xiangyue9607 / DP-ForwardLinks
☆25Updated last year
Alternatives and similar repositories for DP-Forward
Users that are interested in DP-Forward are comparing it to the libraries listed below
Sorting:
- ☆55Updated 2 years ago
- Official repo for the paper: Recovering Private Text in Federated Learning of Language Models (in NeurIPS 2022)☆61Updated 2 years ago
- [CCS 2021] "DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation" by Boxin Wang*, Fan Wu*, Yunhui Long…☆36Updated 4 years ago
- ☆72Updated 3 years ago
- Code for ML Doctor☆92Updated last year
- ☆25Updated 3 years ago
- This repo implements several algorithms for learning with differential privacy.☆111Updated 3 years ago
- Federated Learning Framework Benchmark (UniFed)☆49Updated 2 years ago
- THU-AIR Vertical Federated Learning general, extensible and light-weight framework☆101Updated last year
- [NeurIPS 2022] JAX/Haiku implementation of "On Privacy and Personalization in Cross-Silo Federated Learning"☆27Updated 2 years ago
- Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)☆50Updated 3 years ago
- ☆77Updated 3 years ago
- A pytorch implementation of the paper "Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage".☆62Updated 3 years ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆74Updated 4 years ago
- [ICLR2024] "Backdoor Federated Learning by Poisoning Backdoor-Critical Layers"☆51Updated last year
- The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".☆35Updated 3 years ago
- ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341☆81Updated 2 years ago
- A curated list of advancements in Vertical Federated Learning, frameworks and libraries.☆38Updated 5 months ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆57Updated 2 years ago
- Code Repo for paper Label Leakage and Protection in Two-party Split Learning (ICLR 2022).☆22Updated 3 years ago
- ☆27Updated 2 years ago
- Code for the paper: Label-Only Membership Inference Attacks☆67Updated 4 years ago
- Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)☆48Updated 3 years ago
- Code related to the paper "Machine Unlearning of Features and Labels"☆72Updated last year
- ☆47Updated last year
- ☆65Updated 2 years ago
- Code for NDSS '25 paper "Passive Inference Attacks on Split Learning via Adversarial Regularization"☆13Updated last year
- Official codes for "Understanding Deep Gradient Leakage via Inversion Influence Functions", NeurIPS 2023☆16Updated 2 years ago
- [ICLR 2023, Best Paper Award at ECCV’22 AROW Workshop] FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning☆60Updated last year
- Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.☆65Updated last year