2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CV2026
NutVLM: A Self-Adaptive Defense Framework against Full-Dimension Attacks for Vision Language Models in Autonomous Driving
Xiaoxu Peng, Dong Zhou, Jianwen Zhang +3
Vision Language Models (VLMs) have advanced perception in autonomous driving (AD), but they remain vulnerable to adversarial threats. These risks range from localized physical patc…
eess.IV2023★ 2 cited
MAD: Meta Adversarial Defense Benchmark
X. Peng, D. Zhou, G. Sun +2
Adversarial training (AT) is a prominent technique employed by deep learning models to defend against adversarial attacks, and to some extent, enhance model robustness. However, th…