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USENIX12d
MAGIC: Detecting Advanced Persistent Threats via Masked Graph Representation Learning
Advance Persistent Threats (APTs), adopted by most delicate attackers, are becoming increasing common and pose great threat to various enterprises and institutions. Data provenance analysis on ...
USENIX12d
An Input-Agnostic Hierarchical Deep Learning Framework for Traffic Fingerprinting - USENIX
Deep learning has proven to be promising for traffic fingerprinting that explores features of packet timing and sizes. Although well-known for automatic feature extraction, it is faced with a gap ...
USENIX12d
SoK: Inaccessible & Insecure: An Exposition of Authentication Challenges Faced by Blind and Visually Impaired Users in State-of-the-Art Academic Proposals | USENIX
Md Mojibur Rahman Redoy Akanda, Amanda Lacy, and Nitesh Saxena, Texas A&M University, College Station ...
USENIX12d
PrivacyXray: Detecting Privacy Breaches in LLMs through Semantic Consistency and Probability Certainty | USENIX
Jinwen He, Yiyang Lu, Zijin Lin, Kai Chen, and Yue Zhao, Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China ...
USENIX12d
I Know What You Said: Unveiling Hardware Cache Side-Channels in Local Large Language Model Inference | USENIX
Zibo Gao, Junjie Hu, Feng Guo, Yixin Zhang, Yinglong Han, Siyuan Liu, Haiyang Li, and Zhiqiang Lv, Institute of Information Engineering, Chinese Academy of Sciences. School of Cyber Security, ...
USENIX12d
LEMIX: Enabling Testing of Embedded Applications as Linux Applications | USENIX
Sai Ritvik Tanksalkar, Siddharth Muralee, Datta manikanta sri hari Danduri, Paschal Amusuo, Antonio Bianchi, James C Davis, and Aravind Machiry, Purdue University ...
USENIX12d
BLuEMan: A Stateful Simulation-based Fuzzing Framework for Open-Source RTOS Bluetooth Low Energy Protocol Stacks | USENIX
Wei-Che Kao, Yen-Chia Chen, Yu-Sheng Lin, Yu-Cheng Yang, Chi-Yu Li, and Chun-Ying Huang, National Yang Ming Chiao Tung University ...
USENIX5d
Port Design
Each shadow port is associated with a cluster of normal ports. Since its power consumption is the same as that of a normal port, savings can be achieved if atleast two of the normal ports in a cluster ...
USENIX12d
"I Cannot Write This Because It Violates Our Content Policy'': Understanding Content Moderation Policies and User Experiences in Generative AI Products | USENIX
Lan Gao, Oscar Chen, Rachel Lee, Nick Feamster, Chenhao Tan, and Marshini Chetty, University of Chicago ...
USENIX12d
Neural Invisibility Cloak: Concealing Adversary in Images via Compromised AI-driven Image Signal Processing | USENIX
Wenjun Zhu, Xiaoyu Ji, Xinfeng Li, Qihang Chen, Kun Wang, Xinyu Li, Ruoyan Xu, and Wenyuan Xu, Zhejiang University ...
USENIX12d
A Tale of Two Worlds, a Formal Story of WireGuard Hybridization
Pascal Lafourcade and Dhekra Mahmoud, Université Clermont Auvergne, CNRS, Clermont Auvergne INP, Mines Saint-Etienne, LIMOS, 63000 Clermont-Ferrand, France; Sylvain Ruhault and Abdul Rahman Taleb, ...
USENIX12d
Understanding How Users Prepare for and React to Smartphone Theft
Divyanshu Bhardwaj and Sumair Ijaz Hashmi, CISPA Helmholtz Center for Information Security, Saarland University; Katharina Krombholz and Maximilian Golla, CISPA Helmholtz Center for Information ...