csong27 / auditing-text-generationLinks
Code for Auditing Data Provenance in Text-Generation Models (in KDD 2019)
☆9Updated 6 years ago
Alternatives and similar repositories for auditing-text-generation
Users that are interested in auditing-text-generation are comparing it to the libraries listed below
Sorting:
- ☆23Updated 2 years ago
- ☆45Updated 5 years ago
- ☆31Updated 9 months ago
- ☆73Updated 3 years ago
- ☆19Updated 2 years ago
- Code for the paper: Label-Only Membership Inference Attacks☆65Updated 3 years ago
- Public implementation of the paper "On the Importance of Difficulty Calibration in Membership Inference Attacks".☆15Updated 3 years ago
- verifying machine unlearning by backdooring☆20Updated 2 years ago
- Code for Auditing DPSGD☆37Updated 3 years ago
- Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"☆32Updated 3 years ago
- ☆10Updated 3 years ago
- Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"☆37Updated 6 years ago
- ☆25Updated 3 years ago
- Code for ML Doctor☆91Updated 10 months ago
- ☆19Updated 9 months ago
- Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)☆50Updated 2 years ago
- ☆10Updated 4 years ago
- Membership Inference Attacks and Defenses in Neural Network Pruning☆28Updated 2 years ago
- Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.☆62Updated 8 months ago
- This repo implements several algorithms for learning with differential privacy.☆108Updated 2 years ago
- Privacy Risks of Securing Machine Learning Models against Adversarial Examples☆44Updated 5 years ago
- Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.☆60Updated 6 years ago
- Code related to the paper "Machine Unlearning of Features and Labels"☆70Updated last year
- ☆22Updated 4 years ago
- ☆15Updated last year
- ☆24Updated 3 years ago
- ☆24Updated 2 years ago
- Public implementation of ICML'19 paper "White-box vs Black-box: Bayes Optimal Strategies for Membership Inference"☆17Updated 5 years ago
- Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)☆48Updated 3 years ago
- [NDSS 2025] CENSOR: Defense Against Gradient Inversion via Orthogonal Subspace Bayesian Sampling☆14Updated 5 months ago