153 citations · 338 across the 7 of their papers we have counts for
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cs.CR2018★ 15 cited
Enhancing Robustness of Deep Neural Networks Against Adversarial Malware Samples: Principles, Framework, and AICS'2019 Challenge
Deqiang Li, Qianmu Li, Yanfang Ye +1
Malware continues to be a major cyber threat, despite the tremendous effort that has been made to combat them. The number of malware in the wild steadily increases over time, meani…
cs.CR2018★ 19 cited
HashTran-DNN: A Framework for Enhancing Robustness of Deep Neural Networks against Adversarial Malware Samples
Deqiang Li, Ramesh Baral, Tao Li +3
Adversarial machine learning in the context of image processing and related applications has received a large amount of attention. However, adversarial machine learning, especially…