Alternatives and similar repositories for Targeted-Data-Extraction

Users that are interested in Targeted-Data-Extraction are comparing it to the libraries listed below

• 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
• mireshghallah / ft-memorization
  ☆13Updated 3 years ago
• amazon-science / controlling-llm-memorization
  ☆38Updated 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
• xinleihe / toxic-prompt
  ☆27Updated last year
• Yangyi-Chen / PaperList-Trustworthy-Applications
  Mostly recording papers about models' trustworthy applications. Intending to include topics like model evaluation & analysis, security, c…
  ☆21Updated 2 years ago
• Vaidehi99 / InfoDeletionAttacks
  ☆46Updated 8 months ago
• yihuaihong / ConceptVectors
  [EMNLP 2025 Main] ConceptVectors Benchmark and Code for the paper "Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces"
  ☆37Updated 2 months ago
• David-Li0406 / AI-Supervision-Risk
  ☆21Updated 7 months ago
• RockyLzy / TextDefender
  codes for "Searching for an Effective Defender:Benchmarking Defense against Adversarial Word Substitution"
  ☆31Updated 2 years ago
• declare-lab / resta
  Restore safety in fine-tuned language models through task arithmetic
  ☆29Updated last year
• Lordog / R-Judge
  R-Judge: Benchmarking Safety Risk Awareness for LLM Agents (EMNLP Findings 2024)
  ☆91Updated 5 months ago
• SafeAILab / RAIN
  [ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning
  ☆99Updated last year
• HKUST-KnowComp / LLM-Multistep-Jailbreak
  Code for Findings-EMNLP 2023 paper: Multi-step Jailbreaking Privacy Attacks on ChatGPT
  ☆35Updated 2 years ago
• SALT-NLP / Efficient_Unlearning
  ☆38Updated 2 years ago
• weichen-yu / LM-Extraction
  ☆43Updated 2 years ago
• HillZhang1999 / ICD
  Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"
  ☆69Updated last year
• snw2021 / LLM_Unlearning_Papers
  ☆26Updated last year
• SALT-NLP / chain-of-thought-bias
  ☆28Updated last year
• YihanWang617 / llm-jailbreaking-defense
  A lightweight library for large laguage model (LLM) jailbreaking defense.
  ☆58Updated last month
• princeton-nlp / benign-data-breaks-safety
  ☆41Updated last year
• jinzhuoran / RWKU
  RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models. NeurIPS 2024
  ☆85Updated last year
• mireshghallah / neighborhood-curvature-mia
  ☆23Updated 2 years ago
• kevinyaobytedance / llm_unlearn
  LLM Unlearning
  ☆177Updated 2 years ago
• AlexWan0 / Poisoning-Instruction-Tuned-Models
  ☆56Updated last year
• THU-BPM / Robust_Watermark
  Code and data for paper "A Semantic Invariant Robust Watermark for Large Language Models" accepted by ICLR 2024.
  ☆34Updated 11 months ago
• declare-lab / red-instruct
  Codes and datasets of the paper Red-Teaming Large Language Models using Chain of Utterances for Safety-Alignment
  ☆105Updated last year
• joeljang / knowledge-unlearning
  [ACL 2023] Knowledge Unlearning for Mitigating Privacy Risks in Language Models
  ☆83Updated last year
• hongbinye / Cognitive-Mirage-Hallucinations-in-LLMs
  Repository for the paper "Cognitive Mirage: A Review of Hallucinations in Large Language Models"
  ☆47Updated 2 years ago
• GodXuxilie / PromptAttack
  An LLM can Fool Itself: A Prompt-Based Adversarial Attack (ICLR 2024)
  ☆105Updated 9 months ago