-
## Issue
The task is to formulate non-SFT attacks in order to test the robustness of a defence solution.
The attack will need to run with an arbitrary domain like medical advice.
Types of Attac…
-
你好,我在训练自己的数据集之前,按照你的要求更改了相应的地方。但是当我运行train.py之后,出现了下面的bug。我看不太懂,请问这是什么原因造成的?
initialize network with normal type
Epoch 1/25: 0%| | 0/1665 [00:00
-
## 一言でいうと
分類器にバックドアを設置するために作成された汚染データを検出する手法。汚染データを含むデータセットをバックドアが設置されていない分類器に入力し、出力層手前の全結合層から得たActivationをクラス毎に2クラスタリングすることで、クリーンデータと汚染データを選別する。
![fig2](https://user-images.githubusercontent.com/12…
-
Hi!
It's a nice work and so do its continuative research! We are now looking into some defence methods but some code are hard to be reproduced with the same performance and the workload is huge. Is t…
-
# Abstract
You hear a lot about how great machine learning is, and about how AI will change the world this century, but what you don't tend to hear so much about are the *very* serious security vulne…
-
Hello, thank you very much for providing the dataset, I am having trouble reproducing it, would you upload the full code?
-
Hello, I'm just read the paper, and it's quite brilliant idea to apply a input transformation defence to circumvent existing advanced gradient attack without retrain model or degrading performance.
…
-
can you tell me the training epoch number before finetuning for imagenet 143 category and cifar datasets
-
**Paper**: Local Competition and Stochasticity for Adversarial Robustness in Deep Learning (http://proceedings.mlr.press/v130/panousis21a)
**Venue**: International Conference on Artificial Intellig…
-