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Alex Robey
Alex Robey
Verified email at seas.upenn.edu - Homepage
Title
Cited by
Cited by
Year
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
3722019
Learning control barrier functions from expert demonstrations
A Robey, H Hu, L Lindemann, H Zhang, DV Dimarogonas, S Tu, N Matni
59th IEEE Conference on Decision and Control (CDC 2020), 2020
1522020
Model-based domain generalization
A Robey, GJ Pappas, H Hassani
Advances in Neural Information Processing Systems (NeurIPS 2021), 2021
952021
Model-Based Robust Deep Learning: Generalizing to Natural, Out-of-Distribution Data
A Robey, H Hassani, GJ Pappas
arXiv preprint arXiv:2005.10247, 2020
572020
Provable tradeoffs in adversarially robust classification
E Dobriban, H Hassani, D Hong, A Robey
IEEE Transactions on Information Theory, 2020
522020
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
352020
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
322022
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
322021
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
292021
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
212022
Optimal physical preprocessing for example-based super-resolution
A Robey, V Ganapati
Optics Express, 2018
212018
Learning robust output control barrier functions from safe expert demonstrations
L Lindemann, A Robey, L Jiang, S Tu, N Matni
arXiv preprint arXiv:2111.09971, 2021
202021
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
192022
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
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
112022
Smoothllm: Defending large language models against jailbreaking attacks
A Robey, E Wong, H Hassani, GJ Pappas
arXiv preprint arXiv:2310.03684, 2023
92023
Closing the closed-loop distribution shift in safe imitation learning
S Tu, A Robey, N Matni
arXiv preprint arXiv:2102.09161, 2021
92021
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
82022
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
82022
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
62023
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