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Logan Engstrom
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2020 – today
- 2024
- [c18]Logan Engstrom, Axel Feldmann, Aleksander Madry:
DsDm: Model-Aware Dataset Selection with Datamodels. ICML 2024 - [i23]Logan Engstrom, Axel Feldmann, Aleksander Madry:
DsDm: Model-Aware Dataset Selection with Datamodels. CoRR abs/2401.12926 (2024) - 2023
- [c17]Guillaume Leclerc, Andrew Ilyas, Logan Engstrom, Sung Min Park, Hadi Salman, Aleksander Madry:
FFCV: Accelerating Training by Removing Data Bottlenecks. CVPR 2023: 12011-12020 - [i22]Joshua Vendrow, Saachi Jain, Logan Engstrom, Aleksander Madry:
Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation. CoRR abs/2302.07865 (2023) - [i21]Guillaume Leclerc, Andrew Ilyas, Logan Engstrom, Sung Min Park, Hadi Salman, Aleksander Madry:
FFCV: Accelerating Training by Removing Data Bottlenecks. CoRR abs/2306.12517 (2023) - 2022
- [c16]Andrew Ilyas, Sung Min Park, Logan Engstrom, Guillaume Leclerc, Aleksander Madry:
Datamodels: Understanding Predictions with Data and Data with Predictions. ICML 2022: 9525-9587 - [c15]Guillaume Leclerc, Hadi Salman, Andrew Ilyas, Sai Vemprala, Logan Engstrom, Vibhav Vineet, Kai Yuanqing Xiao, Pengchuan Zhang, Shibani Santurkar, Greg Yang, Ashish Kapoor, Aleksander Madry:
3DB: A Framework for Debugging Computer Vision Models. NeurIPS 2022 - [i20]Andrew Ilyas, Sung Min Park, Logan Engstrom, Guillaume Leclerc, Aleksander Madry:
Datamodels: Predicting Predictions from Training Data. CoRR abs/2202.00622 (2022) - [i19]Hadi Salman, Saachi Jain, Andrew Ilyas, Logan Engstrom, Eric Wong, Aleksander Madry:
When does Bias Transfer in Transfer Learning? CoRR abs/2207.02842 (2022) - 2021
- [c14]Kai Yuanqing Xiao, Logan Engstrom, Andrew Ilyas, Aleksander Madry:
Noise or Signal: The Role of Image Backgrounds in Object Recognition. ICLR 2021 - [c13]Hadi Salman, Andrew Ilyas, Logan Engstrom, Sai Vemprala, Aleksander Madry, Ashish Kapoor:
Unadversarial Examples: Designing Objects for Robust Vision. NeurIPS 2021: 15270-15284 - [i18]Guillaume Leclerc, Hadi Salman, Andrew Ilyas, Sai Vemprala, Logan Engstrom, Vibhav Vineet, Kai Yuanqing Xiao, Pengchuan Zhang, Shibani Santurkar, Greg Yang, Ashish Kapoor, Aleksander Madry:
3DB: A Framework for Debugging Computer Vision Models. CoRR abs/2106.03805 (2021) - 2020
- [c12]Logan Engstrom, Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Firdaus Janoos, Larry Rudolph, Aleksander Madry:
Implementation Matters in Deep RL: A Case Study on PPO and TRPO. ICLR 2020 - [c11]Andrew Ilyas, Logan Engstrom, Shibani Santurkar, Dimitris Tsipras, Firdaus Janoos, Larry Rudolph, Aleksander Madry:
A Closer Look at Deep Policy Gradients. ICLR 2020 - [c10]Logan Engstrom, Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Jacob Steinhardt, Aleksander Madry:
Identifying Statistical Bias in Dataset Replication. ICML 2020: 2922-2932 - [c9]Dimitris Tsipras, Shibani Santurkar, Logan Engstrom, Andrew Ilyas, Aleksander Madry:
From ImageNet to Image Classification: Contextualizing Progress on Benchmarks. ICML 2020: 9625-9635 - [c8]Hadi Salman, Andrew Ilyas, Logan Engstrom, Ashish Kapoor, Aleksander Madry:
Do Adversarially Robust ImageNet Models Transfer Better? NeurIPS 2020 - [i17]Logan Engstrom, Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Jacob Steinhardt, Aleksander Madry:
Identifying Statistical Bias in Dataset Replication. CoRR abs/2005.09619 (2020) - [i16]Dimitris Tsipras, Shibani Santurkar, Logan Engstrom, Andrew Ilyas, Aleksander Madry:
From ImageNet to Image Classification: Contextualizing Progress on Benchmarks. CoRR abs/2005.11295 (2020) - [i15]Logan Engstrom, Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Firdaus Janoos, Larry Rudolph, Aleksander Madry:
Implementation Matters in Deep Policy Gradients: A Case Study on PPO and TRPO. CoRR abs/2005.12729 (2020) - [i14]Kai Yuanqing Xiao, Logan Engstrom, Andrew Ilyas, Aleksander Madry:
Noise or Signal: The Role of Image Backgrounds in Object Recognition. CoRR abs/2006.09994 (2020) - [i13]Hadi Salman, Andrew Ilyas, Logan Engstrom, Ashish Kapoor, Aleksander Madry:
Do Adversarially Robust ImageNet Models Transfer Better? CoRR abs/2007.08489 (2020) - [i12]Hadi Salman, Andrew Ilyas, Logan Engstrom, Sai Vemprala, Aleksander Madry, Ashish Kapoor:
Unadversarial Examples: Designing Objects for Robust Vision. CoRR abs/2012.12235 (2020)
2010 – 2019
- 2019
- [c7]Andrew Ilyas, Logan Engstrom, Aleksander Madry:
Prior Convictions: Black-box Adversarial Attacks with Bandits and Priors. ICLR (Poster) 2019 - [c6]Dimitris Tsipras, Shibani Santurkar, Logan Engstrom, Alexander Turner, Aleksander Madry:
Robustness May Be at Odds with Accuracy. ICLR (Poster) 2019 - [c5]Logan Engstrom, Brandon Tran, Dimitris Tsipras, Ludwig Schmidt, Aleksander Madry:
Exploring the Landscape of Spatial Robustness. ICML 2019: 1802-1811 - [c4]Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Logan Engstrom, Brandon Tran, Aleksander Madry:
Adversarial Examples Are Not Bugs, They Are Features. NeurIPS 2019: 125-136 - [c3]Shibani Santurkar, Andrew Ilyas, Dimitris Tsipras, Logan Engstrom, Brandon Tran, Aleksander Madry:
Image Synthesis with a Single (Robust) Classifier. NeurIPS 2019: 1260-1271 - [i11]Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Logan Engstrom, Brandon Tran, Aleksander Madry:
Adversarial Examples Are Not Bugs, They Are Features. CoRR abs/1905.02175 (2019) - [i10]Logan Engstrom, Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Brandon Tran, Aleksander Madry:
Learning Perceptually-Aligned Representations via Adversarial Robustness. CoRR abs/1906.00945 (2019) - [i9]Shibani Santurkar, Dimitris Tsipras, Brandon Tran, Andrew Ilyas, Logan Engstrom, Aleksander Madry:
Computer Vision with a Single (Robust) Classifier. CoRR abs/1906.09453 (2019) - 2018
- [c2]Anish Athalye, Logan Engstrom, Andrew Ilyas, Kevin Kwok:
Synthesizing Robust Adversarial Examples. ICML 2018: 284-293 - [c1]Andrew Ilyas, Logan Engstrom, Anish Athalye, Jessy Lin:
Black-box Adversarial Attacks with Limited Queries and Information. ICML 2018: 2142-2151 - [i8]Andrew Ilyas, Logan Engstrom, Anish Athalye, Jessy Lin:
Black-box Adversarial Attacks with Limited Queries and Information. CoRR abs/1804.08598 (2018) - [i7]Dimitris Tsipras, Shibani Santurkar, Logan Engstrom, Alexander Turner, Aleksander Madry:
There Is No Free Lunch In Adversarial Robustness (But There Are Unexpected Benefits). CoRR abs/1805.12152 (2018) - [i6]Andrew Ilyas, Logan Engstrom, Aleksander Madry:
Prior Convictions: Black-Box Adversarial Attacks with Bandits and Priors. CoRR abs/1807.07978 (2018) - [i5]Logan Engstrom, Andrew Ilyas, Anish Athalye:
Evaluating and Understanding the Robustness of Adversarial Logit Pairing. CoRR abs/1807.10272 (2018) - [i4]Andrew Ilyas, Logan Engstrom, Shibani Santurkar, Dimitris Tsipras, Firdaus Janoos, Larry Rudolph, Aleksander Madry:
Are Deep Policy Gradient Algorithms Truly Policy Gradient Algorithms? CoRR abs/1811.02553 (2018) - 2017
- [i3]Anish Athalye, Logan Engstrom, Andrew Ilyas, Kevin Kwok:
Synthesizing Robust Adversarial Examples. CoRR abs/1707.07397 (2017) - [i2]Logan Engstrom, Dimitris Tsipras, Ludwig Schmidt, Aleksander Madry:
A Rotation and a Translation Suffice: Fooling CNNs with Simple Transformations. CoRR abs/1712.02779 (2017) - [i1]Andrew Ilyas, Logan Engstrom, Anish Athalye, Jessy Lin:
Query-Efficient Black-box Adversarial Examples. CoRR abs/1712.07113 (2017)
Coauthor Index
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last updated on 2024-10-07 22:18 CEST by the dblp team
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