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06/30/2021
Bio-Inspired Adversarial Attack Against Deep Neural Networks
The paper develops a new adversarial attack against deep neural networks...
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06/30/2021
Adversarial Machine Learning for Cybersecurity and Computer Vision: Current Developments and Challenges
We provide a comprehensive overview of adversarial machine learning focu...
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06/30/2021
Understanding Adversarial Examples Through Deep Neural Network's Response Surface and Uncertainty Regions
Deep neural network (DNN) is a popular model implemented in many systems...
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05/11/2018
Breaking Transferability of Adversarial Samples with Randomness
We investigate the role of transferability of adversarial attacks in the...
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04/13/2018
Adversarial Clustering: A Grid Based Clustering Algorithm Against Active Adversaries
Nowadays more and more data are gathered for detecting and preventing cy...
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04/11/2018
