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FAST IS BETTER THAN FREE: REVISITING ADVERSARIAL TRAINING

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Jan 24 2020 Ian Goodfellow

When I invented adversarial training as a defense against adversarial examples, I focused on making it as cheap and scalable as possible. Eric and collaborators have now upgraded the original cheap version to compete with newer, more expensive versions.
8 replies, 673 likes


Jan 15 2020 Eric Wong

1/ New paper on an old topic: turns out, FGSM works as well as PGD for adversarial training!* *Just avoid catastrophic overfitting, as seen in picture Paper: https://arxiv.org/abs/2001.03994 Code: https://github.com/locuslab/fast_adversarial Joint work with @_leslierice and @zicokolter to be at #ICLR2020 https://t.co/2EmwFaX7Qp
3 replies, 247 likes


Jan 15 2020 Machine Learning Department at CMU

Fast is better than free: Revisiting adversarial training by Eric Wong, Leslie Rice, and J. Zico Kolter. Paper: http://arxiv.org/abs/2001.0399 Code: https://mld.ai/5b3 #ICLR2020 #mldcmu #cmuai #adversarialtraining #deepneuralnetworks #FGSM #CIFAR10
1 replies, 11 likes


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