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Alex Robey
Alex Robey
seas.upenn.edu의 이메일 확인됨 - 홈페이지
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Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks
M Fazlyab, A Robey, H Hassani, M Morari, G Pappas
Advances in Neural Information Processing Systems (NeurIPS 2019), 2019
4042019
Learning Control Barrier Functions from Expert Demonstrations
A Robey*, H Hu*, L Lindemann, H Zhang, DV Dimarogonas, S Tu, ...
59th IEEE Conference on Decision and Control (CDC 2020), 2020
1772020
Model-Based Domain Generalization
A Robey, GJ Pappas, H Hassani
Advances in Neural Information Processing Systems (NeurIPS 2021), 2021
1052021
Jailbreaking Black Box Large Language Models in Twenty Queries
P Chao, A Robey, E Dobriban, H Hassani, GJ Pappas, E Wong
arXiv preprint arXiv:2310.08419, 2023
692023
Model-Based Robust Deep Learning: Generalizing to Natural, Out-of-Distribution Data
A Robey, H Hassani, GJ Pappas
arXiv preprint arXiv:2005.10247, 2020
592020
Provable Tradeoffs in Adversarially Robust Classification
E Dobriban, H Hassani, D Hong, A Robey
IEEE Transactions on Information Theory, 2020
572020
Learning Hybrid Control Barrier Functions from Data
L Lindemann, H Hu, A Robey, H Zhang, DV Dimarogonas, S Tu, N Matni
4th Conference on Robot Learning (CoRL 2020), 2020
422020
SmoothLLM: Defending Large Language Models against Jailbreaking Attacks
A Robey, E Wong, H Hassani, GJ Pappas
arXiv preprint arXiv:2310.03684, 2023
412023
On the Sample Complexity of Stability Constrained Imitation Learning
S Tu, A Robey, T Zhang, N Matni
Learning for Dynamics and Control Conference (L4DC 2022), 2022
382022
Adversarial Robustness with Semi-Infinite Constrained Learning
A Robey*, L Chamon*, GJ Pappas, H Hassani, A Ribeiro
Advances in Neural Information Processing Systems (NeurIPS 2021), 2021
342021
Probable Domain Generalization via Quantile Risk Minimization
C Eastwood*, A Robey*, S Singh, J von Kügelgen, H Hassani, GJ Pappas, ...
Advances in Neural Information Processing Systems (NeurIPS 2022), 2022
332022
Learning Robust Hybrid Control Barrier Functions for Uncertain Systems
A Robey*, L Lindemann*, S Tu, N Matni
7th IFAC Conference on Analysis and Design of Hybrid Systems (ADHS 2021), 2021
332021
Learning Robust Output Control Barrier Functions from Safe Expert Demonstrations
L Lindemann, A Robey, L Jiang, S Das, S Tu, N Matni
arXiv preprint arXiv:2111.09971, 2021
242021
Probabilistically Robust Learning: Balancing Average- and Worst-case Performance
A Robey, LFO Chamon, GJ Pappas, H Hassani
International Conference on Machine Learning (ICML 2022), 2022
222022
Optimal Physical Preprocessing for Example-Based Super-Resolution
A Robey, V Ganapati
Optics Express, 2018
222018
Optimal Algorithms for Submodular Maximization With Distributed Constraints
A Robey, A Adibi, B Schlotfeldt, H Hassani, GJ Pappas
Learning for Dynamics and Control (L4DC 2021), 2021
172021
Chordal Sparsity for Lipschitz Constant Estimation of Deep Neural Networks
A Xue, L Lindemann, A Robey, H Hassani, GJ Pappas, R Alur
61st IEEE Conference on Decision and Control (CDC 2022), 2022
132022
Toward Certified Robustness Against Real-World Distribution Shifts
H Wu*, T Tagomori*, A Robey*, F Yang*, N Matni, G Pappas, H Hassani, ...
IEEE Conference on Secure and Trustworthy Machine Learning (SaTML 2023), 2022
122022
Do Deep Networks Transfer Invariances Across Classes?
A Zhou*, F Tajwar*, A Robey, T Knowles, GJ Pappas, H Hassani, C Finn
International Conference on Learning Representations (ICLR 2022), 2022
122022
Closing the Closed-loop Distribution Shift in Safe Imitation Learning
S Tu, A Robey, N Matni
arXiv preprint arXiv:2102.09161, 2021
92021
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