Hazelsuko07 / TextHide
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
- ☆27Updated 4 years ago
- ☆9Updated 4 years ago
- ☆27Updated 2 years ago
- Implementation for Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder (EMNLP-Findings 2020)☆15Updated 4 years ago
- Official repo for the paper: Recovering Private Text in Federated Learning of Language Models (in NeurIPS 2022)☆56Updated 2 years ago
- ☆22Updated 2 years ago
- Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19☆34Updated 3 years ago
- ☆29Updated 3 years ago
- Code for the paper "Weight Poisoning Attacks on Pre-trained Models" (ACL 2020)☆141Updated 3 years ago
- CIKM 2021 Full Paper: FedMatch: Federated Learning Over Heterogeneous Question Answering Data☆12Updated 3 years ago
- ☆25Updated 3 years ago
- [Preprint] On the Effectiveness of Mitigating Data Poisoning Attacks with Gradient Shaping☆10Updated 5 years ago
- Computationally friendly hyper-parameter search with DP-SGD☆25Updated 4 months ago
- ☆26Updated last year
- ☆9Updated 3 years ago
- ☆17Updated 4 years ago
- Code for the paper "Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP Models" (NAACL-…☆40Updated 3 years ago
- Code for ACL2018 HotFlip: White-Box Adversarial Examples for Text Classification, Word-level Adversarial Examples☆35Updated 6 years ago
- Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"☆37Updated 6 years ago
- [ICLR'24 Spotlight] DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer☆41Updated 11 months ago
- Differentially Private Conditional Generative Adversarial Network☆31Updated 3 years ago
- Code for the WWW'23 paper "Sanitizing Sentence Embeddings (and Labels) for Local Differential Privacy"☆11Updated 2 years ago
- simple Differential Privacy in PyTorch☆48Updated 4 years ago
- Implementation of the paper "Exploring the Universal Vulnerability of Prompt-based Learning Paradigm" on Findings of NAACL 2022☆29Updated 2 years ago
- Pytorch implementation of paper Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data (https://arxiv.org/abs/16…☆44Updated 3 years ago
- This repo implements several algorithms for learning with differential privacy.☆108Updated 2 years ago
- Differentially Private Generative Adversarial Networks for Time Series, Continuous, and Discrete Open Data☆33Updated 6 years ago
- The code reproduces the results of the experiments in the paper. In particular, it performs experiments in which machine-learning models …☆20Updated 3 years ago
- ☆73Updated 2 years ago