Hazelsuko07 / TextHideLinks
TextHide: Tackling Data Privacy in Language Understanding Tasks
☆31Updated 4 years ago
Alternatives and similar repositories for TextHide
Users that are interested in TextHide are comparing it to the libraries listed below
Sorting:
- ☆18Updated 3 years ago
- ☆26Updated 4 years ago
- ☆9Updated 4 years ago
- Implementation for Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder (EMNLP-Findings 2020)☆15Updated 4 years ago
- Code for the paper "Weight Poisoning Attacks on Pre-trained Models" (ACL 2020)☆141Updated 3 years ago
- ☆27Updated 2 years ago
- Code for "Imitation Attacks and Defenses for Black-box Machine Translations Systems"☆35Updated 5 years ago
- A codebase that makes differentially private training of transformers easy.☆175Updated 2 years ago
- Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19☆34Updated 4 years ago
- ☆17Updated 4 years ago
- CIKM 2021 Full Paper: FedMatch: Federated Learning Over Heterogeneous Question Answering Data☆12Updated 3 years ago
- ☆50Updated 2 years ago
- ☆57Updated last year
- Research prototype of deletion efficient k-means algorithms☆24Updated 5 years ago
- Training data extraction on GPT-2☆188Updated 2 years ago
- ☆18Updated 3 years ago
- ☆22Updated 2 years ago
- Code for the WWW'23 paper "Sanitizing Sentence Embeddings (and Labels) for Local Differential Privacy"☆12Updated 2 years ago
- Python package to create adversarial agents for membership inference attacks againts machine learning models☆47Updated 6 years ago
- ☆25Updated 4 years ago
- ☆30Updated 3 years ago
- [ICML 2021] Information Obfuscation of Graph Neural Networks☆36Updated 4 years ago
- Official repo for the paper: Recovering Private Text in Federated Learning of Language Models (in NeurIPS 2022)☆57Updated 2 years ago
- ☆37Updated 3 years ago
- ☆12Updated 2 years ago
- ☆32Updated 7 years ago
- Code for paper: "Spinning Language Models: Risks of Propaganda-as-a-Service and Countermeasures"☆22Updated 3 years ago
- Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"☆37Updated 6 years ago
- Implementation of the paper "Exploring the Universal Vulnerability of Prompt-based Learning Paradigm" on Findings of NAACL 2022☆29Updated 3 years ago
- [ICLR'24 Spotlight] DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer☆44Updated last year