[AAAI-2024] Official code for work "Adv-Diffusion: Imperceptible Adversarial Face Identity Attack via Latent Diffusion Model"

deep learning for image processing including classification and object-detection etc.

This is an official repository of ``VQAttack: Transferable Adversarial Attacks on Visual Question Answering via Pre-trained Models'' (AAAI 2024))

The implementation of our ACM MM 2023 paper "AdvCLIP: Downstream-agnostic Adversarial Examples in Multimodal Contrastive Learning"

An adversarial example library for constructing attacks, building defenses, and benchmarking both

Tensorflow implementation of Generating Adversarial Examples with Adversarial Networks

A challenge to explore adversarial robustness of neural networks on MNIST.

This is a PyTorch implementation of the paper "Reinforcement Learning-Based Black-Box Model Inversion Attacks" accepted by CVPR 2023.

Official implementation of "GRNN: Generative Regression Neural Network - A Data Leakage Attack for Federated Learning"

Applied generative adversarial networks (GANs) to do anomaly detection for time series data

We used generative adversarial networks (GANs) to do anomaly detection for time series data.

Code for the unrestricted adversarial examples paper (NeurIPS 2018)

On the detection of synthetic images generated by diffusion models

A Robust Adversarial Network-Based End-to-End Communications System With Strong Generalization Ability Against Adversarial Attacks

电磁信号识别的深度学习框架

Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning mode…

对抗样本（Adversarial Examples）和投毒攻击（Poisoning Attacks）相关资料

对抗性样本攻击与防御

PyTorch implementation of adversarial attacks [torchattacks]

Code for "Adversarial attack by dropping information." (ICCV 2021)