MARBLE: Model-Based Robustness Analysis of Stateful Deep Learning Systems

ASE 2020, 2020.

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Abstract:

Deep learning (DL) has recently started to be applied in many applications, e.g., autonomous driving, speech recognition, and natural language processing. Yet, many state-of-the-art DL systems are still vulnerable to adversarial examples, which hinders their adoptions in safety- and security-critical scenarios. While some recent progress ...More

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