-
## 論文リンク
https://arxiv.org/abs/1803.06373
## 概要
・Adversarial Robustnessを増加させるための手法。
・clean examples とadversarial examplesを入力した時に出力されるlogitsが近くなるように、ロス関数を定義する。
・直感的には、モデルはcleanとadversarialの画像に共通…
-
Hey, as an enhancement for custom model training, I propose to add a configuration argument so that the trainer does not evaluate after every epoch but a specification to validate every n epochs.
…
-
Currently, the output is a single tensor (adv images). However, it is common that we might need to know more information from the long-lasting searching process, e.g., in which iteration of PGD do we …
-
Adding a simple alias to repeated code that launch an attack and returns the success rate into https://github.com/Trusted-AI/adversarial-robustness-toolbox/blob/main/art/metrics/metrics.py can be usef…
-
Use test_deepfool.py to test on two test pictures. When the generated disturbed picture enters the network again for forward calculation, the category has not changed.
The images directly generated b…
-
Despite the simplicity of the Fast Gradient Sign Method, it is surprisingly effective at generating adversarial examples on unsecured models. However, Table XIV reports the misclassification rate of F…
-
Security is all about *worst*-case guarantees. Despite this fact, the paper makes many of the inferences by looking at the *average*-case robustness.
This is fundamentally flawed.
If a defense…
-
I got an error when running the attacks from SpsaWithRandomSpatialAttack:
```
tensorflow.python.framework.errors_impl.InvalidArgumentError: assertion failed: [] [Condition x
-
Dear LocusLab members,
how difficult would it to add support for network shapes that are not a simple chaint? There are a few applications in which they make sense (at least for experimentation). I…
-
On at least two counts the paper choses l_infinity distortion bounds that are not well motivated.
- Throughout the paper the report studies a CIFAR-10 distortion of eps=0.1 and eps=0.2. This val…