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CAAD VILLAGE - GeekPwn - The Uprising Geekpwn AI/Robotics Cybersecurity Contest U.S. 2018 - Weapons for Dog Fight:Adapting Malware to Anti-Detection based on GAN

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CAAD VILLAGE - GeekPwn - The Uprising Geekpwn AI/Robotics Cybersecurity Contest U.S. 2018 - Weapons for Dog Fight:Adapting Malware to Anti-Detection based on GAN
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CC Attribution 3.0 Unported:
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Zhuang Zhang, Bo Shi, Hangfeng Dong, from Tencent Yunding Lab(Tweet@YDLab9) Since the malware come out, there is a fight between malware and AV. So more and more methods based on machine learning apply to detect malware. We will share how to detect polymorphic malware based on CNN,then we will introduce a method use generative adversarial network to generate adversarial malware examples to bypass machine learning based detection models. Zhuang Zhang is the senior researcher at Tencent Yunding Laboratory. Bo Shi is the Ecosystem Director of Tencent Yunding Laboratory. Hangfeng Dong is the researcher of Tencent Yunding Laboratory.