minxingzhang / MIARSLinks
Official code for the paper "Membership Inference Attacks Against Recommender Systems" (ACM CCS 2021)
☆19Updated last year
Alternatives and similar repositories for MIARS
Users that are interested in MIARS are comparing it to the libraries listed below
Sorting:
- 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
- Model Poisoning Attack to Federated Recommendation☆30Updated 3 years ago
- ☆45Updated 5 years ago
- ☆26Updated 6 years ago
- Adversarial attacks and defenses against federated learning.☆19Updated 2 years ago
- Code related to the paper "Machine Unlearning of Features and Labels"☆71Updated last year
- ☆38Updated 4 years ago
- Pytorch implementation of backdoor unlearning.☆21Updated 3 years ago
- Poisoning Deep Learning based Recommender Model in Federated Learning Scenarios☆16Updated 3 years ago
- [USENIX Security 2022] Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture☆17Updated 3 years ago
- ☆11Updated last year
- Code for the paper: Label-Only Membership Inference Attacks☆66Updated 4 years ago
- 基于《A Little Is Enough: Circumventing Defenses For Distributed Learning》的联邦学习攻击模型☆64Updated 5 years ago
- ☆70Updated 3 years ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆73Updated 4 years ago
- Locally Private Graph Neural Networks (ACM CCS 2021)☆49Updated 3 months ago
- A Fine-grained Differentially Private Federated Learning against Leakage from Gradients☆15Updated 2 years ago
- Official Repository for ResSFL (accepted by CVPR '22)☆24Updated 3 years ago
- Github Repo for AAAI 2023 paper: On the Vulnerability of Backdoor Defenses for Federated Learning☆40Updated 2 years ago
- Membership Inference Attacks and Defenses in Neural Network Pruning☆27Updated 3 years ago
- [ICLR 2023, Best Paper Award at ECCV’22 AROW Workshop] FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning☆61Updated 9 months ago
- KNN Defense Against Clean Label Poisoning Attacks☆12Updated 4 years ago
- ☆19Updated 2 years ago
- Privacy Risks of Securing Machine Learning Models against Adversarial Examples☆44Updated 5 years ago
- Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)☆48Updated 3 years ago
- ☆37Updated 3 years ago
- ☆18Updated 4 years ago
- Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)☆49Updated 3 years ago
- ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341☆74Updated 2 years ago
- A list of papers using/about Federated Learning especially malicious client and attacks.☆12Updated 5 years ago