activity
20182025
most citedSTRIP: A Defence Against Trojan Attacks on Deep Neural Networks

88 citations · 151 across the 11 of their papers we have counts for

collaborators

12 papers

cs.LG2025

Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization

Zihan Wang, Zhiyong Ma, Zhongkui Ma +5

Recent AI regulations increasingly emphasize the need for mechanisms that preserve the utility of data for AI innovation while preventing misuse, particularly by enforcing purpose…

cs.CV2024

Query-Efficient Video Adversarial Attack with Stylized Logo on Service Computing

Duoxun Tang, Yuxin Cao, Xi Xiao +3

In service computing, video classification has become fundamental to many intelligent applications. While Deep Neural Networks (DNNs) have demonstrated excellent performance in rec…

cs.CR2024

Optimizing Cyber Defense in Dynamic Active Directories through Reinforcement Learning

Diksha Goel, Kristen Moore, Mingyu Guo +3

This paper addresses a significant gap in Autonomous Cyber Operations (ACO) literature: the absence of effective edge-blocking ACO strategies in dynamic, real-world networks. It sp…

cs.LG2024

Effects of Exponential Gaussian Distribution on (Double Sampling) Randomized Smoothing

Youwei Shu, Xi Xiao, Derui Wang +5

Randomized Smoothing (RS) is currently a scalable certified defense method providing robustness certification against adversarial examples. Although significant progress has been a…

cs.LG2024

Provably Unlearnable Data Examples

Derui Wang, Minhui Xue, Bo Li +2

The exploitation of publicly accessible data has led to escalating concerns regarding data privacy and intellectual property (IP) breaches in the age of artificial intelligence. To…

cs.CR2022★ 2 cited

The "Beatrix'' Resurrections: Robust Backdoor Detection via Gram Matrices

Wanlun Ma, Derui Wang, Ruoxi Sun +3

Deep Neural Networks (DNNs) are susceptible to backdoor attacks during training. The model corrupted in this way functions normally, but when triggered by certain patterns in the i…