5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.CV2023
Exploring the Physical World Adversarial Robustness of Vehicle Detection
Wei Jiang, Tianyuan Zhang, Shuangcheng Liu +3
Adversarial attacks can compromise the robustness of real-world detection models. However, evaluating these models under real-world conditions poses challenges due to resource-inte…
cs.CV2021★ 5 cited
A Comprehensive Evaluation Framework for Deep Model Robustness
Jun Guo, Wei Bao, Jiakai Wang +7
Deep neural networks (DNNs) have achieved remarkable performance across a wide range of applications, while they are vulnerable to adversarial examples, which motivates the evaluat…