VivienneCelia

VivienneCelia's Stars

• encryptogroup/SAFEFL

  SAFEFL: MPC-friendly Framework for Private and Robust Federated Learning

  Language:Python296

• limbopro/Paolujichang

  科学上网🕸️之跑路机场名单收集（2020-2024），欢迎投稿。

  2.4k42

• FederatedAI/research

  Language:Python16525

• caserec/Datasets-for-Recommender-Systems

  This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)

  Language:Jupyter Notebook984167

• rdz98/FedRecAttack

  Model Poisoning Attack to Federated Recommendation

  Language:Python313

• lokinko/Federated-Learning

  联邦学习

  1k191

• JonasGeiping/poisoning-gradient-matching

  Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching

  Language:Python9413

• Sanghyun-Hong/Gradient-Shaping

  [Preprint] On the Effectiveness of Mitigating Data Poisoning Attacks with Gradient Shaping

  Language:Python10

• git-disl/DataPoisoning_FL

  Code for Data Poisoning Attacks Against Federated Learning Systems

  Language:Python16855

• jinyuan-jia/BaggingCertifyDataPoisoning

  Language:Python95

• YuYang0901/EPIC

  Not All Poisons are Created Equal: Robust Training against Data Poisoning (ICML 2022)

  Language:Python174

• ebarkhordar/shilling-attack-detection-for-recommender-systems

  shilling attack detection for recommender systems

  Language:Jupyter Notebook82

• yjw1029/UA-FedRec

  The python implementation of our "UA-FedRec: Untargeted Attack on Federated News Recommendation" in KDD 2023.

  Language:Jupyter Notebook172

• fuying-wang/Data-poisoning-attacks-on-factorization-based-collaborative-filtering

  Data poisoning attack of recommend system using the algorithm of MF.

  Language:Python2914

• Yueeeeeeee/RecSys-Extraction-Attack

  [RecSys 2021] PyTorch Implementation of Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction

  Language:Python374

• DACXMines/Tesseract

  Implementation and exploration of the paper Tesseract: Gradient Flip Score to Secure Federated Learning against Model Poisoning Attacks

  Language:Python2

• DistributedML/FoolsGold

  A sybil-resilient distributed learning protocol.

  Language:Python9424

• cpwan/Attack-Adaptive-Aggregation-in-Federated-Learning

  This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.

  Language:Jupyter Notebook438

• michaelTJC96/Label_Flipping_Attack

  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 model type, the parameters, and the Federated Learning process. In addition, the project also analyses the possibility and effectiveness of concealing the tracks while poisoning the raw data of other devices.

  Language:Python134

• med-air/FL-COVID

  [npj Digital Medicine'21] Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study. (Nature publishing group)

  Language:Python375

• janerjzou/AD_FL_DL

  Apply Federated Learning and Deep Learning (Deep Auto-encoder) to detect abnormal data for IoT devices.

  Language:Jupyter Notebook3212

• smallsmallstrong/Attacks-and-Defenses-in-Federated-Learning

  1

• fyfserena/Pratical-DL-Sys-Performance-Robustness-Security

  Columbia Univeristy COMS6998 section 07 and 12

  Language:Jupyter Notebook2

• fnc11/CosDefence

  A defence mechanism against Data Poisoning attacks in Federated Learning (FL).

  Language:Python3

• MrWater98/backdoors101

  Language:Python82

• Suyi32/Learning-to-Detect-Malicious-Clients-for-Robust-FL

  Language:Python173

• jgshu/Attacks-and-Defenses-in-Federated-Learning

  387

• ebagdasa/backdoor_federated_learning

  Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)

  Language:Python27263

• jeremy313/FL-WBC

  Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective".

  Language:Python3710

• innovation-cat/Awesome-Federated-Machine-Learning

  Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond

  1.8k270