Starred repositories
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
Input-aware Dynamic Backdoor Attack (NeurIPS 2020)
Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
Semantic Feature Augmentation in Few-shot Learning
A Pytroch Implementation of Some Backdoor Attack Algorithms, Including BadNets, SIG, FIBA, FTrojan ...
Implementation of https://arxiv.org/abs/1610.08401 for the CS-E4070 - Special Course in Machine Learning and Data Science: Advanced Topics in Deep Learning course at Aalto University, Finland.
Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.
The open-sourced Python toolbox for backdoor attacks and defenses.
Official repo to reproduce the paper "How to Backdoor Diffusion Models?" published at CVPR 2023
Code and data of the ACL-IJCNLP 2021 paper "Hidden Killer: Invisible Textual Backdoor Attacks with Syntactic Trigger"
Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''
Easy-to-use and powerful LLM and SLM library with awesome model zoo.
This is the implementation for CVPR 2022 Oral paper "Better Trigger Inversion Optimization in Backdoor Scanning."
Official Repository for the AAAI-20 paper "Hidden Trigger Backdoor Attacks"
deep learning for image processing including classification and object-detection etc.
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
ffffffff0x 团队维护的安全知识框架,内容包括不仅限于 web安全、工控安全、取证、应急、蓝队设施部署、后渗透、Linux安全、各类靶机writup
Simple PyTorch implementations of Badnets on MNIST and CIFAR10.
deeplearning.ai , By Andrew Ng, All slide and notebook + data + solutions and video link
A curated list of awesome Deep Learning tutorials, projects and communities.