1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.LG2023★ 1 cited
A Survey of Robustness and Safety of 2D and 3D Deep Learning Models Against Adversarial Attacks
Yanjie Li, Bin Xie, Songtao Guo +2
Benefiting from the rapid development of deep learning, 2D and 3D computer vision applications are deployed in many safe-critical systems, such as autopilot and identity authentica…
cs.CV2023
Generating Transferable and Stealthy Adversarial Patch via Attention-guided Adversarial Inpainting
Yanjie Li, Mingxing Duan, Xuelong Dai +1
Adversarial patch attacks can fool the face recognition (FR) models via small patches. However, previous adversarial patch attacks often result in unnatural patterns that are easil…
cs.LG2023
AdvDiff: Generating Unrestricted Adversarial Examples using Diffusion Models
Xuelong Dai, Kaisheng Liang, Bin Xiao
Unrestricted adversarial attacks present a serious threat to deep learning models and adversarial defense techniques. They pose severe security problems for deep learning applicati…