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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
12662017
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
11402019
Robustness may be at odds with accuracy
D Tsipras, S Santurkar, L Engstrom, A Turner, A Madry
arXiv preprint arXiv:1805.12152, 2018
11372018
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
8112018
A rotation and a translation suffice: Fooling cnns with simple transformations
L Engstrom, B Tran, D Tsipras, L Schmidt, A Madry
580*2018
Prior convictions: Black-box adversarial attacks with bandits and priors
A Ilyas, L Engstrom, A Madry
arXiv preprint arXiv:1807.07978, 2018
2472018
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
193*2019
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
1622020
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
151*2019
Computer Vision with a Single (Robust) Classifier.
S Santurkar, D Tsipras, B Tran, A Ilyas, L Engstrom, A Madry
139*2019
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
1342020
Evaluating and understanding the robustness of adversarial logit pairing
L Engstrom, A Ilyas, A Athalye
arXiv preprint arXiv:1807.10272, 2018
1142018
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
92*2018
Robustness (python library), 2019
L Engstrom, A Ilyas, S Santurkar, D Tsipras
URL https://github. com/MadryLab/robustness 4 (4), 4.3, 0
83
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
782020
Robustness (python library)
L Engstrom, A Ilyas, S Santurkar, D Tsipras
URL https://github. com/MadryLab/robustness, 2019
372019
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
342020
Fast Style Transfer
L Engstrom
https://github.com/lengstrom/fast-style-transfer/, 2016
302016
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
Unadversarial examples: Designing objects for robust vision
H Salman, A Ilyas, L Engstrom, S Vemprala, A Madry, A Kapoor
Advances in Neural Information Processing Systems 34, 15270-15284, 2021
162021
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