Adversarial Perturbations

時間 2020-12-30

標籤對抗學習機器學習简体版

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這裏寫自定義目錄標題 Adversarial Perturbations Adversarial Perturbations [2018CVPR] Generative Adversarial Perturbations 主要對對抗學習進行了系統的介紹，有以下分類： image-agnostic & image-dependent target attack & no-target attack

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1. Multi-Label Adversarial Perturbations
2. [paper]Universal adversarial perturbations
3. 《Universal adversarial perturbations》文獻閱讀筆記
4. 對抗機器學習——Universal adversarial perturbations
5. 關於Distillation as a Defense to Adversarial Perturbations against Deep Neural Networks的理解
6. [paper]Distillation as a Defense to Adversarial Perturbations against Deep Neural Networks
7. Data-Free Adversarial Perturbations for Practical Black-Box Attack閱讀筆記
8. Paper Review: Adversarial Examples
9. 【遷移攻擊筆記】圖像＆模型同時遷移2017Universal adversarial perturbations
10. Hidden Voice Attack | Adversarial Attack on Audio
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1. Multi-Label Adversarial Perturbations
2. [paper]Universal adversarial perturbations
3. 《Universal adversarial perturbations》文獻閱讀筆記
4. 對抗機器學習——Universal adversarial perturbations
5. 關於Distillation as a Defense to Adversarial Perturbations against Deep Neural Networks的理解
6. [paper]Distillation as a Defense to Adversarial Perturbations against Deep Neural Networks
7. Data-Free Adversarial Perturbations for Practical Black-Box Attack閱讀筆記
8. Paper Review: Adversarial Examples
9. 【遷移攻擊筆記】圖像＆模型同時遷移2017Universal adversarial perturbations
10. Hidden Voice Attack | Adversarial Attack on Audio

>>更多相關文章<<