activity
20172025
most citedAutomated Poisoning Attacks and Defenses in Malware Detection Systems: An Adversarial Machine Learning Approach

9 citations · 19 across the 4 of their papers we have counts for

collaborators

8 papers

cs.CR2025

Your Microphone Array Retains Your Identity: A Robust Voice Liveness Detection System for Smart Speakers

Yan Meng, Jiachun Li, Matthew Pillari +5

Though playing an essential role in smart home systems, smart speakers are vulnerable to voice spoofing attacks. Passive liveness detection, which utilizes only the collected audio…

cs.CR20223 cited

Fingerprinting Deep Neural Networks Globally via Universal Adversarial Perturbations

Zirui Peng, Shaofeng Li, Guoxing Chen +3

In this paper, we propose a novel and practical mechanism which enables the service provider to verify whether a suspect model is stolen from the victim model via model extraction…

cs.CR2021

Dissecting Click Fraud Autonomy in the Wild

Tong Zhu, Yan Meng, Haotian Hu +3

Although the use of pay-per-click mechanisms stimulates the prosperity of the mobile advertisement network, fraudulent ad clicks result in huge financial losses for advertisers. Ex…

cs.CL2021

Hidden Backdoors in Human-Centric Language Models

Shaofeng Li, Hui Liu, Tian Dong +4

Natural language processing (NLP) systems have been proven to be vulnerable to backdoor attacks, whereby hidden features (backdoors) are trained into a language model and may only…

cs.CR2019

Invisible Backdoor Attacks on Deep Neural Networks via Steganography and Regularization

Shaofeng Li, Minhui Xue, Benjamin Zi Hao Zhao +2

Deep neural networks (DNNs) have been proven vulnerable to backdoor attacks, where hidden features (patterns) trained to a normal model, which is only activated by some specific in…

cs.CR2018

Differentially Private Data Generative Models

Qingrong Chen, Chong Xiang, Minhui Xue +4

Deep neural networks (DNNs) have recently been widely adopted in various applications, and such success is largely due to a combination of algorithmic breakthroughs, computation re…