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03/06/2020
Towards Practical Lottery Ticket Hypothesis for Adversarial Training
Recent research has proposed the lottery ticket hypothesis, suggesting t...
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11/22/2019
Enhancing Cross-task Black-Box Transferability of Adversarial Examples with Dispersion Reduction
Neural networks are known to be vulnerable to carefully crafted adversar...
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09/13/2019
Explainable Machine Learning in Deployment
Explainable machine learning seeks to provide various stakeholders with ...
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05/27/2019
Fooling Detection Alone is Not Enough: First Adversarial Attack against Multiple Object Tracking
Recent work in adversarial machine learning started to focus on the visu...
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05/08/2019