| Jailbreaking Black Box Large Language Models in Twenty Queries P Chao, A Robey, E Dobriban, H Hassani, GJ Pappas, E Wong SaTML 2025, 2023 | 1177 | 2023 |
| Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks M Fazlyab, A Robey, H Hassani, M Morari, G Pappas NeurIPS 2019, 2019 | 680 | 2019 |
| SmoothLLM: Defending Large Language Models against Jailbreaking Attacks A Robey, E Wong, H Hassani, GJ Pappas TMLR 2025, 2023 | 480 | 2023 |
| JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models P Chao*, E Debenedetti*, A Robey*, M Andriushchenko*, F Croce, ... NeurIPS 2024, 2024 | 471 | 2024 |
| Learning Control Barrier Functions from Expert Demonstrations A Robey*, H Hu*, L Lindemann, H Zhang, DV Dimarogonas, S Tu, ... CDC 2020, 2020 | 332 | 2020 |
| Model-Based Domain Generalization A Robey, GJ Pappas, H Hassani NeurIPS 2021, 2021 | 178 | 2021 |
| Probable Domain Generalization via Quantile Risk Minimization C Eastwood*, A Robey*, S Singh, J von Kügelgen, H Hassani, GJ Pappas, ... NeurIPS 2022, 2022 | 98 | 2022 |
| Model-Based Robust Deep Learning: Generalizing to Natural, Out-of-Distribution Data A Robey, H Hassani, GJ Pappas arXiv, 2020 | 92 | 2020 |
| Learning Hybrid Control Barrier Functions from Data L Lindemann, H Hu, A Robey, H Zhang, DV Dimarogonas, S Tu, N Matni CoRL 2020, 2020 | 90 | 2020 |
| Provable Tradeoffs in Adversarially Robust Classification E Dobriban, H Hassani, D Hong, A Robey Transactions on Information Theory 2023, 2020 | 86 | 2020 |
| Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing J Ji*, B Hou*, A Robey*, GJ Pappas, H Hassani, Y Zhang, E Wong, ... IJCNLP-AACL 2025, 2025 | 77 | 2025 |
| A Safe Harbor for AI Evaluation and Red Teaming S Longpre, S Kapoor, K Klyman, A Ramaswami, R Bommasani, ... ICML 2024, 2024 | 72* | 2024 |
| Learning Robust Output Control Barrier Functions from Safe Expert Demonstrations L Lindemann, A Robey, L Jiang, S Das, S Tu, N Matni OJCSYS 2024, 2021 | 72 | 2021 |
| Jailbreaking LLM-Controlled Robots A Robey, Z Ravichandran, V Kumar, H Hassani, GJ Pappas ICRA 2025, 2024 | 65 | 2024 |
| On the Sample Complexity of Stability Constrained Imitation Learning S Tu, A Robey, T Zhang, N Matni L4DC 2022, 2022 | 64* | 2022 |
| Adversarial Robustness with Semi-Infinite Constrained Learning A Robey*, L Chamon*, GJ Pappas, H Hassani, A Ribeiro NeurIPS 2021, 2021 | 57 | 2021 |
| Probabilistically Robust Learning: Balancing Average- and Worst-case Performance A Robey, LFO Chamon, GJ Pappas, H Hassani ICML 2022, 2022 | 55 | 2022 |
| Learning Robust Hybrid Control Barrier Functions for Uncertain Systems A Robey*, L Lindemann*, S Tu, N Matni ADHS 2021, 2021 | 50 | 2021 |
| Toward Certified Robustness Against Real-World Distribution Shifts H Wu*, T Tagomori*, A Robey*, F Yang*, N Matni, G Pappas, H Hassani, ... SaTML 2023, 2022 | 36 | 2022 |
| Optimal Algorithms for Submodular Maximization With Distributed Constraints A Robey, A Adibi, B Schlotfeldt, H Hassani, GJ Pappas L4DC 2021, 2021 | 26 | 2021 |
George PappasUPS Foundation Professor, Electrical and Systems Engineering, University of PennsylvaniaVerified email at seas.upenn.edu
