lhfowl / robbing_the_fedLinks
☆26Updated 3 years ago
Alternatives and similar repositories for robbing_the_fed
Users that are interested in robbing_the_fed are comparing it to the libraries listed below
Sorting:
- [USENIX Security 2022] Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture☆17Updated 3 years ago
- Code for the paper: Label-Only Membership Inference Attacks☆66Updated 4 years ago
- ☆32Updated last year
- ☆54Updated 4 years ago
- ☆70Updated 3 years ago
- The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".☆34Updated 3 years ago
- A Fine-grained Differentially Private Federated Learning against Leakage from Gradients☆15Updated 2 years ago
- This repo implements several algorithms for learning with differential privacy.☆109Updated 2 years ago
- Anti-Backdoor learning (NeurIPS 2021)☆84Updated 2 years ago
- A pytorch implementation of the paper "Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage".☆61Updated 3 years ago
- [CVPRW'22] A privacy attack that exploits Adversarial Training models to compromise the privacy of Federated Learning systems.☆11Updated 3 years ago
- ☆19Updated 2 years ago
- ☆32Updated last year
- Membership Inference Attacks and Defenses in Neural Network Pruning☆28Updated 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 10 months ago
- Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)☆48Updated 3 years ago
- Public implementation of the paper "On the Importance of Difficulty Calibration in Membership Inference Attacks".☆16Updated 3 years ago
- Code for "Label-Consistent Backdoor Attacks"☆58Updated 4 years ago
- Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''☆53Updated 2 years ago
- Camouflage poisoning via machine unlearning☆17Updated 3 months ago
- Code related to the paper "Machine Unlearning of Features and Labels"☆71Updated last year
- Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)☆49Updated 3 years ago
- R-GAP: Recursive Gradient Attack on Privacy [Accepted at ICLR 2021]☆37Updated 2 years ago
- ☆21Updated 4 years ago
- ☆55Updated 2 years ago
- Official codes for "Understanding Deep Gradient Leakage via Inversion Influence Functions", NeurIPS 2023☆16Updated 2 years ago
- [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning☆32Updated 3 years ago
- [ICML 2023] Are Diffusion Models Vulnerable to Membership Inference Attacks?☆41Updated last year
- ☆19Updated last year
- [ICLR2023] Distilling Cognitive Backdoor Patterns within an Image☆36Updated last month