Carefully Blending Adversarial Training, Purification, and Aggregation Improves Adversarial Robustness

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Carefully Blending Adversarial Training, Purification, and Aggregation Improves Adversarial Robustness

20 February 2025

Emanuele Ballarin

Luca Bortolussi

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Papers citing "Carefully Blending Adversarial Training, Purification, and Aggregation Improves Adversarial Robustness"

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Title
Explaining and Harnessing Adversarial ExamplesInternational Conference on Learning Representations (ICLR), 2014 Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 1.3K 20,851 0 20 Dec 2014
Towards Deep Neural Network Architectures Robust to Adversarial ExamplesInternational Conference on Learning Representations (ICLR), 2014 S. Gu Luca Rigazio AAML 277 877 0 11 Dec 2014
Intriguing properties of neural networksInternational Conference on Learning Representations (ICLR), 2013 Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 607 15,903 1 21 Dec 2013