Investigating the Role of Biological Constraints in Adversarial Robustness via Modeling and Representational Geometry
Although deep neural networks (DNNs) achieve excellent performance and even outperform humans on various computer vision tasks, the robustness of DNNs to small perturbations is still far from being comparable to the human visual system. Indeed, adversarial attacks, which are very small worst-case pe...
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Format: | Thesis |
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Massachusetts Institute of Technology
2022
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Online Access: | https://hdl.handle.net/1721.1/139227 |