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Shibani Santurkar
Shibani Santurkar
Verified email at stanford.edu - Homepage
Title
Cited by
Cited by
Year
How does batch normalization help optimization?
S Santurkar, D Tsipras, A Ilyas, A Madry
Advances in neural information processing systems 31, 2018
13692018
Robustness may be at odds with accuracy
D Tsipras, S Santurkar, L Engstrom, A Turner, A Madry
arXiv preprint arXiv:1805.12152, 2018
12382018
Adversarial examples are not bugs, they are features
A Ilyas, S Santurkar, D Tsipras, L Engstrom, B Tran, A Madry
Advances in neural information processing systems 32, 2019
12282019
Adversarially robust generalization requires more data
L Schmidt, S Santurkar, D Tsipras, K Talwar, A Madry
Advances in neural information processing systems 31, 2018
6062018
Implementation matters in deep rl: A case study on ppo and trpo
L Engstrom, A Ilyas, S Santurkar, D Tsipras, F Janoos, L Rudolph, ...
International conference on learning representations, 2019
211*2019
Generative compression
S Santurkar, D Budden, N Shavit
2018 Picture Coding Symposium (PCS), 258-262, 2018
1892018
Learning perceptually-aligned representations via adversarial robustness
L Engstrom, A Ilyas, S Santurkar, D Tsipras, B Tran, A Madry
arXiv preprint arXiv:1906.00945 2 (3), 5, 2019
159*2019
Image synthesis with a single (robust) classifier
S Santurkar, A Ilyas, D Tsipras, L Engstrom, B Tran, A Madry
Advances in Neural Information Processing Systems 32, 2019
146*2019
A closer look at deep policy gradients
A Ilyas, L Engstrom, S Santurkar, D Tsipras, F Janoos, L Rudolph, ...
arXiv preprint arXiv:1811.02553, 2018
97*2018
Robustness (python library), 2019
L Engstrom, A Ilyas, S Santurkar, D Tsipras
URL https://github. com/MadryLab/robustness 4 (4), 4.3, 0
86
From imagenet to image classification: Contextualizing progress on benchmarks
D Tsipras, S Santurkar, L Engstrom, A Ilyas, A Madry
International Conference on Machine Learning, 9625-9635, 2020
842020
A classification-based study of covariate shift in gan distributions
S Santurkar, L Schmidt, A Madry
International Conference on Machine Learning, 4480-4489, 2018
67*2018
Breeds: Benchmarks for subpopulation shift
S Santurkar, D Tsipras, A Madry
arXiv preprint arXiv:2008.04859, 2020
662020
Deep tensor convolution on multicores
D Budden, A Matveev, S Santurkar, SR Chaudhuri, N Shavit
Proceedings of the 34th International Conference on Machine Learning, 2017
422017
Identifying statistical bias in dataset replication
L Engstrom, A Ilyas, S Santurkar, D Tsipras, J Steinhardt, A Madry
International Conference on Machine Learning, 2922-2932, 2020
362020
Leveraging sparse linear layers for debuggable deep networks
E Wong, S Santurkar, A Madry
International Conference on Machine Learning, 11205-11216, 2021
342021
A Discussion of'Adversarial Examples Are Not Bugs, They Are Features': Discussion and Author Responses
L Engstrom, A Ilyas, A Madry, S Santurkar, B Tran, D Tsipras
Distill 4 (8), e00019. 7, 2019
212019
Editing a classifier by rewriting its prediction rules
S Santurkar, D Tsipras, M Elango, D Bau, A Torralba, A Madry
Advances in Neural Information Processing Systems 34, 23359-23373, 2021
202021
3db: A framework for debugging computer vision models
G Leclerc, H Salman, A Ilyas, S Vemprala, L Engstrom, V Vineet, K Xiao, ...
arXiv preprint arXiv:2106.03805, 2021
172021
C. elegans chemotaxis inspired neuromorphic circuit for contour tracking and obstacle avoidance
S Santurkar, B Rajendran
2015 International Joint Conference on Neural Networks (IJCNN), 1-8, 2015
14*2015
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Articles 1–20