2 citations · 2 across the 7 of their papers we have counts for
7 papers
Chameleon: Robust Defense Against Tor Website Fingerprinting via Many-to-Many Traffic Morphing
Yuwen Cui, Kai Wei, Kehan Shen +4
Website fingerprinting (WF) attacks can infer users' browsing activities from encrypted Tor traffic by exploiting side-channel features. Although many WF defenses have been propose…
When to Use Wireless Challenge-Response Physical Layer Authentication: Design of a Measurable Guideline for OFDM
Haiyun Liu, Shangqing Zhao, Yao Liu +1
The security of wireless challenge-response Physical Layer Authentication (PLA) based on Orthogonal Frequency Division Multiplexing (OFDM) relies on a sufficiently random fading ch…
Adversarial Update-Based Federated Unlearning for Poisoned Model Recovery
Wenwei Zhao, Xiaowen Li, Yao Liu +1
Federated learning (FL) is vulnerable to poisoning attacks, where malicious clients upload manipulated updates to degrade the performance of the global model. Although detection me…
Hybrid Hierarchical Federated Learning over 5G/NextG Wireless Networking
Haiyun Liu, Jiahao Xue, Jie Xu +2
Today's 5G and NextG wireless networks are moving toward using the coordinated multi-point (CoMP) transmission and reception technique, where a client can be simultaneously served…
A Comprehensive Survey of Website Fingerprinting Attacks and Defenses in Tor: Advances and Open Challenges
Yuwen Cui, Guangjing Wang, Khanh Vu +7
The Tor network provides users with strong anonymity by routing their internet traffic through multiple relays. While Tor encrypts traffic and hides IP addresses, it remains vulner…
Detecting Adversarial Spectrum Attacks via Distance to Decision Boundary Statistics
Wenwei Zhao, Xiaowen Li, Shangqing Zhao +3
Machine learning has been adopted for efficient cooperative spectrum sensing. However, it incurs an additional security risk due to attacks leveraging adversarial machine learning…
Parrot-Trained Adversarial Examples: Pushing the Practicality of Black-Box Audio Attacks against Speaker Recognition Models
Rui Duan, Zhe Qu, Leah Ding +2
Audio adversarial examples (AEs) have posed significant security challenges to real-world speaker recognition systems. Most black-box attacks still require certain information from…