Dimitris Tsipras

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 40

Top Topics

Function Classes

Policy Gradient

Top Venues

Publications

Percy Liang, Rishi Bommasani, Tony Lee, Dimitris Tsipras, Dilara Soylu, Michihiro Yasunaga, Yian Zhang, Deepak Narayanan, Yuhuai Wu, Ananya Kumar, Benjamin Newman, Binhang Yuan, Bobby Yan, Ce Zhang, Christian Cosgrove, Christopher D. Manning, Christopher Ré, Diana Acosta-Navas, Drew A. Hudson, Eric Zelikman, Esin Durmus, Faisal Ladhak, Frieda Rong, Hongyu Ren, Huaxiu Yao, Jue Wang, Keshav Santhanam, Laurel J. Orr, Lucia Zheng, Mert Yüksekgönül, Mirac Suzgun, Nathan Kim, Neel Guha, Niladri S. Chatterji, Omar Khattab, Peter Henderson, Qian Huang, Ryan Chi, Sang Michael Xie, Shibani Santurkar, Surya Ganguli, Tatsunori Hashimoto, Thomas Icard, Tianyi Zhang, Vishrav Chaudhary, William Wang, Xuechen Li, Yifan Mai, Yuhui Zhang, Yuta Koreeda
Holistic Evaluation of Language Models. Trans. Mach. Learn. Res. 2023 (2023)
Micah Goldblum, Dimitris Tsipras, Chulin Xie, Xinyun Chen, Avi Schwarzschild, Dawn Song, Aleksander Madry, Bo Li, Tom Goldstein
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses. IEEE Trans. Pattern Anal. Mach. Intell. 45 (2) (2023)
Saachi Jain, Dimitris Tsipras, Aleksander Madry
Combining Diverse Feature Priors. ICML (2022)
Shivam Garg, Dimitris Tsipras, Percy Liang, Gregory Valiant
What Can Transformers Learn In-Context? A Case Study of Simple Function Classes. CoRR (2022)
Shivam Garg, Dimitris Tsipras, Percy Liang, Gregory Valiant
What Can Transformers Learn In-Context? A Case Study of Simple Function Classes. NeurIPS (2022)
Percy Liang, Rishi Bommasani, Tony Lee, Dimitris Tsipras, Dilara Soylu, Michihiro Yasunaga, Yian Zhang, Deepak Narayanan, Yuhuai Wu, Ananya Kumar, Benjamin Newman, Binhang Yuan, Bobby Yan, Ce Zhang, Christian Cosgrove, Christopher D. Manning, Christopher Ré, Diana Acosta-Navas, Drew A. Hudson, Eric Zelikman, Esin Durmus, Faisal Ladhak, Frieda Rong, Hongyu Ren, Huaxiu Yao, Jue Wang, Keshav Santhanam, Laurel J. Orr, Lucia Zheng, Mert Yüksekgönül, Mirac Suzgun, Nathan Kim, Neel Guha, Niladri S. Chatterji, Omar Khattab, Peter Henderson, Qian Huang, Ryan Chi, Sang Michael Xie, Shibani Santurkar, Surya Ganguli, Tatsunori Hashimoto, Thomas Icard, Tianyi Zhang, Vishrav Chaudhary, William Wang, Xuechen Li, Yifan Mai, Yuhui Zhang, Yuta Koreeda
Holistic Evaluation of Language Models. CoRR (2022)
Shibani Santurkar, Dimitris Tsipras, Mahalaxmi Elango, David Bau, Antonio Torralba, Aleksander Madry
Editing a classifier by rewriting its prediction rules. CoRR (2021)
Saachi Jain, Dimitris Tsipras, Aleksander Madry
Combining Diverse Feature Priors. CoRR (2021)
Shibani Santurkar, Dimitris Tsipras, Aleksander Madry
BREEDS: Benchmarks for Subpopulation Shift. ICLR (2021)
Shibani Santurkar, Dimitris Tsipras, Mahalaxmi Elango, David Bau, Antonio Torralba, Aleksander Madry
Editing a classifier by rewriting its prediction rules. NeurIPS (2021)
Dimitris Tsipras, Shibani Santurkar, Logan Engstrom, Andrew Ilyas, Aleksander Madry
From ImageNet to Image Classification: Contextualizing Progress on Benchmarks. CoRR (2020)
Shibani Santurkar, Dimitris Tsipras, Aleksander Madry
BREEDS: Benchmarks for Subpopulation Shift. CoRR (2020)
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)
Logan Engstrom, Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Jacob Steinhardt, Aleksander Madry
Identifying Statistical Bias in Dataset Replication. ICML (2020)
Andrew Ilyas, Logan Engstrom, Shibani Santurkar, Dimitris Tsipras, Firdaus Janoos, Larry Rudolph, Aleksander Madry
A Closer Look at Deep Policy Gradients. ICLR (2020)
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 (2020)
Logan Engstrom, Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Jacob Steinhardt, Aleksander Madry
Identifying Statistical Bias in Dataset Replication. CoRR (2020)
Micah Goldblum, Dimitris Tsipras, Chulin Xie, Xinyun Chen, Avi Schwarzschild, Dawn Song, Aleksander Madry, Bo Li, Tom Goldstein
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses. CoRR (2020)
Dimitris Tsipras, Shibani Santurkar, Logan Engstrom, Andrew Ilyas, Aleksander Madry
From ImageNet to Image Classification: Contextualizing Progress on Benchmarks. ICML (2020)
Alexander Turner, Dimitris Tsipras, Aleksander Madry
Label-Consistent Backdoor Attacks. CoRR (2019)
Logan Engstrom, Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Brandon Tran, Aleksander Madry
Learning Perceptually-Aligned Representations via Adversarial Robustness. CoRR (2019)
Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Logan Engstrom, Brandon Tran, Aleksander Madry
Adversarial Examples Are Not Bugs, They Are Features. NeurIPS (2019)
Logan Engstrom, Brandon Tran, Dimitris Tsipras, Ludwig Schmidt, Aleksander Madry
Exploring the Landscape of Spatial Robustness. ICML (2019)
Shibani Santurkar, Andrew Ilyas, Dimitris Tsipras, Logan Engstrom, Brandon Tran, Aleksander Madry
Image Synthesis with a Single (Robust) Classifier. NeurIPS (2019)
Nicholas Carlini, Anish Athalye, Nicolas Papernot, Wieland Brendel, Jonas Rauber, Dimitris Tsipras, Ian J. Goodfellow, Aleksander Madry, Alexey Kurakin
On Evaluating Adversarial Robustness. CoRR (2019)
Shibani Santurkar, Dimitris Tsipras, Brandon Tran, Andrew Ilyas, Logan Engstrom, Aleksander Madry
Computer Vision with a Single (Robust) Classifier. CoRR (2019)
Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Logan Engstrom, Brandon Tran, Aleksander Madry
Adversarial Examples Are Not Bugs, They Are Features. CoRR (2019)
Dimitris Tsipras, Shibani Santurkar, Logan Engstrom, Alexander Turner, Aleksander Madry
Robustness May Be at Odds with Accuracy. ICLR (Poster) (2019)
Shibani Santurkar, Dimitris Tsipras, Andrew Ilyas, Aleksander Madry
How Does Batch Normalization Help Optimization? NeurIPS (2018)
Ludwig Schmidt, Shibani Santurkar, Dimitris Tsipras, Kunal Talwar, Aleksander Madry
Adversarially Robust Generalization Requires More Data. NeurIPS (2018)
Aleksander Madry, Aleksandar Makelov, Ludwig Schmidt, Dimitris Tsipras, Adrian Vladu
Towards Deep Learning Models Resistant to Adversarial Attacks. ICLR (Poster) (2018)
Ludwig Schmidt, Shibani Santurkar, Dimitris Tsipras, Kunal Talwar, Aleksander Madry
Adversarially Robust Generalization Requires More Data. CoRR (2018)
Shibani Santurkar, Dimitris Tsipras, Andrew Ilyas, Aleksander Madry
How Does Batch Normalization Help Optimization? (No, It Is Not About Internal Covariate Shift). CoRR (2018)
Andrew Ilyas, Logan Engstrom, Shibani Santurkar, Dimitris Tsipras, Firdaus Janoos, Larry Rudolph, Aleksander Madry
Are Deep Policy Gradient Algorithms Truly Policy Gradient Algorithms? CoRR (2018)
Dimitris Tsipras, Shibani Santurkar, Logan Engstrom, Alexander Turner, Aleksander Madry
There Is No Free Lunch In Adversarial Robustness (But There Are Unexpected Benefits). CoRR (2018)
Michael B. Cohen, Aleksander Madry, Dimitris Tsipras, Adrian Vladu
Matrix Scaling and Balancing via Box Constrained Newton's Method and Interior Point Methods. CoRR (2017)
Michael B. Cohen, Aleksander Madry, Dimitris Tsipras, Adrian Vladu
Matrix Scaling and Balancing via Box Constrained Newton's Method and Interior Point Methods. FOCS (2017)
Aleksander Madry, Aleksandar Makelov, Ludwig Schmidt, Dimitris Tsipras, Adrian Vladu
Towards Deep Learning Models Resistant to Adversarial Attacks. CoRR (2017)
Logan Engstrom, Dimitris Tsipras, Ludwig Schmidt, Aleksander Madry
A Rotation and a Translation Suffice: Fooling CNNs with Simple Transformations. CoRR (2017)
Dimitris Fotakis, Dimitris Tsipras, Christos Tzamos, Emmanouil Zampetakis
Efficient Money Burning in General Domains. Theory Comput. Syst. 59 (4) (2016)
Dimitris Fotakis, Dimitris Tsipras, Christos Tzamos, Emmanouil Zampetakis
Efficient Money Burning in General Domains. SAGT (2015)