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
  ☆21Updated 4 years ago
• mireshghallah / neighborhood-curvature-mia
  ☆25Updated 2 years ago
• mireshghallah / ft-memorization
  ☆13Updated 3 years ago
• thunlp / NeuBA
  ☆25Updated 4 years ago
• Princeton-SysML / kNNLM_privacy
  Official implementation of Privacy Implications of Retrieval-Based Language Models (EMNLP 2023). https://arxiv.org/abs/2305.14888
  ☆37Updated last year
• xiangyue9607 / Sentence-LDP
  Code for the WWW'23 paper "Sanitizing Sentence Embeddings (and Labels) for Local Differential Privacy"
  ☆12Updated 2 years ago
• VITA-Group / DP-OPT
  [ICLR'24 Spotlight] DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer
  ☆46Updated last year
• Princeton-SysML / FILM
  Official repo for the paper: Recovering Private Text in Federated Learning of Language Models (in NeurIPS 2022)
  ☆61Updated 2 years ago
• Vaidehi99 / InfoDeletionAttacks
  ☆48Updated 11 months ago
• facebookresearch / text-adversarial-attack
  Repo for arXiv preprint "Gradient-based Adversarial Attacks against Text Transformers"
  ☆110Updated 3 years ago
• microsoft / dp-few-shot-generation
  ☆28Updated 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…
  ☆50Updated 2 years ago
• pratyushmaini / llm_dataset_inference
  Official Repository for Dataset Inference for LLMs
  ☆43Updated last year
• XuandongZhao / DRW
  [EMNLP 2022] Distillation-Resistant Watermarking (DRW) for Model Protection in NLP
  ☆13Updated 2 years ago
• weichen-yu / LM-Extraction
  ☆43Updated 2 years ago
• huseyinatahaninan / Differentially-Private-Fine-tuning-of-Language-Models
  ☆77Updated 3 years ago
• trusthlt / dp-rewrite
  DP-Rewrite: Towards Reproducibility and Transparency in Differentially Private Text Rewriting
  ☆15Updated 2 years ago
• AlexWan0 / Poisoning-Instruction-Tuned-Models
  ☆58Updated last year
• leix28 / prompt-universal-vulnerability
  Implementation of the paper "Exploring the Universal Vulnerability of Prompt-based Learning Paradigm" on Findings of NAACL 2022
  ☆32Updated 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…
  ☆23Updated 2 years ago
• Chriskuei / FedMatch
  CIKM 2021 Full Paper: FedMatch: Federated Learning Over Heterogeneous Question Answering Data
  ☆12Updated 4 years ago
• jeffhj / LM_PersonalInfoLeak
  The code and data for "Are Large Pre-Trained Language Models Leaking Your Personal Information?" (Findings of EMNLP '22)
  ☆27Updated 3 years ago
• xinleihe / toxic-prompt
  ☆27Updated 2 years ago
• orionw / Multilingual-Federated-Learning
  Code for the paper "Pretrained Models for Multilingual Federated Learning" at NAACL 2022
  ☆11Updated 3 years ago
• RockyLzy / TextDefender
  codes for "Searching for an Effective Defender:Benchmarking Defense against Adversarial Word Substitution"
  ☆31Updated 2 years ago
• lancopku / SOS
  Code for the paper "Rethinking Stealthiness of Backdoor Attack against NLP Models" (ACL-IJCNLP 2021)
  ☆24Updated 4 years ago
• parameterlab / mia-scaling
  Source code of NAACL 2025 Findings "Scaling Up Membership Inference: When and How Attacks Succeed on Large Language Models"
  ☆15Updated last month
• SafeAILab / RAIN
  [ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning
  ☆98Updated last year
• ftramer / LM_Memorization
  Training data extraction on GPT-2
  ☆195Updated 2 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
  ☆21Updated 3 years ago