Alexander Robey

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 39

Top Topics

Top Venues

Publications

Alexander Robey, Fabian Latorre, George J. Pappas, Hamed Hassani, Volkan Cevher
Adversarial Training Should Be Cast as a Non-Zero-Sum Game. ICLR (2024)
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 (2024)
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 (2024)
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 (2024)
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 (2024)
Thomas Waite, Alexander Robey, Hamed Hassani, George J. Pappas, Radoslav Ivanov
Data-Driven Modeling and Verification of Perception-Based Autonomous Systems. CoRR (2023)
Alexander Robey, Fabian Latorre, George J. Pappas, Hamed Hassani, Volkan Cevher
Adversarial Training Should Be Cast as a Non-Zero-Sum Game. CoRR (2023)
Edgar Dobriban, Hamed Hassani, David Hong, Alexander Robey
Provable Tradeoffs in Adversarially Robust Classification. IEEE Trans. Inf. Theory 69 (12) (2023)
Patrick Chao, Alexander Robey, Edgar Dobriban, Hamed Hassani, George J. Pappas, Eric Wong
Jailbreaking Black Box Large Language Models in Twenty Queries. CoRR (2023)
Alexander Robey, Eric Wong, Hamed Hassani, George J. Pappas
SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks. CoRR (2023)
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)
Allan Zhou, Fahim Tajwar, Alexander Robey, Tom Knowles, George J. Pappas, Hamed Hassani, Chelsea Finn
Do deep networks transfer invariances across classes? ICLR (2022)
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)
Allan Zhou, Fahim Tajwar, Alexander Robey, Tom Knowles, George J. Pappas, Hamed Hassani, Chelsea Finn
Do Deep Networks Transfer Invariances Across Classes? CoRR (2022)
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 (2022)
Alexander Robey, Luiz F. O. Chamon, George J. Pappas, Hamed Hassani
Probabilistically Robust Learning: Balancing Average and Worst-case Performance. ICML (2022)
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)
Anton Xue, Lars Lindemann, Alexander Robey, Hamed Hassani, George J. Pappas, Rajeev Alur
Chordal Sparsity for Lipschitz Constant Estimation of Deep Neural Networks. CoRR (2022)
Stephen Tu, Alexander Robey, Tingnan Zhang, Nikolai Matni
On the Sample Complexity of Stability Constrained Imitation Learning. L4DC (2022)
Cian Eastwood, Alexander Robey, Shashank Singh, Julius von Kügelgen, Hamed Hassani, George J. Pappas, Bernhard Schölkopf
Probable Domain Generalization via Quantile Risk Minimization. CoRR (2022)
Alexander Robey, Luiz F. O. Chamon, George J. Pappas, Hamed Hassani
Probabilistically Robust Learning: Balancing Average- and Worst-case Performance. CoRR (2022)
Alexander Robey, Arman Adibi, Brent Schlotfeldt, Hamed Hassani, George J. Pappas
Optimal Algorithms for Submodular Maximization with Distributed Constraints. L4DC (2021)
Alexander Robey, George J. Pappas, Hamed Hassani
Model-Based Domain Generalization. CoRR (2021)
Alexander Robey, Luiz F. O. Chamon, George J. Pappas, Hamed Hassani, Alejandro Ribeiro
Adversarial Robustness with Semi-Infinite Constrained Learning. CoRR (2021)
Alexander Robey, Lars Lindemann, Stephen Tu, Nikolai Matni
Learning Robust Hybrid Control Barrier Functions for Uncertain Systems. ADHS (2021)
Stephen Tu, Alexander Robey, Nikolai Matni
Closing the Closed-Loop Distribution Shift in Safe Imitation Learning. CoRR (2021)
Alexander Robey, Lars Lindemann, Stephen Tu, Nikolai Matni
Learning Robust Hybrid Control Barrier Functions for Uncertain Systems. CoRR (2021)
Lars Lindemann, Alexander Robey, Lejun Jiang, Stephen Tu, Nikolai Matni
Learning Robust Output Control Barrier Functions from Safe Expert Demonstrations. CoRR (2021)
Alexander Robey, George J. Pappas, Hamed Hassani
Model-Based Domain Generalization. NeurIPS (2021)
Alexander Robey, Luiz F. O. Chamon, George J. Pappas, Hamed Hassani, Alejandro Ribeiro
Adversarial Robustness with Semi-Infinite Constrained Learning. NeurIPS (2021)
Edgar Dobriban, Hamed Hassani, David Hong, Alexander Robey
Provable tradeoffs in adversarially robust classification. CoRR (2020)
Alexander Robey, Haimin Hu, Lars Lindemann, Hanwen Zhang, Dimos V. Dimarogonas, Stephen Tu, Nikolai Matni
Learning Control Barrier Functions from Expert Demonstrations. CoRR (2020)
Alexander Robey, Hamed Hassani, George J. Pappas
Model-Based Robust Deep Learning. CoRR (2020)
Alexander Robey, Haimin Hu, Lars Lindemann, Hanwen Zhang, Dimos V. Dimarogonas, Stephen Tu, Nikolai Matni
Learning Control Barrier Functions from Expert Demonstrations. CDC (2020)
Lars Lindemann, Haimin Hu, Alexander Robey, Hanwen Zhang, Dimos V. Dimarogonas, Stephen Tu, Nikolai Matni
Learning Hybrid Control Barrier Functions from Data. CoRR (2020)
Lars Lindemann, Haimin Hu, Alexander Robey, Hanwen Zhang, Dimos V. Dimarogonas, Stephen Tu, Nikolai Matni
Learning Hybrid Control Barrier Functions from Data. CoRL (2020)
Mahyar Fazlyab, Alexander Robey, Hamed Hassani, Manfred Morari, George J. Pappas
Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks. NeurIPS (2019)
Alexander Robey, Arman Adibi, Brent Schlotfeldt, George J. Pappas, Hamed Hassani
Optimal Algorithms for Submodular Maximization with Distributed Constraints. CoRR (2019)
Mahyar Fazlyab, Alexander Robey, Hamed Hassani, Manfred Morari, George J. Pappas
Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks. CoRR (2019)