Alternatives and similar repositories for FedMatch

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

• thunlp / NeuBA
  ☆25Updated 4 years ago
• wyshi / lm_privacy
  ☆21Updated 4 years ago
• Hsuan-Tung / universal_attack_natural_trigger
  Natural Universal Trigger Search (NUTS)
  ☆21Updated 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
  ☆36Updated last year
• huseyinatahaninan / Differentially-Private-Fine-tuning-of-Language-Models
  ☆75Updated 3 years ago
• Princeton-SysML / FILM
  Official repo for the paper: Recovering Private Text in Federated Learning of Language Models (in NeurIPS 2022)
  ☆61Updated 2 years ago
• leix28 / prompt-universal-vulnerability
  Implementation of the paper "Exploring the Universal Vulnerability of Prompt-based Learning Paradigm" on Findings of NAACL 2022
  ☆30Updated 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
• Hazelsuko07 / TextHide
  TextHide: Tackling Data Privacy in Language Understanding Tasks
  ☆31Updated 4 years ago
• VITA-Group / DP-OPT
  [ICLR'24 Spotlight] DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer
  ☆46Updated last year
• mireshghallah / ft-memorization
  ☆13Updated 3 years ago
• csong27 / collision-bert
  ☆25Updated 4 years ago
• lxuechen / private-transformers
  A codebase that makes differentially private training of transformers easy.
  ☆176Updated 2 years ago
• wyshi / sdp_transformers
  ☆12Updated 2 years ago
• mcoavoux / pnet
  ☆12Updated 6 years ago
• Chen-X666 / privacy-preserving-prompt
  Privacy-Preserving Prompt Tuning for Large Language Model
  ☆28Updated 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-…
  ☆42Updated 4 years ago
• cookielee77 / CLARE
  Contextualized Perturbation for Textual Adversarial Attack, NAACL 2021
  ☆43Updated 4 years ago
• QData / TextAttack-A2T
  A2T: Towards Improving Adversarial Training of NLP Models (EMNLP 2021 Findings)
  ☆26Updated 4 years ago
• neulab / RIPPLe
  Code for the paper "Weight Poisoning Attacks on Pre-trained Models" (ACL 2020)
  ☆142Updated last month
• ftramer / LM_Memorization
  Training data extraction on GPT-2
  ☆193Updated 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
• anyirao / WordAdver
  Code for ACL2018 HotFlip: White-Box Adversarial Examples for Text Classification, Word-level Adversarial Examples
  ☆37Updated 6 years ago
• AlexWan0 / Poisoning-Instruction-Tuned-Models
  ☆56Updated last year
• mireshghallah / neighborhood-curvature-mia
  ☆22Updated 2 years ago
• trusthlt / dp-bart-private-rewriting
  DP-BART for Privatized Text Rewriting under Local Differential Privacy
  ☆17Updated 11 months ago
• xiangyue9607 / Sentence-LDP
  Code for the WWW'23 paper "Sanitizing Sentence Embeddings (and Labels) for Local Differential Privacy"
  ☆12Updated 2 years ago
• nuaa-nlp / TrustworthyAIPapers
  List of Papers on Attack and Defense (AD) in AI Models
  ☆26Updated 3 years ago
• thunlp / ONION
  Official implementation of the EMNLP 2021 paper "ONION: A Simple and Effective Defense Against Textual Backdoor Attacks"
  ☆35Updated 3 years ago
• LinyangLee / BERT-Attack
  Code for EMNLP2020 long paper: BERT-Attack: Adversarial Attack Against BERT Using BERT
  ☆201Updated 5 years ago