Dimitris Tsipras

发表

Robustness May Be at Odds with Accuracy

Aleksander Madry, Dimitris Tsipras, Logan Engstrom, 2018, ICLR.

Towards Deep Learning Models Resistant to Adversarial Attacks pdf

Aleksander Madry, Ludwig Schmidt, Adrian Vladu, 2017, ICLR.

Adversarially Robust Generalization Requires More Data

Aleksander Madry, Ludwig Schmidt, Kunal Talwar, 2018, NeurIPS.

A Rotation and a Translation Suffice: Fooling CNNs with Simple Transformations pdf

Aleksander Madry, Ludwig Schmidt, Dimitris Tsipras, 2017, ArXiv.

Exploring the Landscape of Spatial Robustness

Aleksander Madry, Ludwig Schmidt, Dimitris Tsipras, 2017, ICML.

Adversarial Examples Are Not Bugs, They Are Features

Aleksander Madry, Dimitris Tsipras, Logan Engstrom, 2019, NeurIPS.

Matrix Scaling and Balancing via Box Constrained Newton's Method and Interior Point Methods

Aleksander Madry, Michael B. Cohen, Adrian Vladu, 2017, 2017 IEEE 58th Annual Symposium on Foundations of Computer Science (FOCS).

On Evaluating Adversarial Robustness 2 Principles of Rigorous Evaluations 2

Ian J. Goodfellow, A. Madry, Jonas Rauber, 2019 .

Data Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses

A. Madry, Xinyun Chen, D. Song, 2020 .

Identifying Statistical Bias in Dataset Replication

Aleksander Madry, Dimitris Tsipras, Logan Engstrom, 2020, ICML.

Continuous Optimization in Deep Learning

Dimitris Tsipras, Scott Foster, Luke Kulik, 2019 .

Identifying Statistical Bias in Dataset Replication

Aleksander Madry, Dimitris Tsipras, Logan Engstrom, 2020, ICML.

Discussion and Author Responses

Aleksander Madry, Dimitris Tsipras, Logan Engstrom, 2019, Distill.

What Can Transformers Learn In-Context? A Case Study of Simple Function Classes

Percy Liang, G. Valiant, Dimitris Tsipras, 2022, ArXiv.

Statistical Bias in Dataset Replication

Aleksander Madry, Dimitris Tsipras, Logan Engstrom, 2020, ICML 2020.

A Closer Look at Model Adaptation using Feature Distortion and Simplicity Bias

Dimitris Tsipras, Logan Engstrom, Danai Koutra, 2023, ICLR.

Combining Diverse Feature Priors

A. Madry, Saachi Jain, Dimitris Tsipras, 2021, ICML.

What Can Transformers Learn In-Context? A Case Study of Simple Function Classes

Percy Liang, G. Valiant, Dimitris Tsipras, 2022, NeurIPS.

There Is No Free Lunch In Adversarial Robustness (But There Are Unexpected Benefits) pdf

Aleksander Madry, Dimitris Tsipras, Logan Engstrom, 2018, ArXiv.

Holistic Evaluation of Language Models

Christopher D. Manning, Sang Michael Xie, Niladri S. Chatterji, 2023, Annals of the New York Academy of Sciences.

How Does Batch Normalization Help Optimization? (No, It Is Not About Internal Covariate Shift) pdf

Aleksander Madry, Dimitris Tsipras, Andrew Ilyas, 2018, NIPS 2018.

Editing a classifier by rewriting its prediction rules pdf

Antonio Torralba, Aleksander Madry, David Bau, 2021, NeurIPS.

BREEDS: Benchmarks for Subpopulation Shift

Aleksander Madry, Dimitris Tsipras, Shibani Santurkar, 2020, ICLR.

Adversarial Robustness as a Prior for Learned Representations

Aleksander Madry, Dimitris Tsipras, Logan Engstrom, 2019 .

Image Synthesis with a Single (Robust) Classifier

Aleksander Madry, Dimitris Tsipras, Logan Engstrom, 2019, NeurIPS.

How Does Batch Normalization Help Optimization? (No, It Is Not About Internal Covariate Shift)

Aleksander Madry, Dimitris Tsipras, Andrew Ilyas, 2018, NeurIPS.

Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses

A. Madry, Xinyun Chen, D. Song, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Computer Vision with a Single (Robust) Classifier pdf

Aleksander Madry, Dimitris Tsipras, Logan Engstrom, 2019, NeurIPS 2019.

On Evaluating Adversarial Robustness pdf

Aleksander Madry, Wieland Brendel, Nicholas Carlini, 2019, ArXiv.

A Closer Look at Deep Policy Gradients

Larry Rudolph, Aleksander Madry, Dimitris Tsipras, 2018, ICLR.

From ImageNet to Image Classification: Contextualizing Progress on Benchmarks pdf

Aleksander Madry, Dimitris Tsipras, Logan Engstrom, 2020, ICML.

Clean-Label Backdoor Attacks

Aleksander Madry, Dimitris Tsipras, Alexander Turner, 2018 .

Label-Consistent Backdoor Attacks pdf

Aleksander Madry, Dimitris Tsipras, Alexander Turner, 2019, ArXiv.

Implementation Matters in Deep Policy Gradients: A Case Study on PPO and TRPO pdf

Larry Rudolph, Aleksander Madry, Dimitris Tsipras, 2020, ArXiv.

Implementation Matters in Deep RL: A Case Study on PPO and TRPO

Larry Rudolph, Aleksander Madry, Dimitris Tsipras, 2020, ICLR.

Learning Perceptually-Aligned Representations via Adversarial Robustness pdf

Aleksander Madry, Dimitris Tsipras, Logan Engstrom, 2019, ArXiv.

Are Deep Policy Gradient Algorithms Truly Policy Gradient Algorithms? pdf

Larry Rudolph, Aleksander Madry, Dimitris Tsipras, 2018, ArXiv.

What Can Transformers Learn In-Context? A Case Study of Simple Function Classes

Percy Liang, G. Valiant, Dimitris Tsipras, 2022, NeurIPS.

Holistic Evaluation of Language Models

Christopher D. Manning, Sang Michael Xie, Niladri S. Chatterji, 2023, Trans. Mach. Learn. Res..

A Closer Look at Deep Policy Gradients

A. Madry, L. Rudolph, Andrew Ilyas, 2018, ICLR.

When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards

Mitesh M. Khapra, Isabel M. Kloumann, Niladri S. Chatterji, 2024, ArXiv.