Safer Classification by Synthesis

22 Nov 2017William WangAngelina WangAviv TamarXi ChenPieter Abbeel

The discriminative approach to classification using deep neural networks has become the de-facto standard in various fields. Complementing recent reservations about safety against adversarial examples, we show that conventional discriminative methods can easily be fooled to provide incorrect labels with very high confidence to out of distribution examples... (read more)

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