Akhilan Boopathy
Akhilan Boopathy
Verified email at mit.edu
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Cited by
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Year
Cnn-cert: An efficient framework for certifying robustness of convolutional neural networks
A Boopathy, TW Weng, PY Chen, S Liu, L Daniel
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 3240-3247, 2019
632019
PROVEN: Verifying robustness of neural networks with a probabilistic approach
L Weng, PY Chen, L Nguyen, M Squillante, A Boopathy, I Oseledets, ...
International Conference on Machine Learning, 6727-6736, 2019
302019
Proper Network Interpretability Helps Adversarial Robustness in Classification
A Boopathy, S Liu, G Zhang, C Liu, PY Chen, S Chang, L Daniel
International Conference on Machine Learning, 1014-1023, 2020
42020
Fast Training of Provably Robust Neural Networks by SingleProp
A Boopathy, TW Weng, S Liu, PY Chen, G Zhang, L Daniel
arXiv preprint arXiv:2102.01208, 2021
12021
Framework for certifying a lower bound on a robustness level of convolutional neural networks
PY Chen, S Liu, A Boopathy, T Weng, L Daniel
US Patent App. 16/256,267, 2020
12020
Visual Interpretability Alone Helps Adversarial Robustness
A Boopathy, S Liu, G Zhang, PY Chen, S Chang, L Daniel
2019
Efficient Training of Robust and Verifiable Neural Networks
A Boopathy, L Weng, S Liu, PY Chen, L Daniel
2019
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