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cs.CV2024
Evaluating the Adversarial Robustness of Detection Transformers
Amirhossein Nazeri, Chunheng Zhao, Pierluigi Pisu
Robust object detection is critical for autonomous driving and mobile robotics, where accurate detection of vehicles, pedestrians, and obstacles is essential for ensuring safety. D…
cs.CV2024
Causal Interpretability for Adversarial Robustness: A Hybrid Generative Classification Approach
Chunheng Zhao, Pierluigi Pisu, Gurcan Comert +3
Deep learning-based discriminative classifiers, despite their remarkable success, remain vulnerable to adversarial examples that can mislead model predictions. While adversarial tr…