對抗樣本(論文解讀十四): advPattern Physical World Attacks on Deep Person Re-Identification via Adversarially T
advPattern Physical World Attacks on Deep Person Re-Identification via Adversarially Transformable Zhibo Wang†, Siyan Zheng†, Mengkai Song†, Qian Wang†,∗, Alireza Rahimpour‡, Hairong Qi‡ †Key Laborato
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相關文章
- 1. 對抗樣本(論文解讀七):On Physical Adversarial Patches for Object Detection
- 2. 對抗樣本(論文解讀六):Adversarial camera stickers: A physical camera-based attack on deep learning systems
- 3. 對抗樣本(論文解讀四): Adversarial Attacks and Defenses in Images, Graphs and Text: A Review
- 4. 對抗樣本(論文解讀八):Towards More Robust Adversarial Attack Against Real World Object Detectors
- 5. 【生成對抗樣本】Simple Black-Box Adversarial Attacks on Deep Neural Networks
- 6. ECCV 2020 的對抗相關論文（對抗生成、對抗攻擊）
- 7. 對抗樣本(論文解讀二): Transferable Adversarial Attacks for Image and Video Object Detection
- 8. 對抗樣本(論文解讀三): Adversarial Examples Improve Image Recognition
- 9. 1707.Deep Learning for Person Reidentification Using Support Vector Machines 論文筆記
- 10. 對抗樣本(論文解讀五):Perceptual-Sensitive GAN for Generating Adversarial Patches