Ameya D. Patil

activity

20162021

most citedCompressing GANs using Knowledge Distillation

61 citations · 97 across the 5 of their papers we have counts for

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cs.LG2021

Robustifying $ℓ_{\infty}$ Adversarial Training to the Union of Perturbation Models

Ameya D. Patil, Michael Tuttle, Alexander G. Schwing +1

Classical adversarial training (AT) frameworks are designed to achieve high adversarial accuracy against a single attack type, typically $ℓ_{\infty}$ norm-bounded perturbations. R…

cs.LG2019★ 61 cited

Compressing GANs using Knowledge Distillation

Angeline Aguinaldo, Ping-Yeh Chiang, Alex Gain +3

Generative Adversarial Networks (GANs) have been used in several machine learning tasks such as domain transfer, super resolution, and synthetic data generation. State-of-the-art G…

Robustifying ℓ∞​ Adversarial Training to the Union of Perturbation Models

Compressing GANs using Knowledge Distillation

Robustifying $ℓ_{\infty}$ Adversarial Training to the Union of Perturbation Models