Towards Safe Deep Learning: Unsupervised Defense Against Generic Adversarial Attacks

ICLR 2018 Bita Darvish RouhaniMohammad SamraghTara JavidiFarinaz Koushanfar

Recent advances in adversarial Deep Learning (DL) have opened up a new and largely unexplored surface for malicious attacks jeopardizing the integrity of autonomous DL systems. We introduce a novel automated countermeasure called Parallel Checkpointing Learners (PCL) to thwart the potential adversarial attacks and significantly improve the reliability (safety) of a victim DL model... (read more)

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