THUYimingLi / backdoor-learning-resources
A list of backdoor learning resources
☆1,052Updated 3 months ago
Related projects ⓘ
Alternatives and complementary repositories for backdoor-learning-resources
- The open-sourced Python toolbox for backdoor attacks and defenses.☆458Updated 3 months ago
- ☆410Updated last week
- TrojanZoo provides a universal pytorch platform to conduct security researches (especially backdoor attacks/defenses) of image classifica…☆274Updated 2 months ago
- A curated list of papers & resources linked to data poisoning, backdoor attacks and defenses against them (no longer maintained)☆186Updated 3 months ago
- A curated list of papers & resources on backdoor attacks and defenses in deep learning.☆176Updated 7 months ago
- Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.☆336Updated last year
- ☆290Updated last week
- Simple PyTorch implementations of Badnets on MNIST and CIFAR10.☆154Updated 2 years ago
- A curated list of Meachine learning Security & Privacy papers published in security top-4 conferences (IEEE S&P, ACM CCS, USENIX Security…☆215Updated last week
- A curated list of trustworthy deep learning papers. Daily updating...☆344Updated this week
- Code implementation of the paper "Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks", at IEEE Security and P…☆266Updated 4 years ago
- TransferAttack is a pytorch framework to boost the adversarial transferability for image classification.☆262Updated 2 weeks ago
- WaNet - Imperceptible Warping-based Backdoor Attack (ICLR 2021)☆111Updated 3 months ago
- Official Repository for the AAAI-20 paper "Hidden Trigger Backdoor Attacks"☆116Updated last year
- Related papers for robust machine learning☆564Updated last year
- Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"☆656Updated 5 months ago
- RobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]☆665Updated this week
- PyTorch implementation of adversarial attacks [torchattacks]☆1,895Updated 4 months ago
- An awesome list of papers on privacy attacks against machine learning☆558Updated 7 months ago
- A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.☆483Updated last year
- ☆140Updated last month
- This Github repository summarizes a list of research papers on AI security from the four top academic conferences.☆97Updated last year
- [NeurIPS 2019] Deep Leakage From Gradients☆412Updated 2 years ago
- A curated list of resources for model inversion attack (MIA).☆134Updated 3 months ago
- 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).☆212Updated 2 years ago
- An open-source toolkit for textual backdoor attack and defense (NeurIPS 2022 D&B, Spotlight)☆149Updated last year
- A curated list of academic events on AI Security & Privacy☆135Updated 2 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
- Invisible Backdoor Attack with Sample-Specific Triggers☆88Updated 2 years ago