Fastened CROWN: Tightened Neural Network Robustness Certificates
<jats:p>The rapid growth of deep learning applications in real life is accompanied by severe safety concerns. To mitigate this uneasy phenomenon, much research has been done providing reliable evaluations of the fragility level in different deep neural networks. Apart from devising adversarial...
Main Authors: | Lyu, Zhaoyang, Ko, Ching-Yun, Kong, Zhifeng, Wong, Ngai, Lin, Dahua, Daniel, Luca |
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Other Authors: | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science |
Format: | Article |
Language: | English |
Published: |
Association for the Advancement of Artificial Intelligence (AAAI)
2022
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Online Access: | https://hdl.handle.net/1721.1/143106 |
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