facebookresearch / calibration_membership
Public implementation of the paper "On the Importance of Difficulty Calibration in Membership Inference Attacks".
☆16Updated 3 years ago
Alternatives and similar repositories for calibration_membership:
Users that are interested in calibration_membership are comparing it to the libraries listed below
- ☆19Updated 5 months ago
- ☆20Updated last year
- Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)☆48Updated 2 years ago
- Membership Inference Attacks and Defenses in Neural Network Pruning☆28Updated 2 years ago
- Code for the paper: Label-Only Membership Inference Attacks☆64Updated 3 years ago
- ☆31Updated 5 months ago
- ☆45Updated 5 years ago
- ☆24Updated 2 years ago
- ☆23Updated 3 years ago
- ☆23Updated 2 years ago
- The source code for ICML2021 paper When Does Data Augmentation Help With Membership Inference Attacks?☆8Updated 3 years ago
- [ICML 2023] Are Diffusion Models Vulnerable to Membership Inference Attacks?☆32Updated 5 months ago
- verifying machine unlearning by backdooring☆20Updated last year
- RAB: Provable Robustness Against Backdoor Attacks☆39Updated last year
- Camouflage poisoning via machine unlearning☆16Updated 2 years ago
- ☆17Updated 3 years ago
- [ICLR2023] Distilling Cognitive Backdoor Patterns within an Image☆32Updated 4 months ago
- [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning☆32Updated 2 years ago
- The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".☆30Updated 2 years ago
- Backdoor Safety Tuning (NeurIPS 2023 & 2024 Spotlight)☆25Updated 3 months ago
- [ICLR 2023, Best Paper Award at ECCV’22 AROW Workshop] FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning☆52Updated 2 months ago
- A minimal PyTorch implementation of Label-Consistent Backdoor Attacks☆30Updated 4 years ago
- This is the implementation for CVPR 2022 Oral paper "Better Trigger Inversion Optimization in Backdoor Scanning."☆24Updated 2 years ago
- Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"☆38Updated 6 years ago
- Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.☆58Updated 5 years ago
- ☆19Updated 2 years ago
- Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)