116 citations · 228 across the 10 of their papers we have counts for
10 papers
Making DeepFakes more spurious: evading deep face forgery detection via trace removal attack
Chi Liu, Huajie Chen, Tianqing Zhu +2
DeepFakes are raising significant social concerns. Although various DeepFake detectors have been developed as forensic countermeasures, these detectors are still vulnerable to atta…
Video is All You Need: Attacking PPG-based Biometric Authentication
Lin Li, Chao Chen, Lei Pan +2
Unobservable physiological signals enhance biometric authentication systems. Photoplethysmography (PPG) signals are convenient owning to its ease of measurement and are usually wel…
FAAG: Fast Adversarial Audio Generation through Interactive Attack Optimisation
Yuantian Miao, Chao Chen, Lei Pan +2
Automatic Speech Recognition services (ASRs) inherit deep neural networks' vulnerabilities like crafted adversarial examples. Existing methods often suffer from low efficiency beca…
A Survey of PPG's Application in Authentication
Lin Li, Chao Chen, Lei Pan +4
Biometric authentication prospered because of its convenient use and security. Early generations of biometric mechanisms suffer from spoofing attacks. Recently, unobservable physio…
Information flow based defensive chain for data leakage detection and prevention: a survey
Ning Xi, Chao Chen, Jun Zhang +4
Mobile and IoT applications have greatly enriched our daily life by providing convenient and intelligent services. However, these smart applications have been a prime target of adv…
Privacy Inference Attacks and Defenses in Cloud-based Deep Neural Network: A Survey
Xiaoyu Zhang, Chao Chen, Yi Xie +3
Deep Neural Network (DNN), one of the most powerful machine learning algorithms, is increasingly leveraged to overcome the bottleneck of effectively exploring and analyzing massive…
Machine Learning Based Cyber Attacks Targeting on Controlled Information: A Survey
Yuantian Miao, Chao Chen, Lei Pan +3
Stealing attack against controlled information, along with the increasing number of information leakage incidents, has become an emerging cyber security threat in recent years. Due…
DeFuzz: Deep Learning Guided Directed Fuzzing
Xiaogang Zhu, Shigang Liu, Xian Li +4
Fuzzing is one of the most effective technique to identify potential software vulnerabilities. Most of the fuzzers aim to improve the code coverage, and there is lack of directedne…
Android HIV: A Study of Repackaging Malware for Evading Machine-Learning Detection
Xiao Chen, Chaoran Li, Derui Wang +5
Machine learning based solutions have been successfully employed for automatic detection of malware on Android. However, machine learning models lack robustness to adversarial exam…
Automated Big Traffic Analytics for Cyber Security
Yuantian Miao, Zichan Ruan, Lei Pan +3
Network traffic analytics technology is a cornerstone for cyber security systems. We demonstrate its use through three popular and contemporary cyber security applications in intru…