對抗機器學習：Generating Adversarial Malware Examples for Black-box Attacks Based on GAN

時間 2020-12-30

標籤對抗機器學習 MalGAN 简体版

原文原文鏈接

論文url https://arxiv.org/pdf/1702.05983.pdf @article{hu2017generating, title={Generating adversarial malware examples for black-box attacks based on GAN}, author={Hu, Weiwei and Tan, Ying}, journal={ar

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1. 對抗機器學習：Deceiving End-to-End Deep Learning Malware Detectors using Adversarial Examples
2. 對抗樣本(論文解讀五):Perceptual-Sensitive GAN for Generating Adversarial Patches
3. [advGAN]Generating Adversarial Examples With Adversarial Networks
4. Generating Adversarial Examples with Adversarial Networks
5. Generating Adversarial Examples with Adversarial Networks 採用GAN的方法來生成對抗樣本
6. Adversarial Examples 對抗樣本
7. Generating Adversarial Examples with Adversarial Networks閱讀筆記
8. Paper Review: Adversarial Examples
9. 對抗機器學習——FGSM經典論文 EXPLAINING AND HARNESSING ADVERSARIAL EXAMPLES
10. 【惡軟】【對抗】【攻】Adversarial Malware Binaries: Evading Deep Learning for Malware Detection in Executables
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1. 對抗機器學習：Deceiving End-to-End Deep Learning Malware Detectors using Adversarial Examples
2. 對抗樣本(論文解讀五):Perceptual-Sensitive GAN for Generating Adversarial Patches
3. [advGAN]Generating Adversarial Examples With Adversarial Networks
4. Generating Adversarial Examples with Adversarial Networks
5. Generating Adversarial Examples with Adversarial Networks 採用GAN的方法來生成對抗樣本
6. Adversarial Examples 對抗樣本
7. Generating Adversarial Examples with Adversarial Networks閱讀筆記
8. Paper Review: Adversarial Examples
9. 對抗機器學習——FGSM經典論文 EXPLAINING AND HARNESSING ADVERSARIAL EXAMPLES
10. 【惡軟】【對抗】【攻】Adversarial Malware Binaries: Evading Deep Learning for Malware Detection in Executables

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