However, a gradient based attack based on latent space embeddings does not exist in the GNN literature. Such attacks, classified as white box attacks, tamper with latent space representation of graphs without creating any noticeable difference in the overall distribution. Developing and testing GNN ...
Decoupling Direction and Norm for Efficient Gradient-Based L_{2} Adversarial Attacks and Defenses 说在前面 CVPR 2019 原文链接:openaccess.thecvf.com/c 论文源码:github.com/jeromerony/f 模型: github.com/MadryLab 本文作于2022年3月24日 1.提出的问题...
The company offers products and services that enable predictive maintenance, fraud detection, and cybersecurity, with a focus on preventing zero-day attacks. Avathon's AI technology is designed to analyze and optimize data, augment human intelligence, and enhance operational efficiency. It was ...
Since the GNN is trained based on the node's features and the connection relationship between the nodes, an attacker can add a small amount of error information to the training data in order to attack the GNN. Typically, adversarial attacks can be categorized into three types: white-box attac...
conda activate grad_attacks 2 TAG 复现结果和要点讨论 2.1 结果概览(GPT-2 自回归文本生成) 这里使用预训练的 GPT-2,任务为自回归文本生成,输入为一个 16 个 token 的序列: The Tower Building of the Little Rock Arsenal, also known as U.S. 也即预训练的 GPT-2 会学习自回归地生成以上序列,而...
Furthermore, it is important to note that transfer-based attacks operated on a white-box surrogate model are evaluated on a black-box detector. Consequently, excessive iterations may lead to overfitting on the surrogate model, resulting in sub-optimal performance of adversarial examples on the ...
We show that our attack achieves similar or significantly smaller robust accuracy than state-of-the-art attacks like PGD or the one of Carlini and Wagner, thus revealing an overestimation of the robustness by these state-of-the-art methods. Our attack is not based on a gradient descent ...
In this work, we explore the implications of Gradient Inversion attacks in FL and propose a novel defence mechanism, called Pruned Frequency-based Gradient Defence (pFGD), to mitigate these risks. Our defence strategy combines frequency transformation using techniques such as Discrete Cosine Transform...
Significance: This library addresses the growing need for secure computing in the era of quantum computers, ensuring that AI applications remain secure against potential quantum-based attacks. If you enjoyed this post please support our work by encouraging your friends and colleagues to subscribe to ...
This project runs on Python 3.6. You are highly recommended to create a virtual environment to make sure the dependencies do not interfere with your current programming environment. By default, GPUs will be used to accelerate the process of adversarial attacks. ...