THUYimingLi / backdoor-learning-resources
A list of backdoor learning resources
☆1,064Updated 3 months ago
Related projects ⓘ
Alternatives and complementary repositories for backdoor-learning-resources
- The open-sourced Python toolbox for backdoor attacks and defenses.☆465Updated 3 months ago
- ☆418Updated 3 weeks ago
- TrojanZoo provides a universal pytorch platform to conduct security researches (especially backdoor attacks/defenses) of image classifica…☆279Updated 3 months ago
- A curated list of papers & resources on backdoor attacks and defenses in deep learning.☆178Updated 8 months ago
- Code implementation of the paper "Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks", at IEEE Security and P…☆269Updated 4 years ago
- Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.☆336Updated last year
- A curated list of papers & resources linked to data poisoning, backdoor attacks and defenses against them (no longer maintained)☆192Updated 4 months ago
- Simple PyTorch implementations of Badnets on MNIST and CIFAR10.☆159Updated 2 years ago
- WaNet - Imperceptible Warping-based Backdoor Attack (ICLR 2021)☆113Updated 2 weeks ago
- ☆291Updated this week
- A curated list of Meachine learning Security & Privacy papers published in security top-4 conferences (IEEE S&P, ACM CCS, USENIX Security…☆218Updated 3 weeks ago
- Official Repository for the AAAI-20 paper "Hidden Trigger Backdoor Attacks"☆117Updated last year
- An awesome list of papers on privacy attacks against machine learning☆564Updated 8 months ago
- This is an implementation demo of the ICLR 2021 paper [Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks…☆118Updated 2 years ago
- [NeurIPS 2019] Deep Leakage From Gradients☆416Updated 2 years ago
- A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.☆485Updated last year
- A curated list of trustworthy deep learning papers. Daily updating...☆345Updated this week
- A compact toolbox for backdoor attacks and defenses.☆149Updated 4 months ago
- An open-source toolkit for textual backdoor attack and defense (NeurIPS 2022 D&B, Spotlight)☆151Updated last year
- Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"☆659Updated 6 months ago
- Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)☆273Updated 4 months ago
- ☆140Updated last month
- DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)☆177Updated 3 years ago
- A curated list of papers on adversarial machine learning (adversarial examples and defense methods).☆211Updated 2 years ago
- Related papers for robust machine learning☆565Updated last year
- RobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]☆669Updated 2 weeks ago
- Invisible Backdoor Attack with Sample-Specific Triggers☆91Updated 2 years ago
- TransferAttack is a pytorch framework to boost the adversarial transferability for image classification.☆278Updated last month
- Existing Literature about Machine Unlearning☆786Updated this week
- 对抗样本(Adversarial Examples)和投毒攻击(Poisoning Attacks)相关资料☆109Updated 5 years ago