Sihui Dai

According to our database1, Sihui Dai authored at least 13 papers between 2019 and 2024.

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Bibliography

2024
Position Paper: Beyond Robustness Against Single Attack Types.
CoRR, 2024

Larimar: Large Language Models with Episodic Memory Control.
CoRR, 2024

PatchCURE: Improving Certifiable Robustness, Model Utility, and Computation Efficiency of Adversarial Patch Defenses.
Proceedings of the 33rd USENIX Security Symposium, 2024

Larimar: Large Language Models with Episodic Memory Control.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Characterizing the Optimal 0-1 Loss for Multi-class Classification with a Test-time Attacker.
CoRR, 2023

Characterizing the Optimal 0-1 Loss for Multi-class Classification with a Test-time Attacker.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

MultiRobustBench: Benchmarking Robustness Against Multiple Attacks.
Proceedings of the International Conference on Machine Learning, 2023

2022
Parameterizing Activation Functions for Adversarial Robustness.
Proceedings of the 43rd IEEE Security and Privacy, 2022

Formulating Robustness Against Unforeseen Attacks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness?
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Improving Adversarial Robustness Using Proxy Distributions.
CoRR, 2021

2020
Neural Networks with Recurrent Generative Feedback.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Out-of-Distribution Detection Using Neural Rendering Generative Models.
CoRR, 2019


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