Dimitris Tsipras

42 papers A* 14B 1Journal 24Unranked 2

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses. IEEE Trans. Pattern Anal. Mach. Intell. Micah Goldblum, Dimitris Tsipras, Chulin Xie, Xinyun Chen, Avi Schwarzschild, Dawn Song, Aleksander Madry, Bo Li, Tom Goldstein
2023	J	`jnl`	Holistic Evaluation of Language Models. Trans. Mach. Learn. Res. 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
2022	A*	`conf`	Combining Diverse Feature Priors. ICML Saachi Jain, Dimitris Tsipras, Aleksander Madry
2022	J	`jnl`	Holistic Evaluation of Language Models. CoRR 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
2022	A*	`conf`	What Can Transformers Learn In-Context? A Case Study of Simple Function Classes. NeurIPS Shivam Garg, Dimitris Tsipras, Percy Liang, Gregory Valiant
2022	J	`jnl`	What Can Transformers Learn In-Context? A Case Study of Simple Function Classes. CoRR Shivam Garg, Dimitris Tsipras, Percy Liang, Gregory Valiant
2021	A*	`conf`	BREEDS: Benchmarks for Subpopulation Shift. ICLR Shibani Santurkar, Dimitris Tsipras, Aleksander Madry
2021	J	`jnl`	Combining Diverse Feature Priors. CoRR Saachi Jain, Dimitris Tsipras, Aleksander Madry
2021	A*	`conf`	Editing a classifier by rewriting its prediction rules. NeurIPS Shibani Santurkar, Dimitris Tsipras, Mahalaxmi Elango, David Bau, Antonio Torralba, Aleksander Madry
2021	J	`jnl`	Editing a classifier by rewriting its prediction rules. CoRR Shibani Santurkar, Dimitris Tsipras, Mahalaxmi Elango, David Bau, Antonio Torralba, Aleksander Madry
2021	—	`—`	Learning Through the Lens of Robustness. Dimitris Tsipras
2020	A*	`conf`	A Closer Look at Deep Policy Gradients. ICLR Andrew Ilyas, Logan Engstrom, Shibani Santurkar, Dimitris Tsipras, Firdaus Janoos, Larry Rudolph, Aleksander Madry
2020	J	`jnl`	BREEDS: Benchmarks for Subpopulation Shift. CoRR Shibani Santurkar, Dimitris Tsipras, Aleksander Madry
2020	J	`jnl`	Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses. CoRR Micah Goldblum, Dimitris Tsipras, Chulin Xie, Xinyun Chen, Avi Schwarzschild, Dawn Song, Aleksander Madry, Bo Li, Tom Goldstein
2020	A*	`conf`	From ImageNet to Image Classification: Contextualizing Progress on Benchmarks. ICML Dimitris Tsipras, Shibani Santurkar, Logan Engstrom, Andrew Ilyas, Aleksander Madry
2020	J	`jnl`	From ImageNet to Image Classification: Contextualizing Progress on Benchmarks. CoRR Dimitris Tsipras, Shibani Santurkar, Logan Engstrom, Andrew Ilyas, Aleksander Madry
2020	A*	`conf`	Identifying Statistical Bias in Dataset Replication. ICML Logan Engstrom, Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Jacob Steinhardt, Aleksander Madry
2020	J	`jnl`	Identifying Statistical Bias in Dataset Replication. CoRR Logan Engstrom, Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Jacob Steinhardt, Aleksander Madry
2020	J	`jnl`	Implementation Matters in Deep Policy Gradients: A Case Study on PPO and TRPO. CoRR Logan Engstrom, Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Firdaus Janoos, Larry Rudolph, Aleksander Madry
2020	A*	`conf`	Implementation Matters in Deep RL: A Case Study on PPO and TRPO. ICLR Logan Engstrom, Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Firdaus Janoos, Larry Rudolph, Aleksander Madry
2019	A*	`conf`	Adversarial Examples Are Not Bugs, They Are Features. NeurIPS Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Logan Engstrom, Brandon Tran, Aleksander Madry
2019	J	`jnl`	Adversarial Examples Are Not Bugs, They Are Features. CoRR Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Logan Engstrom, Brandon Tran, Aleksander Madry
2019	J	`jnl`	Computer Vision with a Single (Robust) Classifier. CoRR Shibani Santurkar, Dimitris Tsipras, Brandon Tran, Andrew Ilyas, Logan Engstrom, Aleksander Madry
2019	A*	`conf`	Exploring the Landscape of Spatial Robustness. ICML Logan Engstrom, Brandon Tran, Dimitris Tsipras, Ludwig Schmidt, Aleksander Madry
2019	A*	`conf`	Image Synthesis with a Single (Robust) Classifier. NeurIPS Shibani Santurkar, Andrew Ilyas, Dimitris Tsipras, Logan Engstrom, Brandon Tran, Aleksander Madry
2019	J	`jnl`	Label-Consistent Backdoor Attacks. CoRR Alexander Turner, Dimitris Tsipras, Aleksander Madry
2019	J	`jnl`	Learning Perceptually-Aligned Representations via Adversarial Robustness. CoRR Logan Engstrom, Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Brandon Tran, Aleksander Madry
2019	J	`jnl`	On Evaluating Adversarial Robustness. CoRR Nicholas Carlini, Anish Athalye, Nicolas Papernot, Wieland Brendel, Jonas Rauber, Dimitris Tsipras, Ian J. Goodfellow, Aleksander Madry, Alexey Kurakin
2019	—	`conf`	Robustness May Be at Odds with Accuracy. ICLR (Poster) Dimitris Tsipras, Shibani Santurkar, Logan Engstrom, Alexander Turner, Aleksander Madry
2018	A*	`conf`	Adversarially Robust Generalization Requires More Data. NeurIPS Ludwig Schmidt, Shibani Santurkar, Dimitris Tsipras, Kunal Talwar, Aleksander Madry
2018	J	`jnl`	Adversarially Robust Generalization Requires More Data. CoRR Ludwig Schmidt, Shibani Santurkar, Dimitris Tsipras, Kunal Talwar, Aleksander Madry
2018	J	`jnl`	Are Deep Policy Gradient Algorithms Truly Policy Gradient Algorithms? CoRR Andrew Ilyas, Logan Engstrom, Shibani Santurkar, Dimitris Tsipras, Firdaus Janoos, Larry Rudolph, Aleksander Madry
2018	A*	`conf`	How Does Batch Normalization Help Optimization? NeurIPS Shibani Santurkar, Dimitris Tsipras, Andrew Ilyas, Aleksander Madry
2018	J	`jnl`	How Does Batch Normalization Help Optimization? (No, It Is Not About Internal Covariate Shift). CoRR Shibani Santurkar, Dimitris Tsipras, Andrew Ilyas, Aleksander Madry
2018	J	`jnl`	There Is No Free Lunch In Adversarial Robustness (But There Are Unexpected Benefits). CoRR Dimitris Tsipras, Shibani Santurkar, Logan Engstrom, Alexander Turner, Aleksander Madry
2018	—	`conf`	Towards Deep Learning Models Resistant to Adversarial Attacks. ICLR (Poster) Aleksander Madry, Aleksandar Makelov, Ludwig Schmidt, Dimitris Tsipras, Adrian Vladu
2017	J	`jnl`	A Rotation and a Translation Suffice: Fooling CNNs with Simple Transformations. CoRR Logan Engstrom, Dimitris Tsipras, Ludwig Schmidt, Aleksander Madry
2017	A*	`conf`	Matrix Scaling and Balancing via Box Constrained Newton's Method and Interior Point Methods. FOCS Michael B. Cohen, Aleksander Madry, Dimitris Tsipras, Adrian Vladu
2017	J	`jnl`	Matrix Scaling and Balancing via Box Constrained Newton's Method and Interior Point Methods. CoRR Michael B. Cohen, Aleksander Madry, Dimitris Tsipras, Adrian Vladu
2017	J	`jnl`	Towards Deep Learning Models Resistant to Adversarial Attacks. CoRR Aleksander Madry, Aleksandar Makelov, Ludwig Schmidt, Dimitris Tsipras, Adrian Vladu
2016	J	`jnl`	Efficient Money Burning in General Domains. Theory Comput. Syst. Dimitris Fotakis, Dimitris Tsipras, Christos Tzamos, Emmanouil Zampetakis
2015	B	`conf`	Efficient Money Burning in General Domains. SAGT Dimitris Fotakis, Dimitris Tsipras, Christos Tzamos, Emmanouil Zampetakis