Code & supplementary material of the paper Label Inference Attacks Against Federated Learning on Usenix Security 2022.
☆86Jun 27, 2023Updated 2 years ago
Alternatives and similar repositories for label-inference-attacks
Users that are interested in label-inference-attacks are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- The implementatioin code of paper: “A Practical Clean-Label Backdoor Attack with Limited Information in Vertical Federated Learning”☆11Jul 1, 2023Updated 2 years ago
- Code Repo for paper Label Leakage and Protection in Two-party Split Learning (ICLR 2022).☆22Mar 12, 2022Updated 4 years ago
- ☆25Jul 12, 2021Updated 4 years ago
- The code of the attack scheme in the paper "Backdoor Attack Against Split Neural Network-Based Vertical Federated Learning"☆21Oct 13, 2023Updated 2 years ago
- [ACM Computing Survey 2025] Vertical Federated Learning for Effectiveness, Security, Applicability: A Survey, by MARS Group at Wuhan Univ…☆23Apr 9, 2025Updated 11 months ago
- THU-AIR Vertical Federated Learning general, extensible and light-weight framework☆103Jul 18, 2024Updated last year
- Membership Inference Attack on Federated Learning☆12Jan 14, 2022Updated 4 years ago
- Paper: UniTrans: A Unified Vertical Federated Knowledge Transfer Framework for Enhancing Cross-Hospital Collaboration☆16Dec 31, 2024Updated last year
- ☆12Nov 26, 2019Updated 6 years ago
- ☆17Jun 25, 2024Updated last year
- CoPur: Certifiably Robust Collaborative Inference via Feature Purification (NeurIPS 2022)☆11Dec 7, 2022Updated 3 years ago
- ☆35Oct 4, 2021Updated 4 years ago
- Gradient-Leakage Resilient Federated Learning☆14Jul 25, 2022Updated 3 years ago
- ☆21Oct 25, 2021Updated 4 years ago
- KNN Defense Against Clean Label Poisoning Attacks☆13Sep 24, 2021Updated 4 years ago
- OLIVE: Oblivious and Differentially Private Federated Learning on TEE☆17May 10, 2023Updated 2 years ago
- Code for Paper "Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption"☆34Nov 17, 2022Updated 3 years ago
- Federated Learning and Membership Inference Attacks experiments on CIFAR10☆23Jan 29, 2020Updated 6 years ago
- ⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning☆156Feb 16, 2025Updated last year
- The implementation of FedBCD algorithm published in the paper "FedBCD: A Communication-Efficient Collaborative Learning Framework for Dis…☆15Jul 2, 2024Updated last year
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆151Aug 6, 2022Updated 3 years ago
- A curated list of advancements in Vertical Federated Learning, frameworks and libraries.☆38Jul 29, 2025Updated 7 months ago
- Code for the paper "Deep Partition Aggregation: Provable Defenses against General Poisoning Attacks"☆13Aug 22, 2022Updated 3 years ago
- A coupled vertical federated learning framework that boosts the model performance with record similarities (NeurIPS 2022)☆28Mar 28, 2023Updated 2 years ago
- Privacy-preserving Federated Learning with Trusted Execution Environments☆74Jul 10, 2025Updated 8 months ago
- The reproduction of the paper Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning.☆63Feb 2, 2023Updated 3 years ago
- Algorithms to recover input data from their gradient signal through a neural network☆317Apr 14, 2023Updated 2 years ago
- ☆52Aug 28, 2021Updated 4 years ago
- RAB: Provable Robustness Against Backdoor Attacks☆39Oct 3, 2023Updated 2 years ago
- Pytorch implementation of Backdoor Attack against Speaker Verification☆28Sep 19, 2023Updated 2 years ago
- [ICLR 2023] Multimodal Federated Learning via Contrastive Representation Ensemble☆129Dec 20, 2024Updated last year
- ☆17Feb 17, 2024Updated 2 years ago
- Breaching privacy in federated learning scenarios for vision and text☆316Jan 24, 2026Updated 2 months ago
- ☆10Aug 19, 2023Updated 2 years ago
- ☆38Apr 9, 2021Updated 4 years ago
- Practical Vertical Federated Learning with Unsupervised Representation Learning (TBD 2022)☆22Feb 21, 2022Updated 4 years ago
- ☆10Apr 21, 2022Updated 3 years ago
- Code implementation of the paper "Federated Unlearning: How to Efficiently Erase a Client in FL?" published at UpML (part of ICML 2022)☆45Sep 17, 2025Updated 6 months ago
- [ICLR2023] Distilling Cognitive Backdoor Patterns within an Image☆36Oct 29, 2025Updated 4 months ago