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Eric Wong
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Provable defenses against adversarial examples via the convex outer adversarial polytope
E Wong, JZ Kolter
arXiv preprint arXiv:1711.00851, 2017
12522017
Provable defenses against adversarial examples via the convex outer adversarial polytope
E Wong, J Zico Kolter
arXiv preprint arXiv:1711.00851, 2017
12522017
Fast is better than free: Revisiting adversarial training
E Wong, L Rice, JZ Kolter
arXiv preprint arXiv:2001.03994, 2020
7272020
Overfitting in adversarially robust deep learning
L Rice, E Wong, Z Kolter
International Conference on Machine Learning, 8093-8104, 2020
4502020
Scaling provable adversarial defenses
E Wong, F Schmidt, JH Metzen, JZ Kolter
Advances in Neural Information Processing Systems, 8400-8409, 2018
3842018
Wasserstein adversarial examples via projected sinkhorn iterations
E Wong, F Schmidt, Z Kolter
International Conference on Machine Learning, 6808-6817, 2019
1722019
Adversarial robustness against the union of multiple perturbation models
P Maini, E Wong, Z Kolter
International Conference on Machine Learning, 6640-6650, 2020
1012020
Learning perturbation sets for robust machine learning
E Wong, JZ Kolter
arXiv preprint arXiv:2007.08450, 2020
512020
Leveraging sparse linear layers for debuggable deep networks
E Wong, S Santurkar, A Madry
International Conference on Machine Learning, 11205-11216, 2021
382021
A semismooth Newton method for fast, generic convex programming
A Ali, E Wong, JZ Kolter
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
242017
Certified patch robustness via smoothed vision transformers
H Salman, S Jain, E Wong, A Madry
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
202022
How many random restarts are enough?
T Dick, E Wong, C Dann
Google Scholar, 2014
122014
Missingness Bias in Model Debugging
S Jain, H Salman, E Wong, P Zhang, V Vineet, S Vemprala, A Madry
International Conference on Learning Representations, 2021
82021
Deepsplit: Scalable verification of deep neural networks via operator splitting
S Chen, E Wong, JZ Kolter, M Fazlyab
IEEE Open Journal of Control Systems 1, 126-140, 2022
72022
Neural network virtual sensors for fuel injection quantities with provable performance specifications
E Wong, T Schneider, J Schmitt, FR Schmidt, JZ Kolter
2020 IEEE Intelligent Vehicles Symposium (IV), 1753-1758, 2020
62020
A Data-Based Perspective on Transfer Learning
S Jain, H Salman, A Khaddaj, E Wong, SM Park, A Madry
arXiv preprint arXiv:2207.05739, 2022
42022
When does Bias Transfer in Transfer Learning?
H Salman, S Jain, A Ilyas, L Engstrom, E Wong, A Madry
arXiv preprint arXiv:2207.02842, 2022
32022
Neural network inversion beyond gradient descent
E Wong, JZ Kolter
Advances in Neural Information Processing Systems, Workshop on Optimization …, 2017
22017
An SVD and derivative kernel approach to learning from geometric data
E Wong, JZ Kolter
Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
22015
New Frontiers in Adversarial Machine Learning
S Liu, PY Chen, D Zhu, E Wong, K Grosse, H Lakkaraju, S Koyejo
International Conference on Machine Learning, 2022
2022
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Articles 1–20