Alternatives and similar repositories for PrivacyMind

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

• zepingyu0512 / awesome-SAE
  awesome SAE papers
  ☆54Updated 5 months ago
• KID-22 / LLM-Unlearning-Paper-List
  ☆28Updated last year
• swj0419 / muse_bench
  ☆28Updated 7 months ago
• ZFancy / awesome-activation-engineering
  A curated list of resources for activation engineering
  ☆107Updated 3 weeks ago
• jinzhuoran / RWKU
  RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models. NeurIPS 2024
  ☆83Updated last year
• git-disl / awesome_LLM-harmful-fine-tuning-papers
  A survey on harmful fine-tuning attack for large language model
  ☆215Updated last week
• boyiwei / alignment-attribution-code
  [ICML 2024] Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications
  ☆85Updated 6 months ago
• wonderNefelibata / Awesome-LRM-Safety
  Awesome Large Reasoning Model(LRM) Safety.This repository is used to collect security-related research on large reasoning models such as …
  ☆76Updated this week
• Unispac / shallow-vs-deep-alignment
  Official Repository for The Paper: Safety Alignment Should Be Made More Than Just a Few Tokens Deep
  ☆160Updated 6 months ago
• MartinPawelczyk / In-Context-Unlearning
  "In-Context Unlearning: Language Models as Few Shot Unlearners". Martin Pawelczyk, Seth Neel* and Himabindu Lakkaraju*; ICML 2024.
  ☆28Updated 2 years ago
• SALT-NLP / Efficient_Unlearning
  ☆38Updated 2 years ago
• tmlr-group / AR-Bench
  [ICML 2025] "From Passive to Active Reasoning: Can Large Language Models Ask the Right Questions under Incomplete Information?"
  ☆45Updated 3 weeks ago
• zepingyu0512 / awesome-LLM-neuron
  ☆31Updated 4 months ago
• jinhaoduan / SAR
  [ACL 2024] Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models
  ☆57Updated last year
• David-Li0406 / AI-Supervision-Risk
  ☆21Updated 7 months ago
• TrustGen / TrustEval-toolkit
  Toolkit for evaluating the trustworthiness of generative foundation models.
  ☆122Updated 2 months ago
• ydyjya / SafetyHeadAttribution
  ☆51Updated 4 months ago
• git-disl / Vaccine
  This is the official code for the paper "Vaccine: Perturbation-aware Alignment for Large Language Models" (NeurIPS2024)
  ☆47Updated 11 months ago
• kevinyaobytedance / llm_unlearn
  LLM Unlearning
  ☆177Updated 2 years ago
• D2I-ai / eigenscore
  ☆37Updated 10 months ago
• ydyjya / LLM-IHS-Explanation
  ☆53Updated last year
• VLKEB / VLKEB
  ☆58Updated 11 months ago
• glorgao / SelectiveDPO
  Principled Data Selection for Alignment: The Hidden Risks of Difficult Examples
  ☆44Updated 3 months ago
• ZhiningLiu1998 / SelfElicit
  [ACL'25 Main] SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence! | 让你的LLM更好地利用上下文文档：一个基于注意力的简单方案
  ☆23Updated 8 months ago
• isXinLiu / MM-SafetyBench
  Accepted by ECCV 2024
  ☆165Updated last year
• wangywUST / DeepEdit
  Repository for our paper "DeepEdit: Knowledge Editing as Decoding with Constraints". https://arxiv.org/abs/2401.10471
  ☆21Updated last year
• princeton-nlp / benign-data-breaks-safety
  ☆41Updated last year
• WangCheng0116 / Awesome-LRMs-Safety
  Official repository for "Safety in Large Reasoning Models: A Survey" - Exploring safety risks, attacks, and defenses for Large Reasoning …
  ☆75Updated 2 months ago
• chrisliu298 / awesome-llm-unlearning
  A resource repository for machine unlearning in large language models
  ☆501Updated 3 months ago
• llm-misinformation / llm-misinformation
  The dataset and code for the ICLR 2024 paper "Can LLM-Generated Misinformation Be Detected?"
  ☆77Updated 11 months ago