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12/19/2019
Optimization-Guided Binary Diversification to Mislead Neural Networks for Malware Detection
Motivated by the transformative impact of deep neural networks (DNNs) on...
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11/19/2019
Deep Detector Health Management under Adversarial Campaigns
Machine learning models are vulnerable to adversarial inputs that induce...
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06/27/2018
Gradient Similarity: An Explainable Approach to Detect Adversarial Attacks against Deep Learning
Deep neural networks are susceptible to small-but-specific adversarial p...
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03/01/2017