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USENIX9d
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 ...
USENIX9d
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 ...
USENIX2d
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 ...
USENIX9d
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, ...
USENIX9d
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 ...
USENIX9d
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 ...
USENIX9d
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 ...
USENIX9d
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 ...
USENIX9d
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 ...
USENIX9d
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 ...
USENIX9d
"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 ...
USENIX9d
Exploring User Security and Privacy Attitudes and Concerns Toward the Use of General-Purpose LLM Chatbots for Mental Health | USENIX
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