Aleksander Madry
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
53
Venues
12
Active years
2008–2025
Best venue rank
A*
Where they publish
Papers
53 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AIES | AI Supply Chains: An Emerging Ecosystem of AI Actors, Products, and Services. | Aspen K. Hopkins, Sarah H. Cen, Isabella Struckman, Andrew Ilyas, Luis Videgaray, Aleksander Madry |
| 2025 | ICLR | MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering. | Jun Shern Chan, Neil Chowdhury, Oliver Jaffe, James Aung, Dane Sherburn, Evan Mays, Giulio Starace, Kevin Liu, Leon Maksin, Tejal Patwardhan, Aleksander Madry, Lilian Weng |
| 2025 | ICLR | Machine Unlearning via Simulated Oracle Matching. | Kristian Georgiev, Roy Rinberg, Sung Min Park, Shivam Garg, Andrew Ilyas, Aleksander Madry, Seth Neel |
| 2025 | ICLR | Small-to-Large Generalization: Training Data Influences Models Consistently Across Scale. | Alaa Khaddaj, Logan Engstrom, Aleksander Madry |
| 2024 | ICML | DsDm: Model-Aware Dataset Selection with Datamodels. | Logan Engstrom, Axel Feldmann, Aleksander Madry |
| 2024 | ICML | Decomposing and Editing Predictions by Modeling Model Computation. | Harshay Shah, Andrew Ilyas, Aleksander Madry |
| 2023 | CVPR | A Data-Based Perspective on Transfer Learning. | Saachi Jain, Hadi Salman, Alaa Khaddaj, Eric Wong, Sung Min Park, Aleksander Madry |
| 2023 | CVPR | FFCV: Accelerating Training by Removing Data Bottlenecks. | Guillaume Leclerc, Andrew Ilyas, Logan Engstrom, Sung Min Park, Hadi Salman, Aleksander Madry |
| 2023 | ICLR | Distilling Model Failures as Directions in Latent Space. | Saachi Jain, Hannah Lawrence, Ankur Moitra, Aleksander Madry |
| 2023 | ICML | Rethinking Backdoor Attacks. | Alaa Khaddaj, Guillaume Leclerc, Aleksandar Makelov, Kristian Georgiev, Hadi Salman, Andrew Ilyas, Aleksander Madry |
| 2023 | ICML | TRAK: Attributing Model Behavior at Scale. | Sung Min Park, Kristian Georgiev, Andrew Ilyas, Guillaume Leclerc, Aleksander Madry |
| 2023 | ICML | Raising the Cost of Malicious AI-Powered Image Editing. | Hadi Salman, Alaa Khaddaj, Guillaume Leclerc, Andrew Ilyas, Aleksander Madry |
| 2023 | ICML | ModelDiff: A Framework for Comparing Learning Algorithms. | Harshay Shah, Sung Min Park, Andrew Ilyas, Aleksander Madry |
| 2022 | CVPR | Certified Patch Robustness via Smoothed Vision Transformers. | Hadi Salman, Saachi Jain, Eric Wong, Aleksander Madry |
| 2022 | ICLR | Missingness Bias in Model Debugging. | Saachi Jain, Hadi Salman, Eric Wong, Pengchuan Zhang, Vibhav Vineet, Sai Vemprala, Aleksander Madry |
| 2022 | ICML | Adversarially trained neural representations are already as robust as biological neural representations. | Chong Guo, Michael J. Lee, Guillaume Leclerc, Joel Dapello, Yug Rao, Aleksander Madry, James J. DiCarlo |
| 2022 | ICML | Datamodels: Understanding Predictions with Data and Data with Predictions. | Andrew Ilyas, Sung Min Park, Logan Engstrom, Guillaume Leclerc, Aleksander Madry |
| 2022 | ICML | Combining Diverse Feature Priors. | Saachi Jain, Dimitris Tsipras, Aleksander Madry |
| 2021 | FOCS | Faster Sparse Minimum Cost Flow by Electrical Flow Localization. | Kyriakos Axiotis, Aleksander Madry, Adrian Vladu |
| 2021 | ICLR | BREEDS: Benchmarks for Subpopulation Shift. | Shibani Santurkar, Dimitris Tsipras, Aleksander Madry |
| 2021 | ICLR | Noise or Signal: The Role of Image Backgrounds in Object Recognition. | Kai Yuanqing Xiao, Logan Engstrom, Andrew Ilyas, Aleksander Madry |
| 2021 | ICML | Leveraging Sparse Linear Layers for Debuggable Deep Networks. | Eric Wong, Shibani Santurkar, Aleksander Madry |
| 2020 | FOCS | Circulation Control for Faster Minimum Cost Flow in Unit-Capacity Graphs. | Kyriakos Axiotis, Aleksander Madry, Adrian Vladu |
| 2020 | ICLR | Implementation Matters in Deep RL: A Case Study on PPO and TRPO. | Logan Engstrom, Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Firdaus Janoos, Larry Rudolph, Aleksander Madry |
| 2020 | ICLR | A Closer Look at Deep Policy Gradients. | Andrew Ilyas, Logan Engstrom, Shibani Santurkar, Dimitris Tsipras, Firdaus Janoos, Larry Rudolph, Aleksander Madry |
| 2020 | ICML | Identifying Statistical Bias in Dataset Replication. | Logan Engstrom, Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Jacob Steinhardt, Aleksander Madry |
| 2020 | ICML | From ImageNet to Image Classification: Contextualizing Progress on Benchmarks. | Dimitris Tsipras, Shibani Santurkar, Logan Engstrom, Andrew Ilyas, Aleksander Madry |
| 2019 | ICLR | Prior Convictions: Black-box Adversarial Attacks with Bandits and Priors. | Andrew Ilyas, Logan Engstrom, Aleksander Madry |
| 2019 | ICLR | Robustness May Be at Odds with Accuracy. | Dimitris Tsipras, Shibani Santurkar, Logan Engstrom, Alexander Turner, Aleksander Madry |
| 2019 | ICLR | Training for Faster Adversarial Robustness Verification via Inducing ReLU Stability. | Kai Yuanqing Xiao, Vincent Tjeng, Nur Muhammad (Mahi) Shafiullah, Aleksander Madry |
| 2019 | ICML | Exploring the Landscape of Spatial Robustness. | Logan Engstrom, Brandon Tran, Dimitris Tsipras, Ludwig Schmidt, Aleksander Madry |
| 2018 | AISTATS | A Fast Algorithm for Separated Sparsity via Perturbed Lagrangians. | Aleksander Madry, Slobodan Mitrovic, Ludwig Schmidt |
| 2018 | ICLR | Towards Deep Learning Models Resistant to Adversarial Attacks. | Aleksander Madry, Aleksandar Makelov, Ludwig Schmidt, Dimitris Tsipras, Adrian Vladu |
| 2018 | ICML | On the Limitations of First-Order Approximation in GAN Dynamics. | Jerry Li, Aleksander Madry, John Peebles, Ludwig Schmidt |
| 2018 | ICML | A Classification-Based Study of Covariate Shift in GAN Distributions. | Shibani Santurkar, Ludwig Schmidt, Aleksander Madry |
| 2018 | STOC | k-server via multiscale entropic regularization. | Sbastien Bubeck, Michael B. Cohen, Yin Tat Lee, James R. Lee, Aleksander Madry |
| 2018 | STOC | Round compression for parallel matching algorithms. | Artur Czumaj, Jakub Lacki, Aleksander Madry, Slobodan Mitrovic, Krzysztof Onak, Piotr Sankowski |
| 2017 | FOCS | Matrix Scaling and Balancing via Box Constrained Newton's Method and Interior Point Methods. | Michael B. Cohen, Aleksander Madry, Dimitris Tsipras, Adrian Vladu |
| 2017 | SODA | Negative-Weight Shortest Paths and Unit Capacity Minimum Cost Flow in ( | Michael B. Cohen, Aleksander Madry, Piotr Sankowski, Adrian Vladu |
| 2016 | FOCS | Computing Maximum Flow with Augmenting Electrical Flows. | Aleksander Madry |
| 2016 | ICALP | On the Resiliency of Randomized Routing Against Multiple Edge Failures. | Marco Chiesa, Andrei V. Gurtov, Aleksander Madry, Slobodan Mitrovic, Ilya Nikolaevskiy, Michael Schapira, Scott Shenker |
| 2016 | INFOCOM | The quest for resilient (static) forwarding tables. | Marco Chiesa, Ilya Nikolaevskiy, Slobodan Mitrovic, Aurojit Panda, Andrei V. Gurtov, Aleksander Madry, Michael Schapira, Scott Shenker |
| 2015 | SODA | Fast Generation of Random Spanning Trees and the Effective Resistance Metric. | Aleksander Madry, Damian Straszak, Jakub Tarnawski |
| 2014 | IPCO | On the Configuration LP for Maximum Budgeted Allocation. | Christos Kalaitzis, Aleksander Madry, Alantha Newman, Lukas Polacek, Ola Svensson |
| 2013 | FOCS | Navigating Central Path with Electrical Flows: From Flows to Matchings, and Back. | Aleksander Madry |
| 2011 | FOCS | A Polylogarithmic-Competitive Algorithm for the k-Server Problem. | Nikhil Bansal, Niv Buchbinder, Aleksander Madry, Joseph Naor |
| 2011 | STOC | Electrical flows, laplacian systems, and faster approximation of maximum flow in undirected graphs. | Paul F. Christiano, Jonathan A. Kelner, Aleksander Madry, Daniel A. Spielman, Shang-Hua Teng |
| 2010 | FOCS | Fast Approximation Algorithms for Cut-Based Problems in Undirected Graphs. | Aleksander Madry |
| 2010 | SODA | An O(log n/ log log n)-approximation Algorithm for the Asymmetric Traveling Salesman Problem. | Arash Asadpour, Michel X. Goemans, Aleksander Madry, Shayan Oveis Gharan, Amin Saberi |
| 2010 | STOC | Faster approximation schemes for fractional multicommodity flow problems via dynamic graph algorithms. | Aleksander Madry |
| 2009 | FOCS | Faster Generation of Random Spanning Trees. | Jonathan A. Kelner, Aleksander Madry |
| 2009 | ICALP | Maximum Bipartite Flow in Networks with Adaptive Channel Width. | Yossi Azar, Aleksander Madry, Thomas Moscibroda, Debmalya Panigrahi, Aravind Srinivasan |
| 2008 | LATIN | Geometric Aspects of Online Packet Buffering: An Optimal Randomized Algorithm for Two Buffers. | Marcin Bienkowski, Aleksander Madry |