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I found that when running the MI-FGSM code, the final accuracy is independent of the decay_factor parameter, which leads to the results of MI-FGSM and I-FGSM always being the same. How can this issue…
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in your code,you have defined a function called fgsm_attack,but later when you use it to attack inception v3,you make a mistake to use"fgsm_acttack"
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I'm working on a project to implement an FGSM (Fast Gradient Sign Method) attack on an LSTM model for stock price prediction using TensorFlow and Keras. Despite my efforts, I'm encountering persistent…
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In the documentation of ImageNet-C Corruption Functions, There are 19 functions.
But in the implementation, there is another function called `fgsm` that has a weird implementation.
Anyone could expl…
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# 적대적 예제의 설명과 활용 (Fast Gradient Sign Method, FGSM) - Ian J.Goodfellow, Jonathan Shelens & Christian Szegedy | MNG
초록 신경망을 포함한 일부 머신러닝 모델들은 적대적 예제들을 일관적으로 오분류한다. 적대적 예제란, 데이터셋에서 미세하지만 의도적으로 worst-case…
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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…
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**Is your feature request related to a problem? Please describe.**
I would like to use the randomized version of FGSM described in https://arxiv.org/pdf/1611.01236.pdf (see the final paragraph of s…
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I am not sure if the code for MI-FGSM is correct, since the gradient is expected to be calculated in each iteration rather than a single value for all iterations?
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### ❔ Any questions
torchattacks.FGSM(model, eps=0) seems to perturb my data, even though eps = 0.
When testing my original data, I get an accuracy of 81.2%. Once I get predictions when performing…
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Hello, I am currently reproducing your paper. Regarding Figure 4, I have some questions that I would like to ask you:
1. Is the dataset Imagene-compatible?
2. Besides DiffAttack, which specific surr…