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ORCIDAlexander Robey
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2020 – today
- 2024
[c15]Alexander Robey, Fabian Latorre, George J. Pappas, Hamed Hassani, Volkan Cevher:
Adversarial Training Should Be Cast as a Non-Zero-Sum Game. ICLR 2024- [c14]Shayne Longpre, Sayash Kapoor, Kevin Klyman, Ashwin Ramaswami, Rishi Bommasani, Borhane Blili-Hamelin, Yangsibo Huang, Aviya Skowron, Zheng Xin Yong, Suhas Kotha, Yi Zeng, Weiyan Shi, Xianjun Yang, Reid Southen, Alexander Robey, Patrick Chao, Diyi Yang, Ruoxi Jia, Daniel Kang, Sandy Pentland, Arvind Narayanan, Percy Liang, Peter Henderson:
Position: A Safe Harbor for AI Evaluation and Red Teaming. ICML 2024 - [i24]Jiabao Ji, Bairu Hou, Alexander Robey, George J. Pappas, Hamed Hassani, Yang Zhang, Eric Wong
, Shiyu Chang:
Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing. CoRR abs/2402.16192 (2024) - [i23]Shayne Longpre, Sayash Kapoor, Kevin Klyman, Ashwin Ramaswami, Rishi Bommasani, Borhane Blili-Hamelin, Yangsibo Huang, Aviya Skowron, Zheng Xin Yong, Suhas Kotha, Yi Zeng, Weiyan Shi, Xianjun Yang, Reid Southen, Alexander Robey, Patrick Chao, Diyi Yang, Ruoxi Jia, Daniel Kang, Sandy Pentland, Arvind Narayanan, Percy Liang, Peter Henderson:
A Safe Harbor for AI Evaluation and Red Teaming. CoRR abs/2403.04893 (2024) - [i22]Yutong He, Alexander Robey, Naoki Murata, Yiding Jiang, Joshua Williams, George J. Pappas, Hamed Hassani, Yuki Mitsufuji, Ruslan Salakhutdinov, J. Zico Kolter:
Automated Black-box Prompt Engineering for Personalized Text-to-Image Generation. CoRR abs/2403.19103 (2024) - [i21]Patrick Chao, Edoardo Debenedetti, Alexander Robey, Maksym Andriushchenko, Francesco Croce, Vikash Sehwag, Edgar Dobriban, Nicolas Flammarion, George J. Pappas, Florian Tramèr, Hamed Hassani, Eric Wong:
JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models. CoRR abs/2404.01318 (2024) - 2023
- [j1]Edgar Dobriban, Hamed Hassani, David Hong, Alexander Robey:
Provable Tradeoffs in Adversarially Robust Classification. IEEE Trans. Inf. Theory 69(12): 7793-7822 (2023) - [c13]Haoze Wu, Teruhiro Tagomori, Alexander Robey, Fengjun Yang, Nikolai Matni, George J. Pappas, Hamed Hassani, Corina S. Pasareanu, Clark W. Barrett:
Toward Certified Robustness Against Real-World Distribution Shifts. SaTML 2023: 537-553 - [i20]Alexander Robey, Fabian Latorre, George J. Pappas, Hamed Hassani, Volkan Cevher:
Adversarial Training Should Be Cast as a Non-Zero-Sum Game. CoRR abs/2306.11035 (2023) - [i19]Alexander Robey, Eric Wong, Hamed Hassani, George J. Pappas:
SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks. CoRR abs/2310.03684 (2023) - [i18]Patrick Chao, Alexander Robey, Edgar Dobriban, Hamed Hassani, George J. Pappas, Eric Wong:
Jailbreaking Black Box Large Language Models in Twenty Queries. CoRR abs/2310.08419 (2023) - [i17]Thomas Waite, Alexander Robey, Hamed Hassani, George J. Pappas, Radoslav Ivanov:
Data-Driven Modeling and Verification of Perception-Based Autonomous Systems. CoRR abs/2312.06848 (2023) - 2022
- [c12]Anton Xue, Lars Lindemann, Alexander Robey, Hamed Hassani, George J. Pappas, Rajeev Alur:
Chordal Sparsity for Lipschitz Constant Estimation of Deep Neural Networks. CDC 2022: 3389-3396 - [c11]Allan Zhou, Fahim Tajwar, Alexander Robey, Tom Knowles, George J. Pappas, Hamed Hassani, Chelsea Finn:
Do deep networks transfer invariances across classes? ICLR 2022 - [c10]Alexander Robey, Luiz F. O. Chamon, George J. Pappas, Hamed Hassani:
Probabilistically Robust Learning: Balancing Average and Worst-case Performance. ICML 2022: 18667-18686 - [c9]Stephen Tu, Alexander Robey, Tingnan Zhang, Nikolai Matni:
On the Sample Complexity of Stability Constrained Imitation Learning. L4DC 2022: 180-191 - [c8]Cian Eastwood, Alexander Robey, Shashank Singh, Julius von Kügelgen, Hamed Hassani, George J. Pappas, Bernhard Schölkopf:
Probable Domain Generalization via Quantile Risk Minimization. NeurIPS 2022 - [i16]Alexander Robey, Luiz F. O. Chamon, George J. Pappas, Hamed Hassani:
Probabilistically Robust Learning: Balancing Average- and Worst-case Performance. CoRR abs/2202.01136 (2022) - [i15]Allan Zhou, Fahim Tajwar, Alexander Robey, Tom Knowles, George J. Pappas, Hamed Hassani, Chelsea Finn:
Do Deep Networks Transfer Invariances Across Classes? CoRR abs/2203.09739 (2022) - [i14]Anton Xue, Lars Lindemann, Alexander Robey, Hamed Hassani, George J. Pappas, Rajeev Alur:
Chordal Sparsity for Lipschitz Constant Estimation of Deep Neural Networks. CoRR abs/2204.00846 (2022) - [i13]Haoze Wu, Teruhiro Tagomori, Alexander Robey, Fengjun Yang, Nikolai Matni, George J. Pappas, Hamed Hassani, Corina S. Pasareanu, Clark W. Barrett:
Toward Certified Robustness Against Real-World Distribution Shifts. CoRR abs/2206.03669 (2022) - [i12]Cian Eastwood, Alexander Robey, Shashank Singh, Julius von Kügelgen, Hamed Hassani, George J. Pappas, Bernhard Schölkopf:
Probable Domain Generalization via Quantile Risk Minimization. CoRR abs/2207.09944 (2022) - 2021
- [c7]Alexander Robey, Lars Lindemann, Stephen Tu, Nikolai Matni:
Learning Robust Hybrid Control Barrier Functions for Uncertain Systems. ADHS 2021: 1-6 - [c6]Alexander Robey, Arman Adibi, Brent Schlotfeldt, Hamed Hassani, George J. Pappas:
Optimal Algorithms for Submodular Maximization with Distributed Constraints. L4DC 2021: 150-162 - [c5]Alexander Robey, Luiz F. O. Chamon, George J. Pappas, Hamed Hassani, Alejandro Ribeiro:
Adversarial Robustness with Semi-Infinite Constrained Learning. NeurIPS 2021: 6198-6215 - [c4]Alexander Robey, George J. Pappas, Hamed Hassani:
Model-Based Domain Generalization. NeurIPS 2021: 20210-20229 - [i11]Alexander Robey, Lars Lindemann, Stephen Tu, Nikolai Matni:
Learning Robust Hybrid Control Barrier Functions for Uncertain Systems. CoRR abs/2101.06492 (2021) - [i10]Stephen Tu, Alexander Robey, Nikolai Matni:
Closing the Closed-Loop Distribution Shift in Safe Imitation Learning. CoRR abs/2102.09161 (2021) - [i9]Alexander Robey, George J. Pappas, Hamed Hassani:
Model-Based Domain Generalization. CoRR abs/2102.11436 (2021) - [i8]Alexander Robey, Luiz F. O. Chamon, George J. Pappas, Hamed Hassani, Alejandro Ribeiro:
Adversarial Robustness with Semi-Infinite Constrained Learning. CoRR abs/2110.15767 (2021) - [i7]Lars Lindemann, Alexander Robey, Lejun Jiang, Stephen Tu, Nikolai Matni:
Learning Robust Output Control Barrier Functions from Safe Expert Demonstrations. CoRR abs/2111.09971 (2021) - 2020
- [c3]Alexander Robey, Haimin Hu, Lars Lindemann, Hanwen Zhang, Dimos V. Dimarogonas, Stephen Tu, Nikolai Matni:
Learning Control Barrier Functions from Expert Demonstrations. CDC 2020: 3717-3724 - [c2]Lars Lindemann, Haimin Hu, Alexander Robey, Hanwen Zhang, Dimos V. Dimarogonas, Stephen Tu, Nikolai Matni:
Learning Hybrid Control Barrier Functions from Data. CoRL 2020: 1351-1370 - [i6]Alexander Robey, Haimin Hu, Lars Lindemann, Hanwen Zhang, Dimos V. Dimarogonas, Stephen Tu, Nikolai Matni:
Learning Control Barrier Functions from Expert Demonstrations. CoRR abs/2004.03315 (2020) - [i5]Alexander Robey, Hamed Hassani, George J. Pappas:
Model-Based Robust Deep Learning. CoRR abs/2005.10247 (2020) - [i4]Edgar Dobriban, Hamed Hassani, David Hong, Alexander Robey:
Provable tradeoffs in adversarially robust classification. CoRR abs/2006.05161 (2020) - [i3]Lars Lindemann, Haimin Hu, Alexander Robey, Hanwen Zhang, Dimos V. Dimarogonas, Stephen Tu, Nikolai Matni:
Learning Hybrid Control Barrier Functions from Data. CoRR abs/2011.04112 (2020)
2010 – 2019
- 2019
- [c1]Mahyar Fazlyab, Alexander Robey, Hamed Hassani, Manfred Morari, George J. Pappas:
Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks. NeurIPS 2019: 11423-11434 - [i2]Mahyar Fazlyab, Alexander Robey, Hamed Hassani, Manfred Morari, George J. Pappas:
Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks. CoRR abs/1906.04893 (2019) - [i1]Alexander Robey, Arman Adibi, Brent Schlotfeldt, George J. Pappas, Hamed Hassani:
Optimal Algorithms for Submodular Maximization with Distributed Constraints. CoRR abs/1909.13676 (2019)
Coauthor Index
aka: Hamed Hassani
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