Anomaly detection based on a dynamic Markov model. - Huorong Ren; Zhixing Ye; Zhiwu Li 001 (Inf. Sci., 2017)

Going Far Boosts Attack Transferability, but Do Not Do It. - Sizhe Chen; Qinghua Tao; Zhixing Ye; Xiaolin Huang (CoRR, 2021)

Dominant Patterns: Critical Features Hidden in Deep Neural Networks. - Zhixing Ye; Shaofei Qin; Sizhe Chen; Xiaolin Huang (CoRR, 2021)

Measuring the Transferability of ℓ∞ Attacks by the ℓ2 Norm. - Sizhe Chen; Qinghua Tao; Zhixing Ye; Xiaolin Huang (ICASSP, 2023)

Consensus-Based Distributed Kernel One-class Support Vector Machine for Anomaly Detection. - Tianyao Wang; Fan He; Ruikai Yang; Zhixing Ye; Xiaolin Huang (IJCNN, 2023)

FG-UAP: Feature-Gathering Universal Adversarial Perturbation. - Zhixing Ye; Xinwen Cheng; Xiaolin Huang (IJCNN, 2023)