2 papers
cs.AI2025
Bridging Models to Defend: A Population-Based Strategy for Robust Adversarial Defense
Ren Wang, Yuxuan Li, Can Chen +6
Adversarial robustness is a critical measure of a neural network's ability to withstand adversarial attacks at inference time. While robust training techniques have improved defens…
cs.CR2025
Defending against Backdoor Attack on Deep Neural Networks
Hao Cheng, Kaidi Xu, Sijia Liu +3
Although deep neural networks (DNNs) have achieved a great success in various computer vision tasks, it is recently found that they are vulnerable to adversarial attacks. In this p…