Dimitris Tsipras
Dimitris Tsipras
Verified email at mit.edu - Homepage
Title
Cited by
Cited by
Year
Towards Deep Learning Models Resistant to Adversarial Attacks
A Madry, A Makelov, L Schmidt, D Tsipras, A Vladu
arXiv preprint arXiv:1706.06083, 2017
28962017
How Does Batch Normalization Help Optimization?
S Santurkar, D Tsipras, A Ilyas, A Madry
5792018
Robustness may be at odds with accuracy
D Tsipras, S Santurkar, L Engstrom, A Turner, A Madry
arXiv preprint arXiv:1805.12152, 2018
521*2018
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, 125-136, 2019
4522019
Adversarially robust generalization requires more data
L Schmidt, S Santurkar, D Tsipras, K Talwar, A Madry
Advances in Neural Information Processing Systems, 5014-5026, 2018
3152018
Exploring the Landscape of Spatial Robustness
L Engstrom, B Tran, D Tsipras, L Schmidt, A Madry
International Conference on Machine Learning, 1802-1811, 2019
308*2019
On Evaluating Adversarial Robustness
N Carlini, A Athalye, N Papernot, W Brendel, J Rauber, D Tsipras, ...
arXiv preprint arXiv:1902.06705, 2019
2712019
Matrix Scaling and Balancing via Box Constrained Newton's Method and Interior Point Methods
MB Cohen, A Madry, D Tsipras, A Vladu
Foundations of Computer Science (FOCS), 2017 IEEE 58th Annual Symposium oná…, 2017
672017
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, 1260-1271, 2019
55*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
55*2018
Adversarial robustness as a prior for learned representations
L Engstrom, A Ilyas, S Santurkar, D Tsipras, B Tran, A Madry
arXiv preprint arXiv:1906.00945, 2019
53*2019
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
50*2019
Label-Consistent Backdoor Attacks
A Turner, D Tsipras, A Madry
arXiv preprint arXiv:1912.02771, 2019
40*2019
Robustness (python library), 2019
L Engstrom, A Ilyas, S Santurkar, D Tsipras
URL https://github. com/MadryLab/robustness, 0
28
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
132020
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
122019
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
72020
Efficient Money Burning in General Domains
D Fotakis, D Tsipras, C Tzamos, E Zampetakis
Theory of Computing Systems 59 (4), 619-640, 2016
32016
BREEDS: Benchmarks for Subpopulation Shift
S Santurkar, D Tsipras, A Madry
arXiv preprint arXiv:2008.04859, 2020
22020
Data Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses
M Goldblum, D Tsipras, C Xie, X Chen, A Schwarzschild, D Song, ...
arXiv preprint arXiv:2012.10544, 2020
12020
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