Chriskuei / FedMatchLinks
CIKM 2021 Full Paper: FedMatch: Federated Learning Over Heterogeneous Question Answering Data
☆12Updated 3 years ago
Alternatives and similar repositories for FedMatch
Users that are interested in FedMatch are comparing it to the libraries listed below
Sorting:
- ☆21Updated 4 years ago
- ☆75Updated 3 years ago
- Official repo for the paper: Recovering Private Text in Federated Learning of Language Models (in NeurIPS 2022)☆59Updated 2 years ago
- ☆25Updated 4 years ago
- Natural Universal Trigger Search (NUTS)☆21Updated 4 years ago
- Official implementation of Privacy Implications of Retrieval-Based Language Models (EMNLP 2023). https://arxiv.org/abs/2305.14888☆36Updated last year
- Implementation of the paper "Exploring the Universal Vulnerability of Prompt-based Learning Paradigm" on Findings of NAACL 2022☆30Updated 3 years ago
- Code for the WWW'23 paper "Sanitizing Sentence Embeddings (and Labels) for Local Differential Privacy"☆12Updated 2 years ago
- A codebase that makes differentially private training of transformers easy.☆176Updated 2 years ago
- ☆25Updated 4 years ago
- TextHide: Tackling Data Privacy in Language Understanding Tasks☆31Updated 4 years ago
- Training data extraction on GPT-2☆193Updated 2 years ago
- [ICLR'24 Spotlight] DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer☆46Updated last year
- ☆12Updated 2 years ago
- ☆13Updated 2 years ago
- Code and data repository for two papers (ACL & EMNLP 2024) on the topic of collapse in model editing.☆10Updated 9 months ago
- For Certified Robustness to Text Adversarial Attacks by Randomized [MASK]☆16Updated 11 months ago
- FedNLP: An Industry and Research Integrated Platform for Federated Learning in Natural Language Processing, Backed by FedML, Inc. The Pre…☆223Updated 3 years ago
- Official Code for ACL 2023 paper: "Ethicist: Targeted Training Data Extraction Through Loss Smoothed Soft Prompting and Calibrated Confid…☆23Updated 2 years ago
- Code for ACL2018 HotFlip: White-Box Adversarial Examples for Text Classification, Word-level Adversarial Examples☆36Updated 6 years ago
- Code for the paper "Weight Poisoning Attacks on Pre-trained Models" (ACL 2020)☆143Updated last week
- Privacy-Preserving Prompt Tuning for Large Language Model☆28Updated last year
- A2T: Towards Improving Adversarial Training of NLP Models (EMNLP 2021 Findings)☆26Updated 4 years ago
- [ACL 2020] Towards Debiasing Sentence Representations☆66Updated 2 years ago
- [Findings of ACL 2023] Communication Efficient Federated Learning for Multilingual Machine Translation with Adapter☆12Updated 2 years ago
- codes for "Searching for an Effective Defender:Benchmarking Defense against Adversarial Word Substitution"☆31Updated last year
- Code for the paper "Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP Models" (NAACL-…☆42Updated 4 years ago
- 🤫 Code and benchmark for our ICLR 2024 spotlight paper: "Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Con…☆44Updated last year
- Official implementation of the EMNLP 2021 paper "ONION: A Simple and Effective Defense Against Textual Backdoor Attacks"☆34Updated 3 years ago
- ☆28Updated last year