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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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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…
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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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In [adversarial_attacks_pytorch.py](https://github.com/Trusted-AI/adversarial-robustness-toolbox/blob/main/art/attacks/evasion/adversarial_patch/adversarial_patch_pytorch.py) line 191 : `loss.backward…
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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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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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Would be interesting to see what type of heuristics can be applied against adversarial suffixes. As background:
https://arxiv.org/abs/2307.15043
https://github.com/llm-attacks/llm-attacks
To be c…
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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)
…