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most citedVulseye: Detect Smart Contract Vulnerabilities via Stateful Directed Graybox Fuzzing

7 citations · 12 across the 10 of their papers we have counts for

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6 papers · 1 filter

cs.CR2025

CSI2Dig: Recovering Digit Content from Smartphone Loudspeakers Using Channel State Information

Yangyang Gu, Xianglong Li, Haolin Wu +4

Eavesdropping on sounds emitted by mobile device loudspeakers can capture sensitive digital information, such as SMS verification codes, credit card numbers, and withdrawal passwor…

cs.CR20251 cited

WAFBOOSTER: Automatic Boosting of WAF Security Against Mutated Malicious Payloads

Cong Wu, Jing Chen, Simeng Zhu +3

Web application firewall (WAF) examines malicious traffic to and from a web application via a set of security rules. It plays a significant role in securing Web applications agains…

cs.CR20251 cited

Rethinking Membership Inference Attacks Against Transfer Learning

Cong Wu, Jing Chen, Qianru Fang +6

Transfer learning, successful in knowledge translation across related tasks, faces a substantial privacy threat from membership inference attacks (MIAs). These attacks, despite pos…

cs.CR2024

Semantic Sleuth: Identifying Ponzi Contracts via Large Language Models

Cong Wu, Jing Chen, Ziwei Wang +2

Smart contracts, self-executing agreements directly encoded in code, are fundamental to blockchain technology, especially in decentralized finance (DeFi) and Web3. However, the ris…

cs.CR2024

Sok: Comprehensive Security Overview, Challenges, and Future Directions of Voice-Controlled Systems

Haozhe Xu, Cong Wu, Yangyang Gu +4

The integration of Voice Control Systems (VCS) into smart devices and their growing presence in daily life accentuate the importance of their security. Current research has uncover…

cs.CR20241 cited

CLAD: Robust Audio Deepfake Detection Against Manipulation Attacks with Contrastive Learning

Haolin Wu, Jing Chen, Ruiying Du +5

The increasing prevalence of audio deepfakes poses significant security threats, necessitating robust detection methods. While existing detection systems exhibit promise, their rob…