More from the Same Authors

• 2022 : A Game-Theoretic Perspective on Trust in Recommendation »
  Sarah Cen · Andrew Ilyas · Aleksander Madry
• 2023 : ModelDiff: A Framework for Comparing Learning Algorithms »
  Harshay Shah · Sung Min (Sam) Park · Andrew Ilyas · Aleksander Madry
• 2023 : Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation »
  Joshua Vendrow · Saachi Jain · Logan Engstrom · Aleksander Madry
• 2023 : What Works in Chest X-Ray Classification? A Case Study of Design Choices »
  Evan Vogelbaum · Logan Engstrom · Aleksander Madry
• 2023 : The Journey, Not the Destination: How Data Guides Diffusion Models »
  Kristian Georgiev · Joshua Vendrow · Hadi Salman · Sung Min (Sam) Park · Aleksander Madry
• 2023 Poster: TRAK: Attributing Model Behavior at Scale »
  Sung Min (Sam) Park · Kristian Georgiev · Andrew Ilyas · Guillaume Leclerc · Aleksander Madry
• 2023 Oral: TRAK: Attributing Model Behavior at Scale »
  Sung Min (Sam) Park · Kristian Georgiev · Andrew Ilyas · Guillaume Leclerc · Aleksander Madry
• 2023 Poster: ModelDiff: A Framework for Comparing Learning Algorithms »
  Harshay Shah · Sung Min (Sam) Park · Andrew Ilyas · Aleksander Madry
• 2023 Oral: Raising the Cost of Malicious AI-Powered Image Editing »
  Hadi Salman · Alaa Khaddaj · Guillaume Leclerc · Andrew Ilyas · Aleksander Madry
• 2023 Poster: Rethinking Backdoor Attacks »
  Alaa Khaddaj · Guillaume Leclerc · Aleksandar Makelov · Kristian Georgiev · Hadi Salman · Andrew Ilyas · Aleksander Madry
• 2023 Poster: Raising the Cost of Malicious AI-Powered Image Editing »
  Hadi Salman · Alaa Khaddaj · Guillaume Leclerc · Andrew Ilyas · Aleksander Madry
• 2022 : Panel discussion »
  Steffen Schneider · Aleksander Madry · Alexei Efros · Chelsea Finn · Soheil Feizi
• 2022 : Dr. Aleksander Madry's Talk »
  Aleksander Madry
• 2022 Poster: Datamodels: Understanding Predictions with Data and Data with Predictions »
  Andrew Ilyas · Sung Min (Sam) Park · Logan Engstrom · Guillaume Leclerc · Aleksander Madry
• 2022 Poster: Adversarially trained neural representations are already as robust as biological neural representations »
  Chong Guo · Michael Lee · Guillaume Leclerc · Joel Dapello · Yug Rao · Aleksander Madry · James DiCarlo
• 2022 Oral: Adversarially trained neural representations are already as robust as biological neural representations »
  Chong Guo · Michael Lee · Guillaume Leclerc · Joel Dapello · Yug Rao · Aleksander Madry · James DiCarlo
• 2022 Spotlight: Datamodels: Understanding Predictions with Data and Data with Predictions »
  Andrew Ilyas · Sung Min (Sam) Park · Logan Engstrom · Guillaume Leclerc · Aleksander Madry
• 2022 Poster: Combining Diverse Feature Priors »
  Saachi Jain · Dimitris Tsipras · Aleksander Madry
• 2022 Spotlight: Combining Diverse Feature Priors »
  Saachi Jain · Dimitris Tsipras · Aleksander Madry
• 2021 : Invited Talk #4 »
  Aleksander Madry
• 2021 Poster: Leveraging Sparse Linear Layers for Debuggable Deep Networks »
  Eric Wong · Shibani Santurkar · Aleksander Madry
• 2021 Oral: Leveraging Sparse Linear Layers for Debuggable Deep Networks »
  Eric Wong · Shibani Santurkar · Aleksander Madry
• 2020 Poster: From ImageNet to Image Classification: Contextualizing Progress on Benchmarks »
  Dimitris Tsipras · Shibani Santurkar · Logan Engstrom · Andrew Ilyas · Aleksander Madry
• 2020 Poster: Identifying Statistical Bias in Dataset Replication »
  Logan Engstrom · Andrew Ilyas · Shibani Santurkar · Dimitris Tsipras · Jacob Steinhardt · Aleksander Madry
• 2019 Workshop: Identifying and Understanding Deep Learning Phenomena »
  Hanie Sedghi · Samy Bengio · Kenji Hata · Aleksander Madry · Ari Morcos · Behnam Neyshabur · Maithra Raghu · Ali Rahimi · Ludwig Schmidt · Ying Xiao
• 2019 : Panel Discussion (Nati Srebro, Dan Roy, Chelsea Finn, Mikhail Belkin, Aleksander Mądry, Jason Lee) »
  Nati Srebro · Daniel Roy · Chelsea Finn · Mikhail Belkin · Aleksander Madry · Jason Lee
• 2019 : Keynote by Aleksander Mądry: Are All Features Created Equal? »
  Aleksander Madry
• 2019 Poster: Exploring the Landscape of Spatial Robustness »
  Logan Engstrom · Brandon Tran · Dimitris Tsipras · Ludwig Schmidt · Aleksander Madry
• 2019 Oral: Exploring the Landscape of Spatial Robustness »
  Logan Engstrom · Brandon Tran · Dimitris Tsipras · Ludwig Schmidt · Aleksander Madry
• 2018 Poster: On the Limitations of First-Order Approximation in GAN Dynamics »
  Jerry Li · Aleksander Madry · John Peebles · Ludwig Schmidt
• 2018 Oral: On the Limitations of First-Order Approximation in GAN Dynamics »
  Jerry Li · Aleksander Madry · John Peebles · Ludwig Schmidt
• 2018 Poster: A Classification-Based Study of Covariate Shift in GAN Distributions »
  Shibani Santurkar · Ludwig Schmidt · Aleksander Madry
• 2018 Oral: A Classification-Based Study of Covariate Shift in GAN Distributions »
  Shibani Santurkar · Ludwig Schmidt · Aleksander Madry