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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
19952018
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
18552019
Robustness may be at odds with accuracy
D Tsipras, S Santurkar, L Engstrom, A Turner, A Madry
arXiv preprint arXiv:1805.12152, 2018
18232018
Adversarially robust generalization requires more data
L Schmidt, S Santurkar, D Tsipras, K Talwar, A Madry
Advances in neural information processing systems 31, 2018
8052018
Gpt-4 technical report
J Achiam, S Adler, S Agarwal, L Ahmad, I Akkaya, FL Aleman, D Almeida, ...
arXiv preprint arXiv:2303.08774, 2023
6632023
Holistic evaluation of language models
P Liang, R Bommasani, T Lee, D Tsipras, D Soylu, M Yasunaga, Y Zhang, ...
arXiv preprint arXiv:2211.09110, 2022
5942022
Implementation matters in deep policy gradients: A case study on ppo and trpo
L Engstrom, A Ilyas, S Santurkar, D Tsipras, F Janoos, L Rudolph, ...
arXiv preprint arXiv:2005.12729, 2020
3232020
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
238*2019
Generative compression
S Santurkar, D Budden, N Shavit
2018 Picture Coding Symposium (PCS), 258-262, 2018
2382018
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
213*2019
Robustness (python library), 2019
L Engstrom, A Ilyas, H Salman, S Santurkar, D Tsipras
URL https://github. com/MadryLab/robustness 4 (4), 4.3, 2019
1972019
Breeds: Benchmarks for subpopulation shift
S Santurkar, D Tsipras, A Madry
arXiv preprint arXiv:2008.04859, 2020
1532020
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
1462020
Whose opinions do language models reflect?
S Santurkar, E Durmus, F Ladhak, C Lee, P Liang, T Hashimoto
International Conference on Machine Learning, 29971-30004, 2023
1332023
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
130*2018
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
1182019
A classification-based study of covariate shift in gan distributions
S Santurkar, L Schmidt, A Madry
International Conference on Machine Learning, 4480-4489, 2018
88*2018
Leveraging sparse linear layers for debuggable deep networks
E Wong, S Santurkar, A Madry
International Conference on Machine Learning, 11205-11216, 2021
782021
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
602021
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
552020
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