Alternatives and similar repositories for sdp_transformers:

Users that are interested in sdp_transformers are comparing it to the libraries listed below

• wyshi / lm_privacy
  ☆18Updated 3 years ago
• trusthlt / dp-rewrite
  DP-Rewrite: Towards Reproducibility and Transparency in Differentially Private Text Rewriting
  ☆14Updated last year
• xlhex / dpnlp
  ☆9Updated 4 years ago
• trusthlt / dp-bart-private-rewriting
  DP-BART for Privatized Text Rewriting under Local Differential Privacy
  ☆16Updated 5 months ago
• xiangyue9607 / Sentence-LDP
  Code for the WWW'23 paper "Sanitizing Sentence Embeddings (and Labels) for Local Differential Privacy"
  ☆10Updated 2 years ago
• thunlp / NeuBA
  ☆25Updated 3 years ago
• microsoft / dp-few-shot-generation
  ☆25Updated last year
• VITA-Group / DP-OPT
  [ICLR'24 Spotlight] DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer
  ☆39Updated 10 months ago
• Princeton-SysML / kNNLM_privacy
  Official implementation of Privacy Implications of Retrieval-Based Language Models (EMNLP 2023). https://arxiv.org/abs/2305.14888
  ☆35Updated 9 months ago
• Hazelsuko07 / TextHide
  TextHide: Tackling Data Privacy in Language Understanding Tasks
  ☆31Updated 3 years ago
• thu-coai / Targeted-Data-Extraction
  Official Code for ACL 2023 paper: "Ethicist: Targeted Training Data Extraction Through Loss Smoothed Soft Prompting and Calibrated Confid…
  ☆22Updated last year
• pratyushmaini / llm_dataset_inference
  Official Repository for Dataset Inference for LLMs
  ☆32Updated 8 months ago
• mireshghallah / neighborhood-curvature-mia
  ☆21Updated last year
• mireshghallah / ft-memorization
  ☆11Updated 2 years ago
• ShannonAI / backdoor_nlg
  ☆15Updated 3 years ago
• huseyinatahaninan / Differentially-Private-Fine-tuning-of-Language-Models
  ☆72Updated 2 years ago
• Princeton-SysML / FILM
  Official repo for the paper: Recovering Private Text in Federated Learning of Language Models (in NeurIPS 2022)
  ☆56Updated 2 years ago
• amazon-science / controlling-llm-memorization
  ☆35Updated last year
• leix28 / prompt-universal-vulnerability
  Implementation of the paper "Exploring the Universal Vulnerability of Prompt-based Learning Paradigm" on Findings of NAACL 2022
  ☆29Updated 2 years ago
• skywalker023 / confaide
  🤫 Code and benchmark for our ICLR 2024 spotlight paper: "Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Con…
  ☆41Updated last year
• xlhex / cater_neurips
  ☆6Updated 2 years ago
• SMILELab-FL / FedLegal
  The first real-world FL benchmark for legal NLP
  ☆11Updated last year
• lancopku / Embedding-Poisoning
  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
• Vaidehi99 / InfoDeletionAttacks
  ☆42Updated last month
• xiangyue9607 / SanText
  Code for Findings of ACL 2021 "Differential Privacy for Text Analytics via Natural Text Sanitization"
  ☆27Updated 3 years ago
• mcoavoux / pnet
  ☆12Updated 5 years ago
• XuandongZhao / DRW
  [EMNLP 2022] Distillation-Resistant Watermarking (DRW) for Model Protection in NLP
  ☆13Updated last year
• papersPapers / BadPrompt
  Code for the paper "BadPrompt: Backdoor Attacks on Continuous Prompts"
  ☆36Updated 8 months ago
• Chriskuei / FedMatch
  CIKM 2021 Full Paper: FedMatch: Federated Learning Over Heterogeneous Question Answering Data
  ☆12Updated 3 years ago
• AI-secure / SemAttack
  [NAACL 2022] "SemAttack: Natural Textual Attacks via Different Semantic Spaces" by Boxin Wang, Chejian Xu, Xiangyu Liu, Yu Cheng, Bo Li
  ☆19Updated 2 years ago