Robust Computer Vision beyond Lₚ Adversaries
Deep learning computer vision systems, integral to technologies such as self-driving cars, facial recognition, and content moderation, require robustness against diverse perturbations to ensure reliability and safety. Examples of such perturbations include variations in lighting conditions, occlusio...
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Massachusetts Institute of Technology
2024
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| Online Access: | https://hdl.handle.net/1721.1/156330 https://orcid.org/0009-0000-2681-9848 |