Interpolated Adversarial Training: Achieving robust neural networks without sacrificing too much accuracy - researchr publication authors

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Alex Lamb, Vikas Verma, Kenji Kawaguchi, Alexander Matyasko, Savya Khosla, Juho Kannala, Yoshua Bengio. Interpolated Adversarial Training: Achieving robust neural networks without sacrificing too much accuracy. Neural Networks, 154:218-233, 2022. [doi]

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