The project aims to evaluate the vulnerability of Federated Learning systems to targeted data poisoning attack known as Label Flipping Attack. The project studies the scenario that a malicious participant can only manipulate the raw training data on their device. Hence, non-expert malicious participants can achieve poisoning without knowing the …
☆24Jan 5, 2022Updated 4 years ago
Alternatives and similar repositories for Label_Flipping_Attack
Users that are interested in Label_Flipping_Attack are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆12Dec 9, 2020Updated 5 years ago
- Not All Poisons are Created Equal: Robust Training against Data Poisoning (ICML 2022)☆22Aug 8, 2022Updated 4 years ago
- ☆20Apr 12, 2023Updated 3 years ago
- 💉🔐 Novel algorithm for defending against Data Poisoning Attacks in a Federated Learning scenario☆24Apr 22, 2024Updated 2 years ago
- Membership Inference Attack on Federated Learning☆13Jan 14, 2022Updated 4 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- A sybil-resilient distributed learning protocol.☆114Sep 9, 2025Updated 11 months ago
- Code for publication on FL incentive mechanism design☆11Sep 12, 2024Updated last year
- ☆12Jan 28, 2023Updated 3 years ago
- Code for Data Poisoning Attacks Against Federated Learning Systems☆210Jun 13, 2021Updated 5 years ago
- Multi-Authority Policy-based Chameleon Hash☆16Dec 2, 2020Updated 5 years ago
- Codebase for Active Membership Inference Attack under Local Differential Privacy in Federated Learning☆16Feb 9, 2024Updated 2 years ago
- [Preprint] On the Effectiveness of Mitigating Data Poisoning Attacks with Gradient Shaping☆10Feb 27, 2020Updated 6 years ago
- Official codes for "Understanding Deep Gradient Leakage via Inversion Influence Functions", NeurIPS 2023☆16Oct 13, 2023Updated 2 years ago
- 使用biaffine的中文命名实体识别☆10Jan 12, 2023Updated 3 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- 🥞🍴Pancake sorting is a problem of sorting a disordered stack of pancakes in order of size when a spatula can be inserted at any point i…☆11Jun 3, 2019Updated 7 years ago
- ☆11Jul 12, 2021Updated 5 years ago
- Implementation of BapFL: You can Backdoor Attack Personalized Federated Learning☆15Sep 18, 2023Updated 2 years ago
- Samples of multi-class text classification with Differential Privacy Tensorflow 2.0☆11Feb 8, 2020Updated 6 years ago
- Federated Adversrial Learning/ Training Framework. A testing ground for conducting relevant research.☆11Oct 9, 2022Updated 3 years ago
- Federated Learning and Membership Inference Attacks experiments on CIFAR10☆22Jan 29, 2020Updated 6 years ago
- ☆16May 10, 2019Updated 7 years ago
- 文本分类，评论分类，朴素贝叶斯多分类，酒店评论分类☆12Sep 17, 2019Updated 6 years ago
- VIPArcher的RGSS脚本仓库☆21May 28, 2022Updated 4 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- 使用uniapp编写的万年历，日历。可展示农历、假期、调休、黄历、最近假期☆14Apr 2, 2022Updated 4 years ago
- My implementation of Factorization Machine in PyTorch.☆18May 27, 2019Updated 7 years ago
- ☆15Apr 16, 2024Updated 2 years ago
- ☆21Feb 18, 2025Updated last year
- Code for CVPR2023 DaFKD : Domain-aware Federated Knowledge Distillation☆29May 22, 2023Updated 3 years ago
- Scinis-learn is a package of non-OOP functions for Machine Learning developed by young Moroccan AI engineering students from scratch.☆17Nov 17, 2023Updated 2 years ago
- ☆20Jun 21, 2021Updated 5 years ago
- Adversarial attacks and defenses against federated learning.☆20May 24, 2023Updated 3 years ago
- RAB: Provable Robustness Against Backdoor Attacks☆40Oct 3, 2023Updated 2 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- ☆19Sep 8, 2023Updated 2 years ago
- ☆19Dec 7, 2020Updated 5 years ago
- This repository contains the code for the paper accepted by IJCAI-2022: Adapt to Adaptation: Learning Personalization for Cross-Silo Fede…☆12Sep 2, 2022Updated 4 years ago
- FedShare: Secure Aggregation based on Additive Secret Sharing in Federated Learning☆21Jan 15, 2026Updated 7 months ago
- reproduce the FLTrust model based on the paper "FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping"☆37Dec 4, 2022Updated 3 years ago
- ☆23Dec 15, 2022Updated 3 years ago
- PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance☆35Oct 11, 2024Updated last year