Search results
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SeaK: Rethinking the Design of a Secure Allocator for OS Kernel
= {https://www.usenix.org/conference/usenixsecurity24/presentation/wang-zicheng}, publisher = {USENIX Association}, month = aug} Download Wang PDF Wang Appendix PDF Wang Paper ...admin - November 12, 2024 - 2:44 pm
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Operation Mango: Scalable Discovery of Taint-Style Vulnerabilities in Binary Firmware Services
vulnerabilities. In this paper, we propose a new direction: scaling static analysis of firmware binaries so that ... = {https://www.usenix.org/conference/usenixsecurity24/presentation/gibbs}, publisher = {USENIX Association}, month = aug} Download Gibbs PDF Gibbs Appendix PDF Gibbs Paper ...admin - November 12, 2024 - 3:32 pm
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Enabling Contextual Soft Moderation on Social Media through Contrastive Textual Deviation
warnings instead of granular fact-checks, which result in desensitizing users. In this paper, we propose to ... Paper (Prepublication) PDF ...admin - November 12, 2024 - 3:11 pm
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MD-ML: Super Fast Privacy-Preserving Machine Learning for Malicious Security with a Dishonest Majority
= {https://www.usenix.org/conference/usenixsecurity24/presentation/yuan}, publisher = {USENIX Association}, month = aug} Download Yuan PDF Yuan Appendix PDF Yuan Paper ...admin - November 12, 2024 - 2:57 pm
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SoK: All You Need to Know About On-Device ML Model Extraction- The Gap Between Research and Practice
on-device ML model security, which creates a gap between research and practice. This paper provides ... Association}, month = aug} Download Nayan PDF Nayan Appendix PDF Nayan Paper (Prepublication) PDF View the ...admin - November 12, 2024 - 3:22 pm
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Llumnix: Dynamic Scheduling for Large Language Model Serving
Biao Sun, Ziming Huang, Hanyu Zhao, Wencong Xiao, Xinyi Zhang, Yong Li, and Wei Lin, Alibaba Group Inference serving for large language models (LLMs) is the key to unleashing their potential in people's daily lives. However, efficient LLM serving rem ...admin - September 12, 2024 - 2:38 pm
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Moderating Illicit Online Image Promotion for Unsafe User Generated Content Games Using Large Vision-Language Models
Keyan Guo, Ayush Utkarsh, Wenbo Ding, and Isabelle Ondracek, University at Buffalo; Ziming Zhao, Northeastern University; Guo Freeman, Clemson University; Nishant Vishwamitra, The University of Texas at San Antonio; Hongxin Hu, University at Buffalo Onlin ...admin - November 12, 2024 - 3:24 pm
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Seeing Through: Analyzing and Attacking Virtual Backgrounds in Video Calls
paper, we investigate this privacy leak. We analyze the virtual background techniques used in two major ...admin - October 14, 2025 - 2:54 pm
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Robustifying ML-powered Network Classifiers with PANTS
poor decision-making, and security violations, among other issues. The goal of this paper is to help ...admin - October 14, 2025 - 3:02 pm
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Further Study on Frequency Estimation under Local Differential Privacy
compromises among the performances of accuracy, computation cost, and communication cost. In this paper, we ...admin - October 13, 2025 - 6:17 pm
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Enabling Low-Cost Secure Computing on Untrusted In-Memory Architectures
challenge, this paper leverages multi-party computation (MPC) techniques, specifically arithmetic secret ...admin - October 30, 2025 - 2:52 pm
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Distributional Private Information Retrieval
Ryan Lehmkuhl, Alexandra Henzinger, and Henry Corrigan-Gibbs, MIT A private-information-retrieval (PIR) scheme lets a client fetch a record from a remote database without revealing which record it fetched. Classic PIR schemes treat all database records th ...admin - October 13, 2025 - 6:56 pm
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A limited technical background is sufficient for attack-defense tree acceptability
Nathan Daniel Schiele and Olga Gadyatskaya, Leiden University Attack-defense trees (ADTs) are a prominent graphical threat modeling method that is highly recommended for analyzing and communicating security-related information. Despite this, existing empi ...admin - October 13, 2025 - 6:12 pm
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Serverless Functions Made Confidential and Efficient with Split Containers
confidential serverless. This paper explores confidential virtual machines (CVMs), a promising hardware ...admin - October 30, 2025 - 2:48 pm
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"I'm trying to learn…and I'm shooting myself in the foot": Beginners' Struggles When Solving Binary Exploitation Exercises
James Mattei, Christopher Pellegrini, and Matthew Soto, Tufts University; Marina Sanusi Bohuk, MetaCTF; Daniel Votipka, Tufts University Vulnerability discovery is an essential security skill that is often daunting for beginners. Although there are variou ...admin - October 13, 2025 - 6:18 pm
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RangeSanitizer: Detecting Memory Errors with Efficient Range Checks
paper, we introduce RangeSanitizer (RSan), a redzone-based sanitizer that introduces a novel metadata and ...admin - October 13, 2025 - 7:03 pm
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Efficient Ranking, Order Statistics, and Sorting under CKKS
paper, we address the challenge of reducing the comparison depth by shifting away from the swap-based ...admin - October 30, 2025 - 2:48 pm
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PICACHV: Formally Verified Data Use Policy Enforcement for Secure Data Analytics
Haobin Hiroki Chen and Hongbo Chen, Indiana University Bloomington; Mingshen Sun, Independent Researcher; Chenghong Wang, Indiana University Bloomington; XiaoFeng Wang, Nanyang Technological University Ensuring the proper use of sensitive data in analytic ...admin - October 13, 2025 - 7:07 pm
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TLBlur: Compiler-Assisted Automated Hardening against Controlled Channels on Off-the-Shelf Intel SGX Platforms
and hypothetical hardware extensions. This paper introduces TLBlur, a novel approach that leverages ...admin - October 13, 2025 - 4:44 pm
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Nothing is Unreachable: Automated Synthesis of Robust Code-Reuse Gadget Chains for Arbitrary Exploitation Primitives
requirements of existing approaches – e.g. controlling the stack. This paper presents a new approach to ...admin - October 13, 2025 - 4:38 pm
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BLens: Contrastive Captioning of Binary Functions using Ensemble Embedding
training set. In this paper, we take a completely new approach by transferring advances in automated image ...admin - October 30, 2025 - 2:41 pm
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JBShield: Defending Large Language Models from Jailbreak Attacks through Activated Concept Analysis and Manipulation
Shenyi Zhang and Yuchen Zhai, Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, School of Cyber Science and Engineering, Wuhan University; Keyan Guo and Hongxin Hu, University at Buffalo; Shengnan Guo, Zheng Fa ...admin - October 14, 2025 - 3:19 pm
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When Good Kernel Defenses Go Bad: Reliable and Stable Kernel Exploits via Defense-Amplified TLB Side-Channel Leaks
limits or prevents exploitation. In this paper, we show that we can exploit side-channel leakage in ...admin - October 14, 2025 - 3:09 pm
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Phantom Trails: Practical Pre-Silicon Discovery of Transient Data Leaks
their root cause — similarly to sanitizers in software. In this paper, we propose Phantom Trails, an ...admin - October 13, 2025 - 6:13 pm
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Revisiting Training-Inference Trigger Intensity in Backdoor Attacks
triggers is optimal. In this paper, for the first time, we systematically explore the training-inference ...admin - October 14, 2025 - 2:53 pm