trusthlt / dp-bart-private-rewriting
DP-BART for Privatized Text Rewriting under Local Differential Privacy
☆14Updated 3 weeks ago
Related projects ⓘ
Alternatives and complementary repositories for dp-bart-private-rewriting
- ☆66Updated 2 years ago
- DP-Rewrite: Towards Reproducibility and Transparency in Differentially Private Text Rewriting☆15Updated last year
- ☆18Updated 3 years ago
- This repo implements several algorithms for learning with differential privacy.☆102Updated last year
- Official repo for the paper: Recovering Private Text in Federated Learning of Language Models (in NeurIPS 2022)☆57Updated last year
- [CCS 2021] "DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation" by Boxin Wang*, Fan Wu*, Yunhui Long…☆37Updated 2 years ago
- ☆12Updated last year
- ☆20Updated 7 months ago
- ☆16Updated 2 years ago
- ☆22Updated 11 months ago
- Code and data of the ACL-IJCNLP 2021 paper "Hidden Killer: Invisible Textual Backdoor Attacks with Syntactic Trigger"☆37Updated 2 years ago
- [ICLR'24 Spotlight] DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer☆32Updated 5 months ago
- A codebase that makes differentially private training of transformers easy.☆159Updated last year
- Code for Findings of ACL 2021 "Differential Privacy for Text Analytics via Natural Text Sanitization"☆26Updated 2 years ago
- Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"☆30Updated 2 years ago
- [ICML 2024 Spotlight] Differentially Private Synthetic Data via Foundation Model APIs 2: Text☆28Updated last week
- Code for the paper "BadPrompt: Backdoor Attacks on Continuous Prompts"☆36Updated 4 months ago
- Code for Auditing Data Provenance in Text-Generation Models (in KDD 2019)☆9Updated 5 years ago
- ☆10Updated 4 years ago
- ☆13Updated last year
- A survey of privacy problems in Large Language Models (LLMs). Contains summary of the corresponding paper along with relevant code☆63Updated 5 months ago
- Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.☆56Updated last month
- A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.☆70Updated 9 months ago
- Federated Learning Framework Benchmark (UniFed)☆47Updated last year
- [ICLR2024] "Backdoor Federated Learning by Poisoning Backdoor-Critical Layers"☆19Updated 10 months ago
- Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.☆52Updated 5 years ago
- Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)☆53Updated 5 years ago
- Code related to the paper "Machine Unlearning of Features and Labels"☆68Updated 9 months ago
- ☆27Updated last year
- DPSUR☆20Updated 4 months ago