News

USENIX13d
Devil in the Room: Triggering Audio Backdoors in the Physical World - USENIX
Recent years have witnessed deep learning techniques endowing modern audio systems with powerful capabilities. However, the latest studies have revealed its strong reliance on training data, raising ...
USENIX8d
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 ...
USENIX8d
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 ...
USENIX8d
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, ...
USENIX8d
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 ...
USENIX8d
SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark | USENIX
Rui Wen, Institute of Science Tokyo; Yiyiong Liu, Michael Backes, and Yang Zhang, CISPA Helmholtz Center for Information Security ...
USENIX8d
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 ...
USENIX8d
Exploring User Security and Privacy Attitudes and Concerns Toward the Use of General-Purpose LLM Chatbots for Mental Health | USENIX
Attend Registration Information Registration Discounts Grant Opportunities Venue, Hotel, and Travel Schedule Technical Sessions Cycle 1 Accepted Papers Participate Call for Papers Submission Policies ...
USENIX8d
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 ...
USENIX8d
"It's not my responsibility to write them": An Empirical Study of Software Product Managers and Security Requirements | USENIX
Houda Naji, Felix Reichmann, Tobias Bruns, and M. Angela Sasse, Ruhr University Bochum; Alena Naiakshina, University of Cologne ...
USENIX8d
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 ...
USENIX8d
Aion: Robust and Efficient Multi-Round Single-Mask Secure Aggregation Against Malicious Participants | USENIX
Yizhong Liu, Zixiao Jia, Zian Jin, Xiao Chen, Song Bian, Runhua Xu, Dawei Li, and Jianwei Liu, Beihang University; Yuan Lu, Institute of Software Chinese Academy of Sciences ...