Alexander Robey

67 papers A* 10Misc 1Journal 48Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Antidistillation Fingerprinting. CoRR Yixuan Even Xu, John Kirchenbauer, Yash Savani, Asher Trockman, Alexander Robey, Tom Goldstein, Fei Fang, J. Zico Kolter
2026	J	`jnl`	Contextual Safety Reasoning and Grounding for Open-World Robots. CoRR Zachary Ravichandran, David Snyder, Alexander Robey, Hamed Hassani, Vijay Kumar, George J. Pappas
2026	J	`jnl`	Safety Guardrails for LLM-Enabled Robots. IEEE Robotics Autom. Lett. Zachary Ravichandran, Alexander Robey, Vijay Kumar, George J. Pappas, Hamed Hassani
2026	J	`jnl`	Steering Dialogue Dynamics for Robustness against Multi-turn Jailbreaking Attacks. Trans. Mach. Learn. Res. Hanjiang Hu, Alexander Robey, Changliu Liu
2026	J	`jnl`	When Should We Introduce Safety Interventions During Pretraining? CoRR Dylan Sam, Sachin Goyal, Pratyush Maini, Alexander Robey, J. Zico Kolter
2025	J	`jnl`	Adversarial Attacks on Robotic Vision Language Action Models. CoRR Eliot Krzysztof Jones, Alexander Robey, Andy Zou, Zachary Ravichandran, George J. Pappas, Hamed Hassani, Matt Fredrikson, J. Zico Kolter
2025	J	`jnl`	Algorithms for Adversarially Robust Deep Learning. CoRR Alexander Robey
2025	J	`jnl`	Antidistillation Sampling. CoRR Yash Savani, Asher Trockman, Zhili Feng, Yixuan Even Xu, Avi Schwarzschild, Alexander Robey, Marc Finzi, J. Zico Kolter
2025	J	`jnl`	Automated Black-box Prompt Engineering for Personalized Text-to-Image Generation. Trans. Mach. Learn. Res. Yutong He, Alexander Robey, Naoki Murata, Yiding Jiang, Joshua Nathaniel Williams, George J. Pappas, Hamed Hassani, Yuki Mitsufuji, Ruslan Salakhutdinov, J. Zico Kolter
2025	J	`jnl`	Benchmarking Misuse Mitigation Against Covert Adversaries. CoRR Davis Brown, Mahdi Sabbaghi, Luze Sun, Alexander Robey, George J. Pappas, Eric Wong, Hamed Hassani
2025	J	`jnl`	Command-V: Pasting LLM Behaviors via Activation Profiles. CoRR Barry Wang, Avi Schwarzschild, Alexander Robey, Ali Payani, Charles Fleming, Mingjie Sun, Daphne Ippolito
2025	—	`conf`	Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing. IJCNLP-AACL (Short Papers) Jiabao Ji, Bairu Hou, Alexander Robey, George J. Pappas, Hamed Hassani, Yang Zhang, Eric Wong, Shiyu Chang
2025	J	`jnl`	Embodied AI: Emerging Risks and Opportunities for Policy Action. CoRR Jared Perlo, Alexander Robey, Fazl Barez, Luciano Floridi, Jakob Mökander
2025	J	`jnl`	Evaluating Language Model Reasoning about Confidential Information. CoRR Dylan Sam, Alexander Robey, Andy Zou, Matt Fredrikson, J. Zico Kolter
2025	J	`jnl`	Existing Large Language Model Unlearning Evaluations Are Inconclusive. CoRR Zhili Feng, Yixuan Even Xu, Alexander Robey, Robert Kirk, Xander Davies, Yarin Gal, Avi Schwarzschild, J. Zico Kolter
2025	—	`conf`	Jailbreaking Black Box Large Language Models in Twenty Queries. SaTML Patrick Chao, Alexander Robey, Edgar Dobriban, Hamed Hassani, George J. Pappas, Eric Wong
2025	A*	`conf`	Jailbreaking LLM-Controlled Robots. ICRA Alexander Robey, Zachary Ravichandran, Vijay Kumar, Hamed Hassani, George J. Pappas
2025	J	`jnl`	Jailbreaking in the Haystack. CoRR Rishi Rajesh Shah, Chen Henry Wu, Shashwat Saxena, Ziqian Zhong, Alexander Robey, Aditi Raghunathan
2025	J	`jnl`	Preventing Robotic Jailbreaking via Multimodal Domain Adaptation. CoRR Francesco Marchiori, Rohan Sinha, Christopher Agia, Alexander Robey, George J. Pappas, Mauro Conti, Marco Pavone
2025	J	`jnl`	Safety Guardrails for LLM-Enabled Robots. CoRR Zachary Ravichandran, Alexander Robey, Vijay Kumar, George J. Pappas, Hamed Hassani
2025	J	`jnl`	Safety Pretraining: Toward the Next Generation of Safe AI. CoRR Pratyush Maini, Sachin Goyal, Dylan Sam, Alexander Robey, Yash Savani, Yiding Jiang, Andy Zou, Zacharcy C. Lipton, J. Zico Kolter
2025	J	`jnl`	SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks. Trans. Mach. Learn. Res. Alexander Robey, Eric Wong, Hamed Hassani, George J. Pappas
2025	J	`jnl`	Steering Dialogue Dynamics for Robustness against Multi-turn Jailbreaking Attacks. CoRR Hanjiang Hu, Alexander Robey, Changliu Liu
2025	J	`jnl`	Toward Understanding the Transferability of Adversarial Suffixes in Large Language Models. CoRR Sarah Ball, Niki Hasrati, Alexander Robey, Avi Schwarzschild, Frauke Kreuter, Zico Kolter, Andrej Risteski
2025	J	`jnl`	Transferable Adversarial Attacks on Black-Box Vision-Language Models. CoRR Kai Hu, Weichen Yu, Li Zhang, Alexander Robey, Andy Zou, Chengming Xu, Haoqi Hu, Matt Fredrikson
2024	J	`jnl`	A Safe Harbor for AI Evaluation and Red Teaming. CoRR 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
2024	A*	`conf`	Adversarial Training Should Be Cast as a Non-Zero-Sum Game. ICLR Alexander Robey, Fabian Latorre, George J. Pappas, Hamed Hassani, Volkan Cevher
2024	J	`jnl`	Automated Black-box Prompt Engineering for Personalized Text-to-Image Generation. CoRR Yutong He, Alexander Robey, Naoki Murata, Yiding Jiang, Joshua Williams, George J. Pappas, Hamed Hassani, Yuki Mitsufuji, Ruslan Salakhutdinov, J. Zico Kolter
2024	J	`jnl`	Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing. CoRR Jiabao Ji, Bairu Hou, Alexander Robey, George J. Pappas, Hamed Hassani, Yang Zhang, Eric Wong, Shiyu Chang
2024	A*	`conf`	JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models. NeurIPS 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
2024	J	`jnl`	JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models. CoRR 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
2024	J	`jnl`	Jailbreaking LLM-Controlled Robots. CoRR Alexander Robey, Zachary Ravichandran, Vijay Kumar, Hamed Hassani, George J. Pappas
2024	A*	`conf`	Position: A Safe Harbor for AI Evaluation and Red Teaming. ICML 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
2023	J	`jnl`	Adversarial Training Should Be Cast as a Non-Zero-Sum Game. CoRR Alexander Robey, Fabian Latorre, George J. Pappas, Hamed Hassani, Volkan Cevher
2023	J	`jnl`	Data-Driven Modeling and Verification of Perception-Based Autonomous Systems. CoRR Thomas Waite, Alexander Robey, Hamed Hassani, George J. Pappas, Radoslav Ivanov
2023	J	`jnl`	Jailbreaking Black Box Large Language Models in Twenty Queries. CoRR Patrick Chao, Alexander Robey, Edgar Dobriban, Hamed Hassani, George J. Pappas, Eric Wong
2023	J	`jnl`	Provable Tradeoffs in Adversarially Robust Classification. IEEE Trans. Inf. Theory Edgar Dobriban, Hamed Hassani, David Hong, Alexander Robey
2023	J	`jnl`	SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks. CoRR Alexander Robey, Eric Wong, Hamed Hassani, George J. Pappas
2023	—	`conf`	Toward Certified Robustness Against Real-World Distribution Shifts. SaTML Haoze Wu, Teruhiro Tagomori, Alexander Robey, Fengjun Yang, Nikolai Matni, George J. Pappas, Hamed Hassani, Corina S. Pasareanu, Clark W. Barrett
2022	—	`conf`	Chordal Sparsity for Lipschitz Constant Estimation of Deep Neural Networks. CDC Anton Xue, Lars Lindemann, Alexander Robey, Hamed Hassani, George J. Pappas, Rajeev Alur
2022	J	`jnl`	Chordal Sparsity for Lipschitz Constant Estimation of Deep Neural Networks. CoRR Anton Xue, Lars Lindemann, Alexander Robey, Hamed Hassani, George J. Pappas, Rajeev Alur
2022	J	`jnl`	Do Deep Networks Transfer Invariances Across Classes? CoRR Allan Zhou, Fahim Tajwar, Alexander Robey, Tom Knowles, George J. Pappas, Hamed Hassani, Chelsea Finn
2022	A*	`conf`	Do deep networks transfer invariances across classes? ICLR Allan Zhou, Fahim Tajwar, Alexander Robey, Tom Knowles, George J. Pappas, Hamed Hassani, Chelsea Finn
2022	—	`conf`	On the Sample Complexity of Stability Constrained Imitation Learning. L4DC Stephen Tu, Alexander Robey, Tingnan Zhang, Nikolai Matni
2022	A*	`conf`	Probabilistically Robust Learning: Balancing Average and Worst-case Performance. ICML Alexander Robey, Luiz F. O. Chamon, George J. Pappas, Hamed Hassani
2022	J	`jnl`	Probabilistically Robust Learning: Balancing Average- and Worst-case Performance. CoRR Alexander Robey, Luiz F. O. Chamon, George J. Pappas, Hamed Hassani
2022	A*	`conf`	Probable Domain Generalization via Quantile Risk Minimization. NeurIPS Cian Eastwood, Alexander Robey, Shashank Singh, Julius von Kügelgen, Hamed Hassani, George J. Pappas, Bernhard Schölkopf
2022	J	`jnl`	Probable Domain Generalization via Quantile Risk Minimization. CoRR Cian Eastwood, Alexander Robey, Shashank Singh, Julius von Kügelgen, Hamed Hassani, George J. Pappas, Bernhard Schölkopf
2022	J	`jnl`	Toward Certified Robustness Against Real-World Distribution Shifts. CoRR Haoze Wu, Teruhiro Tagomori, Alexander Robey, Fengjun Yang, Nikolai Matni, George J. Pappas, Hamed Hassani, Corina S. Pasareanu, Clark W. Barrett
2021	A*	`conf`	Adversarial Robustness with Semi-Infinite Constrained Learning. NeurIPS Alexander Robey, Luiz F. O. Chamon, George J. Pappas, Hamed Hassani, Alejandro Ribeiro
2021	J	`jnl`	Adversarial Robustness with Semi-Infinite Constrained Learning. CoRR Alexander Robey, Luiz F. O. Chamon, George J. Pappas, Hamed Hassani, Alejandro Ribeiro
2021	J	`jnl`	Closing the Closed-Loop Distribution Shift in Safe Imitation Learning. CoRR Stephen Tu, Alexander Robey, Nikolai Matni
2021	—	`conf`	Learning Robust Hybrid Control Barrier Functions for Uncertain Systems. ADHS Alexander Robey, Lars Lindemann, Stephen Tu, Nikolai Matni
2021	J	`jnl`	Learning Robust Hybrid Control Barrier Functions for Uncertain Systems. CoRR Alexander Robey, Lars Lindemann, Stephen Tu, Nikolai Matni
2021	J	`jnl`	Learning Robust Output Control Barrier Functions from Safe Expert Demonstrations. CoRR Lars Lindemann, Alexander Robey, Lejun Jiang, Stephen Tu, Nikolai Matni
2021	A*	`conf`	Model-Based Domain Generalization. NeurIPS Alexander Robey, George J. Pappas, Hamed Hassani
2021	J	`jnl`	Model-Based Domain Generalization. CoRR Alexander Robey, George J. Pappas, Hamed Hassani
2021	—	`conf`	Optimal Algorithms for Submodular Maximization with Distributed Constraints. L4DC Alexander Robey, Arman Adibi, Brent Schlotfeldt, Hamed Hassani, George J. Pappas
2020	—	`conf`	Learning Control Barrier Functions from Expert Demonstrations. CDC Alexander Robey, Haimin Hu, Lars Lindemann, Hanwen Zhang, Dimos V. Dimarogonas, Stephen Tu, Nikolai Matni
2020	J	`jnl`	Learning Control Barrier Functions from Expert Demonstrations. CoRR Alexander Robey, Haimin Hu, Lars Lindemann, Hanwen Zhang, Dimos V. Dimarogonas, Stephen Tu, Nikolai Matni
2020	Misc	`conf`	Learning Hybrid Control Barrier Functions from Data. CoRL Lars Lindemann, Haimin Hu, Alexander Robey, Hanwen Zhang, Dimos V. Dimarogonas, Stephen Tu, Nikolai Matni
2020	J	`jnl`	Learning Hybrid Control Barrier Functions from Data. CoRR Lars Lindemann, Haimin Hu, Alexander Robey, Hanwen Zhang, Dimos V. Dimarogonas, Stephen Tu, Nikolai Matni
2020	J	`jnl`	Model-Based Robust Deep Learning. CoRR Alexander Robey, Hamed Hassani, George J. Pappas
2020	J	`jnl`	Provable tradeoffs in adversarially robust classification. CoRR Edgar Dobriban, Hamed Hassani, David Hong, Alexander Robey
2019	A*	`conf`	Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks. NeurIPS Mahyar Fazlyab, Alexander Robey, Hamed Hassani, Manfred Morari, George J. Pappas
2019	J	`jnl`	Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks. CoRR Mahyar Fazlyab, Alexander Robey, Hamed Hassani, Manfred Morari, George J. Pappas
2019	J	`jnl`	Optimal Algorithms for Submodular Maximization with Distributed Constraints. CoRR Alexander Robey, Arman Adibi, Brent Schlotfeldt, George J. Pappas, Hamed Hassani