Alternatives and similar repositories for controlling-llm-memorization

Users that are interested in controlling-llm-memorization are comparing it to the libraries listed below

• yihuaihong / ConceptVectors
  [EMNLP 2025 Main] ConceptVectors Benchmark and Code for the paper "Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces"
  ☆36Updated last week
• yaojin17 / Unlearning_LLM
  [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"
  ☆59Updated 11 months ago
• mireshghallah / ft-memorization
  ☆13Updated 2 years ago
• SafeAILab / RAIN
  [ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning
  ☆97Updated last year
• skywalker023 / confaide
  🤫 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
• pratyushmaini / llm_dataset_inference
  Official Repository for Dataset Inference for LLMs
  ☆37Updated last year
• 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
• Vaidehi99 / InfoDeletionAttacks
  ☆44Updated 6 months ago
• kevinyaobytedance / llm_unlearn
  LLM Unlearning
  ☆174Updated last year
• joeljang / knowledge-unlearning
  [ACL 2023] Knowledge Unlearning for Mitigating Privacy Risks in Language Models
  ☆82Updated 11 months ago
• paul-rottger / xstest
  Röttger et al. (NAACL 2024): "XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models"
  ☆110Updated 6 months ago
• allenai / wildguard
  Open One-Stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMs
  ☆89Updated 8 months ago
• boyiwei / CoTaEval
  [NeurIPS 2024 D&B] Evaluating Copyright Takedown Methods for Language Models
  ☆17Updated last year
• vinid / safety-tuned-llamas
  ICLR2024 Paper. Showing properties of safety tuning and exaggerated safety.
  ☆87Updated last year
• 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
• declare-lab / red-instruct
  Codes and datasets of the paper Red-Teaming Large Language Models using Chain of Utterances for Safety-Alignment
  ☆103Updated last year
• iamgroot42 / mimir
  Python package for measuring memorization in LLMs.
  ☆163Updated last month
• VITA-Group / DP-OPT
  [ICLR'24 Spotlight] DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer
  ☆45Updated last year
• franciscoliu / SKU
  Official code implementation of SKU, Accepted by ACL 2024 Findings
  ☆16Updated 8 months ago
• jthickstun / watermark
  Code for watermarking language models
  ☆81Updated 11 months ago
• XuandongZhao / weak-to-strong
  [ICML 2025] Weak-to-Strong Jailbreaking on Large Language Models
  ☆85Updated 3 months ago
• uw-nsl / SafeDecoding
  Official Repository for ACL 2024 Paper SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding
  ☆142Updated last year
• Lordog / R-Judge
  R-Judge: Benchmarking Safety Risk Awareness for LLM Agents (EMNLP Findings 2024)
  ☆85Updated 3 months ago
• swj0419 / detect-pretrain-code
  This repository provides an original implementation of Detecting Pretraining Data from Large Language Models by *Weijia Shi, *Anirudh Aji…
  ☆230Updated last year
• SALT-NLP / Efficient_Unlearning
  ☆38Updated last year
• zjysteven / mink-plus-plus
  [ICLR'25 Spotlight] Min-K%++: Improved baseline for detecting pre-training data of LLMs
  ☆42Updated 3 months ago
• licong-lin / negative-preference-optimization
  ☆59Updated last year
• princeton-nlp / corpus-poisoning
  [EMNLP 2023] Poisoning Retrieval Corpora by Injecting Adversarial Passages https://arxiv.org/abs/2310.19156
  ☆36Updated last year
• declare-lab / resta
  Restore safety in fine-tuned language models through task arithmetic
  ☆28Updated last year
• poloclub / llm-landscape
  NeurIPS'24 - LLM Safety Landscape
  ☆28Updated 6 months ago