layer6ai-labs / fair-dpLinks
Code accompanying the paper "Disparate Impact in Differential Privacy from Gradient Misalignment".
☆10Updated 2 years ago
Alternatives and similar repositories for fair-dp
Users that are interested in fair-dp are comparing it to the libraries listed below
Sorting:
- Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.☆63Updated 10 months ago
- This repo implements several algorithms for learning with differential privacy.☆109Updated 2 years ago
- Official code repository for our accepted work "Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning" in NeurI…☆24Updated 11 months ago
- Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"☆32Updated 3 years ago
- ☆70Updated 3 years ago
- ☆15Updated 2 years ago
- ☆39Updated 4 years ago
- ☆15Updated last year
- ☆13Updated 2 years ago
- Amortized version of the differentially private SGD algorithm published in "Deep Learning with Differential Privacy" by Abadi et al. Enfo…☆41Updated last year
- Code related to the paper "Machine Unlearning of Features and Labels"☆71Updated last year
- Official PyTorch implementation of DENSE (NeurIPS 2022)☆30Updated 2 years ago
- Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.☆58Updated 6 years ago
- ☆54Updated 4 years ago
- Adversarial attacks and defenses against federated learning.☆19Updated 2 years ago
- ☆16Updated last year
- ☆18Updated 4 years ago
- The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".☆34Updated 2 years ago
- [ICLR 2023, Best Paper Award at ECCV’22 AROW Workshop] FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning☆59Updated 8 months ago
- ☆17Updated 3 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆42Updated 3 years ago
- ☆54Updated 2 years ago
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆147Updated 3 years ago
- (SIGKDD 2022) Connected Low-Loss Subspace Learning for a Personalization in Federated Learning (https://arxiv.org/abs/2109.07628)☆31Updated last year
- The code of the attack scheme in the paper "Backdoor Attack Against Split Neural Network-Based Vertical Federated Learning"☆20Updated last year
- This is a simple backdoor model for federated learning.We use MNIST as the original data set for data attack and we use CIFAR-10 data set…☆14Updated 5 years ago
- Code for novel methods for one-shot Federated Learning under high statistical heterogeneity.☆18Updated last year
- ☆30Updated 4 years ago
- Local Differential Privacy for Federated Learning☆17Updated 2 years ago
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆84Updated 2 years ago