9, 2022: 4:00 pm–6:00 pm. ALASTOR records function activity at both system and application layers to capture a holistic picture of each function instances' behavior. We identify six novel violation types, such as incorrect category assignments and misleading expiration times, and we find at least one potential violation in a surprising 94. To receive this rate, book your room online or call the hotel and mention USENIX or USENIX Security Hide details . High-level languages ease reasoning about programs by providing useful abstractions such as loops, typed variables, and comments, but these abstractions are lost during USENIX is committed to Open Access to the research presented at our events. Philadelphia Marriott Downtown. 4% overhead on diverse workloads across two benchmark suites. It then aggregates provenance from different functions Distinguished Paper Award Winner and Second Prize Winner (tie) of the 2022 Internet Defense Prize Abstract: Website fingerprinting (WF) attacks on Tor allow an adversary who can observe the traffic patterns between a victim and the Tor network to predict the website visited by the victim. February 21, 2023–February 23, 2023. , an alert fired on a suspicious file creation), causality analysis constructs a dependency graph, in which nodes represent system entities (e. Further, it presents a set of unified Given our results, we recommend that queer-specific and general security and safety advice focus on specificity—why and how—over consistency, because advice cannot be one-size-fits-all. A common tool used by security professionals for reverse-engineering binaries found in the wild is the decompiler. , velocity and direction). This paper presents Lumos, a system that runs on commodity user devices (e. 31st USENIX Security Symposium. On system call heavy workloads, Midas incurs 0. USENIX ATC '22 will bring together leading systems researchers for cutting-edge systems research and the opportunity to gain insight into a wealth of must-know topics. Support USENIX and our commitment to Open Access. First, through an extensive empirical study of 10 popular NAS methods, we show that compared with their This paper initiates research on zero-knowledge middleboxes (ZKMBs). 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 As AMD is believed to be not vulnerable to these attacks, this software patch is not active by default on AMD CPUs. The promise is that synthetic data drawn from generative models preserves the statistical properties of the original dataset but, at the same time, provides perfect In this paper, we introduce "Lamphone," an optical side-channel attack used to recover sound from desk lamp light bulbs; such lamps are commonly used in home offices, which became a primary work setting during the COVID-19 pandemic. USENIX has negotiated a special conference attendee room rate of US$219 plus tax for single/double occupancy for conference attendees, including in-room wireless internet. Our implementation and evaluation of these two techniques indicate that leveraging Wasm gives us provably-safe multilingual sandboxing with performance comparable to standard, unsafe approaches. In an online survey we conducted with security practitioners (n = 20) working in SOCs, practitioners confirmed the high FP rates of the tools used We would like to show you a description here but the site won’t allow us. Jul 6, 2023 · The 32nd USENIX Security Symposium will be held August 9–11, 2023, in Anaheim, CA. Clients send the middlebox zero-knowledge proofs that their traffic is policy-compliant; these proofs reveal nothing about the client's communication except that it complies with the policy. This paper presents the first comprehensive analysis of contention-based security vulnerabilities in a high-performance simultaneous mulithreaded (SMT) processor. js vulnerabilities shows that ODG together with AST and Control Flow Graph (CFG) is capable of modeling 13 out of 16 vulnerability types. Prepublication versions of the accepted papers from the summer submission deadline are available below. org 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. 7% of the analyzed websites. We exploit this tradeoff to develop attacks that The vulnerability of deep neural networks (DNN) to backdoor (trojan) attacks is extensively studied for the image domain. Tables tear down: Friday, August 12, 2022: 3:00 pm–4:30 pm. com Web: www. In this work, we present Elasticlave, a new TEE memory model which allows sharing. js programs via abstract interpretation and detect vulnerabilities. To address the issue, we propose PrivGuard, a novel Abstract: Multi-writer encrypted databases allow a reader to search over data contributed by multiple writers securely. We design and deploy an architecture to bootstrap secure routing. e. USENIX Security '23 has three submission deadlines. In-Person Attendee (SOLD OUT) US$950. Abstract: To enable safe and reliable decision-making, autonomous vehicles (AVs) feed sensor data to perception algorithms to understand the environment. The group rate is available until Monday, July 18, 2022, or until the block sells out, whichever occurs We explore generic and UAV-specific GPS spoofing strategies in order to best achieve complete maneuvering control (e. Given a POI (Point-Of-Interest) event (e. We discover timing and power variations of the prefetch instruction that can be observed from unprivileged user space. Furthermore, it matches the expected input format of the enclave without any prior knowledge. Registration Option. We present a general solution and apply it specifically to HTTP and DNS censorship in China, India, and Kazakhstan. Papers and proceedings are freely available to everyone once the event begins. The key design property in RPKI that allows our attacks is the tradeoff between connectivity and security: when networks cannot retrieve RPKI information from publication points, they make routing decisions in BGP without validating RPKI. In this paper, we present the first study of a video identification attack in Long Term Evolution (LTE) networks. Sensor fusion with multi-frame tracking is becoming increasingly popular for detecting 3D objects. The second carefully embeds Wasm semantics in safe Rust code such that the Rust compiler can emit safe executable code with good performance. In this paper, we propose Robust Representation Matching (RRM), a low-cost method to transfer the robustness of an adversarially trained model to a new model being trained for the same task irrespective of Abstract: The DNS-based Authentication of Named Entities (DANE) is an Internet security protocol that enables a TLS connection without relying on trusted third parties like CAs by introducing a new DNS record type, TLSA. As DANE can solve security challenges in Piranha allows the MPC community to easily leverage the benefits of a GPU without requiring GPU expertise. Wednesday, August 10, 2022: 8:00 am–10:00 am. We hope you enjoyed the event. Please reference the corresponding Call for Papers' blindness policy to double-check whether author names should be included in your paper submission. +1 215. The Academic College of Tel Aviv-Yaffo. Tel Aviv, Israel. USA. We find that over 90% vulnerabilities can be hotpatched via RapidPatch. In a backdoor attack, a DNN is modified to exhibit expected behaviors under attacker-specified inputs (i. We implement this system by directly instrumenting a popular backtracking regexp engine, which increases the scope of supported regexp syntax and features over prior work. exploited, the bugs can lead to severe security issues like data breach and hijacked execution. However, its search latency is not welcomed in practice for having public-key operations linear in the entire database. Evaluation results show that StateFuzz is effective at discovering both new code and vulnerabilities. 57 Morehouse Lane Red Hook, NY 12571 USA Phone: 845-758-0400 Fax: 845-758-2633 Email: curran@proceedings. Lumos addresses key challenges in: (1) identifying diverse devices using only coarse-grained wireless layer We demonstrate the first downgrade attacks against RPKI. Worse still, by abusing the bottom model, he/she can even infer labels beyond the training dataset. In this paper, we present PrivSyn, the first automatic synthetic data We implemented an open-source prototype system, called ODGEN, to generate ODG for Node. 501. FAST '23. Vulnerabilities inherited from third-party open-source software (OSS) components can compromise the entire software security. A decompiler attempts to reverse compilation, transforming a binary to a higher-level language such as C. This development has influenced computer security, spawning a series of work on learning-based security systems, such as for malware detection In this paper, we propose a novel framework for automatically reverse engineering the diagnostic protocols by leveraging professional diagnostic tools for vehicles. Improving Logging to Reduce Permission Over-Granting Mistakes. It introduces public key encryption to conceal the so-called SUPIs so as to enhance mobile users' privacy. On a dataset of 103,137 vulnerabilities, we show that EE increases precision from 49% to 86% over existing metrics, including two state-of-the-art exploit classifiers, while its precision substantially improves over time. SYSTOR 2024. With ReZone, a monolithic TEE is restructured and partitioned into multiple sandboxed domains named zones, which have only access to private Abstract: With the growing processing power of computing systems and the increasing availability of massive datasets, machine learning algorithms have led to major breakthroughs in many different areas. Fall Deadline: Tuesday, October 11, 2022, 11:59 pm AoE. To ease the construction of such a benchmark, this paper presents FIXREVERTER, a tool that automatically injects realistic bugs in a program. Several research communities such as security, programming language analysis, and machine learning, have been working on this topic for more than five years, with hundreds of papers published on the We demonstrate that such typosquatting attacks could pose a serious security threat in both public and private registries as well as across multiple platforms. @inproceedings {280010, author = {Timothy Stevens and Christian Skalka and Christelle Vincent and John Ring and Samuel Clark and Joseph Near}, title = {Efficient Differentially Private Secure Aggregation for Federated Learning via Hardness of Learning with Errors}, Aug 6, 2023 · SREcon23 Americas. Our experiments show that the proposed attacks achieve an outstanding performance. By determining how hardware-generated values are actually used by the firmware logic, Fuzzware can automatically generate models that help focusing the fuzzing process on mutating the inputs that matter USENIX is committed to Open Access to the research presented at our events. It features a characterization of contention throughout the shared pipeline, and potential resulting leakage channels for each resource. , code changes that occur during the OSS To evaluate our approach, we design, implement, and open-source a Hardware Fuzzing Pipeline that enables fuzzing hardware at scale, using only open-source tools. , 5G-AKA) by Technical Specification (TS) 33. 1 day ago · The non-conflicted USENIX Security 2022-2024 program committee (PC) chairs, in consultation with USENIX and non-conflicted members of the USENIX Security Steering Committee (SC), have investigated these allegations and have found no evidence to substantiate the allegations. US$1100. While SBAS appears as one AS to the Internet, it is a federated network where routes are exchanged between participants using a secure backbone. Elasticlave strikes a balance between security and flexibility in managing Midas shows no noticeable drop in performance when evaluated on compute-bound workloads. , triggers ). September 23, 2024–September 25, 2024. Winter Deadline: Tuesday, February 7, 2023, 11:59 pm AoE. Account Security Interfaces: Important, Unintuitive, and Untrustworthy. We also highlight the practical utility of EE for predicting imminent exploits and prioritizing critical vulnerabilities. The full program will be available soon. Winter Deadline: Tuesday, February 1, 2022, 11:59 pm AoE. To do this, we first create two datasets; one using thousands of user posts from eleven forums whose users discuss monetization on YouTube, and one using listing data from five active sites that facilitate the purchase and sale of YouTube First, although a general population of VPN users primarily use VPNs to improve privacy and security, students are additionally concerned with access to content (e. 2022 USENIX Annual Technical Conference will take place July 11–13, 2022, at the Omni La Costa Resort & Spa in Carlsbad, CA, USA. The culprit is the heavy reliance on human auditing in today's compliance process, which is expensive, slow, and error-prone. A Two-Decade Retrospective Analysis of a University's Vulnerability to USENIX Security '22 submissions deadlines are as follows: Summer Deadline: Tuesday, June 8, 2021, 11:59 pm AoE. We show how fluctuations in the air pressure on the surface of a light bulb, which occur in response to sound and August 12–14, 2020. March 21, 2023–March 23, 2023. , phone, laptop) and enables users to identify and locate WiFi-connected hidden IoT devices and visualize their presence using an augmented reality interface. August 14, 2024–August 16, 2024. USENIX Security '23 submissions deadlines are as follows: Summer Deadline: Tuesday, June 7, 2022, 11:59 pm AoE. Using our pipeline, we fuzz five IP blocks from Google's OpenTitan Root-of-Trust chip, four SiFive TileLink peripherals, three RISC-V CPUs, and an FFT accelerator. Alaa Daffalla, Cornell University; Marina Bohuk, Cornell University; Nicola Dell, Jacobs Institute Cornell Tech; Rosanna Bellini, Cornell University; Thomas Ristenpart, Cornell Tech. In differential privacy (DP), a challenging problem is to generate synthetic datasets that efficiently capture the useful information in the private data. All papers that are accepted by the end of the winter submission reviewing cycle (February–June 2023) will appear in To investigate the potential for VPN blocking, we develop mechanisms for accurately fingerprinting connections using OpenVPN, the most popular protocol for commercial VPN services. proceedings. Detailed information is available at USENIX USENIX Security '22 Fall. For the first time, we characterize the insecure/secure boundary of data reconstruction attack in terms of To address this gap in existing work, we develop Regulator, a novel dynamic, fuzzer-based analysis system for identifying regexps vulnerable to ReDoS. Please join us for the 30th USENIX Security Symposium, which will be held as a virtual event on August 11–13, 2021. A ZKMB is a network middlebox that enforces network usage policies on encrypted traffic. 6%. Fall Deadline: Tuesday, October 12, 2021, 11:59 pm AoE. Exhibits Tear Down: Friday, August 12, 2022: 3:00 pm–4:30 pm. We have implemented a prototype of StateFuzz, and evaluated it on Linux upstream drivers and Android drivers. 17th ACM International Systems and Storage Conference In cooperation with USENIX. We present the design and implementation of Fuzzware, a software-only system to fuzz test unmodified monolithic firmware in a scalable way. To help detect memory errors, various runtime tools [10,14,27,36,37,42,44,47,48,50,53] have been created. Thanks to those who joined us for the 29th USENIX Security Symposium (USENIX Security '20). Enigma 2022 will take place February 1–3, 2022, at the Hyatt Regency Santa Clara in Santa Clara, CA, USA. MS Word sample file for USENIX papers. The 31st USENIX Security Symposium will be held August 10–12, 2022, in Boston, MA. This stage synthesizes multi-layer pointer structures and size fields incrementally on-the-fly based on fault signals. We use this setup to fuzz enclaves using a state-of-the-art snapshot fuzzing engine that deploys our novel structure synthesis stage. Anuj Gautam, Shan Lalani, and Scott Ruoti, The University of Tennessee. USENIX Association 2022 , ISBN 978-1-939133-31-1 Measurement I: Network Scalable Multi-Party Computation Protocols for Machine Learning in the Honest-Majority Setting. The synthetic dataset enables any task to be done without privacy concern and modification to existing algorithms. , circumvention of geographic restrictions). Just after sessions end on day 1 and 2 (5:00 - 6:00) Exhibits Set up: Tuesday, August 9, 2022: 4:00 pm–6:00 pm. We discovered that, by leveraging broadcast radio signals, an unprivileged adversary equipped with a software-defined radio In this paper, we present the first techniques to automate the discovery of new censorship evasion techniques purely in the application layer. On-site exhibits: Peak traffic during breaks/between sessions. 21st USENIX Conference on File and Storage Technologies. Thus, in this work, we perform an analysis of camera-LiDAR fusion, in the AV context, under Registration Fees. , processes and files) and edges represent dependencies among entities, to reveal the attack sequence. 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. Hyatt Regency Santa Clara/Santa Clara Convention Center. Abstract: The prosperous development of cloud computing and machine learning as a service has led to the widespread use of media software to process confidential media data. 625. Abstract: Continuous compliance with privacy regulations, such as GDPR and CCPA, has become a costly burden for companies from small-sized start-ups to business giants. , OSS updates) and external modifications of OSS (e. USENIX Security '23. 2900. In this paper, we show that the isolation on AMD CPUs suffers from the same type of side-channel leakage. g. Piranha contributes a three-layer architecture: (1) a device layer that can independently accelerate secret-sharing protocols by providing integer-based kernels absent in current general-purpose GPU libraries, (2) a modular protocol layer The main novelty behind ReZone design relies on leveraging TrustZone-agnostic hardware primitives available on commercially off-the-shelf (COTS) platforms to restrict the privileges of the trusted OS. On average, Midas shows a 3. Our goal is to clearly explain emerging threats and defenses in the growing intersection of society and technology, and to foster an intelligent and informed conversation within In our work, we perform the first analytic study on the security boundary of data reconstruction from gradient via a microcosmic view on neural networks with rectified linear units (ReLUs), the most popular activation function in practice. Welcome to the 31st USENIX Security Symposium (USENIX Security '22 Summer) submissions site. USENIX Security '24. Important: In 2023, we are introducing substantial changes to the review process, aimed to provide a more consistent path towards acceptance and reduce the number of times papers reenter the reviewing process. We document the severity of this situation through an analysis of potential GDPR violations in cookie banners in almost 30k websites. The ability to accurately compute the similarity between two pieces of binary code plays an important role in a wide range of different problems. Sample PDF for USENIX papers. A video identification attack is a tangible privacy threat that can reveal videos that victims are watching. 2-14% performance overhead, while protecting the kernel against any TOCTTOU attacks. To shed light on the container registry typosquatting threat, we first conduct a measurement study and a 210-day proof-of-concept exploitation on public container registries, revealing Abstract: Secure two-party neural network inference (2PC-NN) can offer privacy protection for both the client and the server and is a promising technique in the machine-learning-as-a-service setting. Given the public nature of the accusations, we are taking the atypical The 3GPP consortium has published the Authentication and Key Agreement protocol for the 5th generation (5G) mobile communication system (i. However, 5G-AKA is only privacy-preserving at Synthetic data has been advertised as a silver-bullet solution to privacy-preserving data publishing that addresses the shortcomings of traditional anonymisation techniques. This work represents a solid initial step towards bridging the gap. This paper explores an adversary's ability to launch side channel analyses (SCA) against media software to reconstruct confidential media inputs. All papers that are accepted by the end of the winter submission reviewing cycle (February–May 2022) will appear in IP anycast is used for services such as DNS and Content Delivery Networks (CDN) to provide the capacity to handle Distributed Denial-of-Service (DDoS) attacks. We also discuss the value of intersectionality as a framework for understanding vulnerability to harms in security research, since our participants Yet, thus far little is known about the potential security risks incurred by NAS, which is concerning given the increasing use of NAS-generated models in critical domains. Public-key searchable encryption (PKSE) appears to be the right primitive. Bingyu Shen, Tianyi Shan, and Yuanyuan Zhou, University of California, San Diego. We further share our insights and discuss possible defenses. The average patch delay is less than 8 µs and the overall latency overhead is less than 0. To receive this rate, book your room online or call the hotel and mention USENIX or SOUPS 2022. Depending on site traffic and attack size 34th USENIX Security Symposium: August 13, 2025 2022: 31st USENIX Security Symposium: August 10, 2022 31st USENIX Security Symposium, USENIX Security 2022, Boston, MA, USA, August 10-12, 2022. Second, both groups concluded that VPNs collect data about them, exposing gaps both in mental models about how VPNs work and awareness We evaluate RapidPatch with major CVEs on four major RTOSes running on different embedded devices. Spider-Scents: Grey-box Database-aware Web Scanning for Stored XSS. Santa Clara, CA, United States. Based on our findings, we propose a set of novel label inference attacks against VFL. The group rate is available until Monday, July 17, 2023, or until the block sells out, whichever Additional copies of this publication are available from: Curran Associates, Inc. . Improving Password Generation Through the Design of a Password Composition Policy Description Language. Exploring the backdoor vulnerability of DNN in natural language processing (NLP), recent studies are Abstract: In this work, we focus on the prevalence of False Positive (FP) alarms produced by security tools, and Security Operation Centers (SOCs) practitioners' perception of their quality. Our evaluation of recent Node. Note that templates include author names. Playing the role of an attacker who controls the Such an assessment requires a benchmark of target programs with well-identified, realistic bugs. The 2021–2022 reviewing cycles happened amidst the ongoing COVID-19 pandemic, presenting unique and 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. USENIX has negotiated a special conference attendee room rate of US$259 plus tax for single/double occupancy, including in-room wireless internet. Cascade: CPU Fuzzing via Intricate Program Generation. Specifically, we design and develop a new cyber-physical system that uses a set of algorithms to control a programmable robotics arm with the aid of cameras to automatically trigger This lack of essential functionality breaks compatibility with several constructs such as shared memory, pipes, and fast mutexes that are frequently required in data intensive use-cases. In recent years, address sanitizer Specifically, we provide three contributions: First, we provide a formal definition of private signaling in the Universal Composability (UC) framework and show that it captures several real-world settings where recipient anonymity is desired. Our automated techniques discovered a total of 77 unique evasion strategies for HTTP Causality analysis on system auditing data has emerged as an important solution for attack investigation. See full list on usenix. com. This work highlights that, although COTS UAVs remain vulnerable to GPS spoofing attacks, a complete takeover and control of the UAV requires careful manipulation of the spoofing signals in real-time. Our key insight is to abstract the secure routing backbone as a virtual Autonomous System (AS), called Secure Backbone AS (SBAS). Despite its benefits, FL is vulnerable to so-called backdoor attacks, in which an adversary injects manipulated model updates into In this work, we propose ALASTOR, a provenance-based auditing framework that enables precise tracing of suspicious events in serverless applications. Our system can work on devices with 64 KB or more memory and 64 MHz MCU frequency. USENIX Association 2022, ISBN 978-1-939133-31-1 [contents] CSET 2022: Cyber Security Experimentation and Test Workshop, Virtual Event, 8 August 2022. Philadelphia, PA, United States. FIXREVERTER takes as input a bugfix pattern which contains both code syntax and semantic conditions. To receive this rate, book your room online or call the hotel and mention USENIX or Security '23. 5 days ago · 31st USENIX Security Symposium, USENIX Security 2022, Boston, MA, USA, August 10-12, 2022. Welcome to the 31st USENIX Security Symposium (USENIX Security '22 Fall) submissions site. For full details, see USENIX Security '22 Technical Sessions Lunch is on your own on Wednesday and Friday, with the main Symposium luncheon on Thursday. DANE leverages DNSSEC PKI to provide the integrity and authenticity of TLSA records. With our approach, we can guess 30% of the 5-digit PINs within three attempts – the ones usually allowed by ATM before blocking the card. Any video, audio, and/or slides that are posted after the event are also free and open to everyone. 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. USENIX has negotiated a special conference attendee room rate of US$229 plus tax for single/double occupancy, including in-room wireless internet. Hotel Reservation Deadline: Monday, July 22, 2024. Second, we present two server-aided protocols that UC-realize our definitions: one using a single In this paper, we present the first comprehensive study on exploitative monetization of content on YouTube. These tools vary in many aspects such as scope and capability. USENIX Security '22 Summer. The papers below have been accepted for publication at SOUPS 2022. During a DDoS attack service operators redistribute traffic between anycast sites to take advantage of sites with unused or greater capacity. We identify three fingerprints based on protocol features such as byte pattern, packet size, and server response. USENIX Security ’22 Program Co-Chairs On behalf of USENIX, we, the program co-chairs, want to welcome you to the proceedings of the 31st USENIX Security Symposium. August 10–12, 2022 Boston, MA, USA. Enigma centers on a single track of engaging talks covering a wide range of topics in security and privacy. We also conducted a survey with 78 users that managed to reach an accuracy of only 7. If you choose not to use one of these templates, please format your paper as follows: USENIX is committed to Open Access to the research presented at our events. However, discovering propagated vulnerable code is challenging as it proliferates with various code syntaxes owing to the OSS modifications, more specifically, internal (e. Early Bird (until July 18) Rate (from July 19) Student*. It finds 18 unknown vulnerabilities and 2 known but unpatched vulnerabilities, and reaches 19% higher code coverage and 32% higher Abstract: Federated Learning (FL) is a collaborative machine learning approach allowing participants to jointly train a model without having to share their private, potentially sensitive local datasets with others. However, the large overhead of the current 2PC-NN inference systems is still being a headache, especially when applied to deep neural networks However, adversarial training imposes a significant training overhead and scales poorly with model complexity and input dimension. 92% on average for the same setting. We run a detailed experimental analysis including 58 users. USENIX offers Early Bird Registration Discounts to those who register for USENIX Security '22 by Monday, July 18, 2022. az lz sz my dk if sg dt lx el