Model Poisoning Attack to Federated Recommendation
☆32Apr 23, 2022Updated 3 years ago
Alternatives and similar repositories for FedRecAttack
Users that are interested in FedRecAttack are comparing it to the libraries listed below
Sorting:
- Source code of FedAttack.☆11Feb 9, 2022Updated 4 years ago
- [AAAI 2023] Official PyTorch implementation for "Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings…☆26Jan 18, 2023Updated 3 years ago
- Poisoning Deep Learning based Recommender Model in Federated Learning Scenarios☆18Apr 27, 2022Updated 3 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆44Oct 29, 2021Updated 4 years ago
- Papers related to federated learning for recommender system☆32Apr 25, 2021Updated 4 years ago
- ☆38Apr 9, 2021Updated 4 years ago
- Federated Fairness-aware Recommendation☆14Sep 2, 2022Updated 3 years ago
- The python implementation of our "UA-FedRec: Untargeted Attack on Federated News Recommendation" in KDD 2023.☆19Aug 2, 2022Updated 3 years ago
- The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".☆35Oct 3, 2022Updated 3 years ago
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆149Aug 6, 2022Updated 3 years ago
- Official code for the paper "Membership Inference Attacks Against Recommender Systems" (ACM CCS 2021)☆20Oct 8, 2024Updated last year
- Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation☆58Apr 28, 2024Updated last year
- ☆42Nov 24, 2023Updated 2 years ago
- Federated Neural Collaborative Filtering (FedNCF). Neural Collaborative Filtering utilizes the flexibility, complexity, and non-linearity…☆44Apr 13, 2023Updated 2 years ago
- The source code for the paper "Beyond Similarity: Personalized Federated Recommendation with Composite Aggregation, ACM TOIS 2026".☆13Dec 20, 2025Updated 2 months ago
- [Preprint] Backdoor Attacks on Federated Learning with Lottery Ticket Hypothesis☆10Sep 23, 2021Updated 4 years ago
- Simplicial-FL to manage client device heterogeneity in Federated Learning☆22Aug 3, 2023Updated 2 years ago
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆86Feb 23, 2023Updated 3 years ago
- [Preprint] On the Effectiveness of Mitigating Data Poisoning Attacks with Gradient Shaping☆10Feb 27, 2020Updated 6 years ago
- A unified framework for recommender system attacking☆33Mar 29, 2024Updated last year
- Code for Federated Social Recommendation with Graph Neural Network☆28Nov 22, 2022Updated 3 years ago
- A curated collection of adversarial attack and defense on recommender systems.☆136Apr 29, 2022Updated 3 years ago
- ☆17Jun 10, 2024Updated last year
- A collection of research papers on Federated Recommender Systems.☆73Oct 21, 2024Updated last year
- Data poisoning attack of recommend system using the algorithm of MF.☆31Apr 10, 2018Updated 7 years ago
- G-NIA model from "Single Node Injection Attack against Graph Neural Networks" (CIKM 2021)☆29Jan 11, 2022Updated 4 years ago
- Code for ijcai-23 paper "Dual Personalization on Federated Recommendation"☆31Jul 28, 2024Updated last year
- ☆19Nov 17, 2023Updated 2 years ago
- A project for collecting and showing the current research progress of FedRec☆142Oct 17, 2023Updated 2 years ago
- Training Federated GANs with Theoretical Guarantees: AUniversal Aggregation Approach☆17Jan 18, 2021Updated 5 years ago
- code of FedGNN☆94May 12, 2022Updated 3 years ago
- Github Repo for AAAI 2023 paper: On the Vulnerability of Backdoor Defenses for Federated Learning☆41Apr 3, 2023Updated 2 years ago
- Implementation of Adversarial Privacy Graph Embedding in TensorFlow☆21Jun 12, 2020Updated 5 years ago
- Paper Reading list for Shilling Attack and Defense on Recommender Systems☆22Feb 26, 2025Updated last year
- Code for paper "Interpret Federated Learning with Shapley Values"☆40May 18, 2019Updated 6 years ago
- Official implementation of the papers "User-controlled federated matrix factorization for recommender systems" and "FedeRank: User Contro…☆18Jul 28, 2020Updated 5 years ago
- Material supporting the tutorial "Pursuing Privacy in Recommender Systems: The View of Users and Researchers from Regulations to Applicat…☆18Jul 12, 2023Updated 2 years ago
- ☆47Apr 26, 2024Updated last year
- Pytorch implementation of backdoor unlearning.☆21Jun 8, 2022Updated 3 years ago