ebagdasa / backdoors101
Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.
☆350Updated 2 years ago
Alternatives and similar repositories for backdoors101:
Users that are interested in backdoors101 are comparing it to the libraries listed below
- TrojanZoo provides a universal pytorch platform to conduct security researches (especially backdoor attacks/defenses) of image classifica…☆288Updated 6 months ago
- Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)☆287Updated 6 months ago
- DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)☆183Updated 3 years ago
- Code implementation of the paper "Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks", at IEEE Security and P…☆277Updated 4 years ago
- Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models☆125Updated 10 months ago
- The open-sourced Python toolbox for backdoor attacks and defenses.☆495Updated 6 months ago
- Official Repository for the AAAI-20 paper "Hidden Trigger Backdoor Attacks"☆123Updated last year
- ☆454Updated 2 months ago
- ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341☆68Updated last year
- Simple PyTorch implementations of Badnets on MNIST and CIFAR10.☆167Updated 2 years ago
- ☆141Updated 4 months ago
- A curated list of papers & resources on backdoor attacks and defenses in deep learning.☆192Updated 11 months ago
- Code for Data Poisoning Attacks Against Federated Learning Systems☆180Updated 3 years ago
- A curated list of papers & resources linked to data poisoning, backdoor attacks and defenses against them (no longer maintained)☆222Updated last month
- A library for running membership inference attacks against ML models☆142Updated 2 years ago
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆147Updated 2 years ago
- ☆311Updated 2 months ago
- Code for ML Doctor☆85Updated 6 months ago
- An awesome list of papers on privacy attacks against machine learning☆581Updated 10 months ago
- Algorithms to recover input data from their gradient signal through a neural network☆278Updated last year
- WaNet - Imperceptible Warping-based Backdoor Attack (ICLR 2021)☆120Updated 3 months ago
- Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)☆193Updated 7 years ago
- This is an implementation demo of the ICLR 2021 paper [Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks…☆121Updated 3 years ago
- A unified benchmark problem for data poisoning attacks☆152Updated last year
- A curated list of academic events on AI Security & Privacy☆141Updated 5 months ago
- Breaching privacy in federated learning scenarios for vision and text☆279Updated 9 months ago
- This is for releasing the source code of the ACSAC paper "STRIP: A Defence Against Trojan Attacks on Deep Neural Networks"☆54Updated 3 months ago
- ☆47Updated last year
- Code for the paper "ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models"☆82Updated 3 years ago
- ☆180Updated last year