115 citations · 281 across the 27 of their papers we have counts for
6 papers · 1 filter
SEC4SR: A Security Analysis Platform for Speaker Recognition
Guangke Chen, Zhe Zhao, Fu Song +3
Adversarial attacks have been expanded to speaker recognition (SR). However, existing attacks are often assessed using different SR models, recognition tasks and datasets, and only…
Advanced Evasion Attacks and Mitigations on Practical ML-Based Phishing Website Classifiers
Yusi Lei, Sen Chen, Lingling Fan +2
Machine learning (ML) based approaches have been the mainstream solution for anti-phishing detection. When they are deployed on the client-side, ML-based classifiers are vulnerable…
Why an Android App is Classified as Malware? Towards Malware Classification Interpretation
Bozhi Wu, Sen Chen, Cuiyun Gao +4
Machine learning (ML) based approach is considered as one of the most promising techniques for Android malware detection and has achieved high accuracy by leveraging commonly-used…
A Large-Scale Empirical Study on Industrial Fake Apps
Chongbin Tang, Sen Chen, Lingling Fan +4
While there have been various studies towards Android apps and their development, there is limited discussion of the broader class of apps that fall in the fake area. Fake apps and…
An Empirical Assessment of Security Risks of Global Android Banking Apps
Sen Chen, Lingling Fan, Guozhu Meng +5
Mobile banking apps, belonging to the most security-critical app category, render massive and dynamic transactions susceptible to security risks. Given huge potential financial los…
Automated Poisoning Attacks and Defenses in Malware Detection Systems: An Adversarial Machine Learning Approach
Sen Chen, Minhui Xue, Lingling Fan +4
The evolution of mobile malware poses a serious threat to smartphone security. Today, sophisticated attackers can adapt by maximally sabotaging machine-learning classifiers via pol…