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Logan Engstrom
Logan Engstrom
Verified email at mit.edu - Homepage
Title
Cited by
Cited by
Year
Synthesizing robust adversarial examples
A Athalye, L Engstrom, A Ilyas, K Kwok
arXiv preprint arXiv:1707.07397, 2017
13552017
Robustness may be at odds with accuracy
D Tsipras, S Santurkar, L Engstrom, A Turner, A Madry
arXiv preprint arXiv:1805.12152, 2018
12922018
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
12762019
Black-box adversarial attacks with limited queries and information
A Ilyas, L Engstrom, A Athalye, J Lin
International conference on machine learning, 2137-2146, 2018
8942018
A rotation and a translation suffice: Fooling cnns with simple transformations
L Engstrom, B Tran, D Tsipras, L Schmidt, A Madry
640*2017
Prior convictions: Black-box adversarial attacks with bandits and priors
A Ilyas, L Engstrom, A Madry
arXiv preprint arXiv:1807.07978, 2018
2762018
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
2382020
Do adversarially robust imagenet models transfer better?
H Salman, A Ilyas, L Engstrom, A Kapoor, A Madry
Advances in Neural Information Processing Systems 33, 3533-3545, 2020
2112020
Noise or signal: The role of image backgrounds in object recognition
K Xiao, L Engstrom, A Ilyas, A Madry
arXiv preprint arXiv:2006.09994, 2020
1802020
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
167*2019
Computer vision with a single (robust) classifier
S Santurkar, D Tsipras, B Tran, A Ilyas, L Engstrom, A Madry
arXiv preprint arXiv:1906.09453 4, 2019
153*2019
Evaluating and understanding the robustness of adversarial logit pairing
L Engstrom, A Ilyas, A Athalye
arXiv preprint arXiv:1807.10272, 2018
1202018
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
102*2018
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
962019
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
922020
Robustness (python library)
L Engstrom, A Ilyas, S Santurkar, D Tsipras
URL https://github. com/MadryLab/robustness, 2019
442019
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
382020
Fast Style Transfer
L Engstrom
https://github.com/lengstrom/fast-style-transfer/, 2016
29*2016
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
25*2019
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
222021
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