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I've been working with DPBGA and have encountered some issues that I'd like to clarify:
**ASR Drops to Zero with Different Target Class:**
When I change the target class (e.g., to Flickr), the A…
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Hi, thanks for your benchmark work and the open source code. I have a question about the AT part of the code.
In your paper, the section on adversarial training references the paper 'Extending adv…
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hello i found that in your code you save images as '.bmp'. i changed the code to save images as '.jpg' and found minigpt4 said the saved adversarial images are blurred and pixelated, which suggests th…
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## 論文リンク
- [arXiv](https://arxiv.org/abs/2104.09284)
## 公開日(yyyy/mm/dd)
2021/04/19
## 概要
## TeX
```
% yyyy/mm/dd
@inproceedings{
yu2021leafeat,
title={LAFEAT: Piercing Throug…
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## 一言でいうと
PyTorch用の敵対的学習ライブラリ。DNNベースの画像分類器に対する10以上の攻撃手法と8つの防御手法、および、GNNに対する9つの攻撃手法と4つの防御手法を検証することが可能。オープンソースで公開されている。
![DeepRobust](https://user-images.githubusercontent.com/12124329/82116499-3f8f…
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| Team Name | Affiliation |
|---|---|
| DNNtakeover | CMU;CMU;CMU |
- Paper: [PPD: Permutation Phase Defense Against Adversarial Examples in Deep Learning](https://openreview.net/pdf?id=HkElFj0qYQ)
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While the idea of adversarial training is straightforward—-generate adversarial examples during training and train on those examples until the model learns to classify them correctly—-in practice it i…
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Hi, thanks a lot for this work! Where is your defense method and how should I use it? Could you please provide detailed instructions. Also in AT I have a point of confusion, in line 263 the code reads…