对抗样本(论文解读十)：Evading Real-Time Person Detectors by Adversarial T-shirt

时间 2021-01-13

标签 Machine learning Deep learning 对抗样本繁體版

原文原文链接

Evading Real-Time Person Detectors by Adversarial T-shirt Kaidi Xu1 Gaoyuan Zhang2 Sijia Liu2 Quanfu Fan2 Mengshu Sun1 Hongge Chen3 Pin-Yu Chen2 Yanzhi Wang1 Xue Lin1 1Northeastern University, USA 2MI

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1. 对抗样本(论文解读一): DPATCH: An Adversarial Patch Attack on Object Detectors
2. 对抗样本(论文解读八):Towards More Robust Adversarial Attack Against Real World Object Detectors
3. 对抗样本(论文解读七):On Physical Adversarial Patches for Object Detection
4. 对抗样本(论文解读三): Adversarial Examples Improve Image Recognition
5. 对抗样本(论文解读五):Perceptual-Sensitive GAN for Generating Adversarial Patches
6. 对抗样本(论文解读二): Transferable Adversarial Attacks for Image and Video Object Detection
7. Adversarial Examples 对抗样本
8. 论文阅读:Explaining and Harnessing Adversarial Examples(解释分析对抗样本)
9. 对抗样本(论文解读四): Adversarial Attacks and Defenses in Images, Graphs and Text: A Review
10. ECCV 2020 的对抗相关论文（对抗生成、对抗攻击）
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1. 对抗样本(论文解读一): DPATCH: An Adversarial Patch Attack on Object Detectors
2. 对抗样本(论文解读八):Towards More Robust Adversarial Attack Against Real World Object Detectors
3. 对抗样本(论文解读七):On Physical Adversarial Patches for Object Detection
4. 对抗样本(论文解读三): Adversarial Examples Improve Image Recognition
5. 对抗样本(论文解读五):Perceptual-Sensitive GAN for Generating Adversarial Patches
6. 对抗样本(论文解读二): Transferable Adversarial Attacks for Image and Video Object Detection
7. Adversarial Examples 对抗样本
8. 论文阅读:Explaining and Harnessing Adversarial Examples(解释分析对抗样本)
9. 对抗样本(论文解读四): Adversarial Attacks and Defenses in Images, Graphs and Text: A Review
10. ECCV 2020 的对抗相关论文（对抗生成、对抗攻击）

>>更多相关文章<<