Andrew Ilyas
Title
Cited by
Cited by
Year
Synthesizing robust adversarial examples
A Athalye, L Engstrom, A Ilyas, K Kwok
arXiv preprint arXiv:1707.07397, 2017
6272017
How Does Batch Normalization Help Optimization?
S Santurkar, D Tsipras, A Ilyas, A Madry
454*
Black-box Adversarial Attacks with Limited Queries and Information
A Ilyas, L Engstrom, A Athalye, J Lin
arXiv preprint arXiv:1804.08598, 2018
343*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
3082019
Training GANs with Optimism
C Daskalakis, A Ilyas, V Syrgkanis, H Zeng
arXiv preprint arXiv:1711.00141, 2017
1702017
Prior Convictions: Black-Box Adversarial Attacks with Bandits and Priors
A Ilyas, L Engstrom, A Madry
arXiv preprint arXiv:1807.07978, 2018
1032018
The robust manifold defense: Adversarial training using generative models
A Ilyas, A Jalal, E Asteri, C Daskalakis, AG Dimakis
arXiv preprint arXiv:1712.09196, 2017
892017
Evaluating and Understanding the Robustness of Adversarial Logit Pairing
L Engstrom, A Ilyas, A Athalye
arXiv preprint arXiv:1807.10272, 2018
742018
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
42*2019
Computer Vision with a Single (Robust) Classifier.
S Santurkar, D Tsipras, B Tran, A Ilyas, L Engstrom, A Madry
39*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
38*2018
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
24*2020
Robustness (python library), 2019
L Engstrom, A Ilyas, S Santurkar, D Tsipras
URL https://github. com/MadryLab/robustness, 0
18
Identifying Statistical Bias in Dataset Replication
L Engstrom, A Ilyas, S Santurkar, D Tsipras, J Steinhardt, A Madry
arXiv preprint arXiv:2005.09619, 2020
102020
MicroFilters: Harnessing twitter for disaster management
A Ilyas
IEEE Global Humanitarian Technology Conference (GHTC 2014), 417-424, 2014
102014
Extracting Syntactical Patterns from Databases
A Ilyas, JMF da Trindade, RC Fernandez, S Madden
2018 IEEE 34th International Conference on Data Engineering (ICDE), 41-52, 2018
92018
Do Adversarially Robust ImageNet Models Transfer Better?
H Salman, A Ilyas, L Engstrom, A Kapoor, A Madry
arXiv preprint arXiv:2007.08489, 2020
72020
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
72019
From ImageNet to Image Classification: Contextualizing Progress on Benchmarks
D Tsipras, S Santurkar, L Engstrom, A Ilyas, A Madry
arXiv preprint arXiv:2005.11295, 2020
52020
Estimating Household Transmission of SARS-CoV-2
M Curmei, A Ilyas, O Evans, J Steinhardt
medRxiv, 2020
32020
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