THUYimingLi / backdoor-learning-resources
A list of backdoor learning resources
☆1,104Updated 9 months ago
Alternatives and similar repositories for backdoor-learning-resources:
Users that are interested in backdoor-learning-resources are comparing it to the libraries listed below
- The open-sourced Python toolbox for backdoor attacks and defenses.☆543Updated last month
- ☆493Updated last month
- TrojanZoo provides a universal pytorch platform to conduct security researches (especially backdoor attacks/defenses) of image classifica…☆291Updated 8 months ago
- Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.☆361Updated 2 years ago
- A curated list of papers & resources on backdoor attacks and defenses in deep learning.☆201Updated last year
- A curated list of papers & resources linked to data poisoning, backdoor attacks and defenses against them (no longer maintained)☆253Updated 3 months ago
- An awesome list of papers on privacy attacks against machine learning☆598Updated last year
- Code implementation of the paper "Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks", at IEEE Security and P…☆285Updated 5 years ago
- Simple PyTorch implementations of Badnets on MNIST and CIFAR10.☆174Updated 2 years ago
- ☆330Updated 2 months ago
- A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.☆505Updated last year
- Official Repository for the AAAI-20 paper "Hidden Trigger Backdoor Attacks"☆127Updated last year
- RobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]☆706Updated last month
- Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"☆693Updated 11 months ago
- Related papers for robust machine learning☆568Updated last year
- WaNet - Imperceptible Warping-based Backdoor Attack (ICLR 2021)☆125Updated 5 months ago
- [NeurIPS 2019] Deep Leakage From Gradients☆432Updated 3 years ago
- An open-source toolkit for textual backdoor attack and defense (NeurIPS 2022 D&B, Spotlight)☆181Updated 2 years ago
- Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)☆295Updated 9 months ago
- A compact toolbox for backdoor attacks and defenses.☆174Updated 9 months ago
- A curated list of Meachine learning Security & Privacy papers published in security top-4 conferences (IEEE S&P, ACM CCS, USENIX Security…☆261Updated 5 months ago
- A curated list of papers on adversarial machine learning (adversarial examples and defense methods).☆210Updated 2 years ago
- PyTorch implementation of adversarial attacks [torchattacks]☆2,012Updated 10 months ago
- A unified benchmark problem for data poisoning attacks☆155Updated last year
- ☆144Updated 7 months ago
- This is an implementation demo of the ICLR 2021 paper [Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks…☆122Updated 3 years ago
- [arXiv:2411.10023] "Model Inversion Attacks: A Survey of Approaches and Countermeasures"☆175Updated this week
- A curated list of trustworthy deep learning papers. Daily updating...☆367Updated last week
- 对抗样本（Adversarial Examples）和投毒攻击（Poisoning Attacks）相关资料☆116Updated 5 years ago
- DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)☆190Updated 3 years ago