Adversarial Examples and Adversarial Training

May 30, 2017 · Adversarial Training of other Models • Linear models: SVM / linear regression cannot learn a step function, so adversarial training is less useful, very similar to weight decay • k-NN: adversarial training is prone to overfitting. • Takeway: neural nets can actually become more secure than other models. Adversarially trained

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proceedings.neurips.cc

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noiselab.ucsd.edu

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nvlpubs.nist.gov

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openaccess.thecvf.com

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en.unesco.org

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