Alternatives and similar repositories for PostMark

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

• Vaidehi99 / InfoDeletionAttacks
  ☆48Updated last year
• jthickstun / watermark
  Code for watermarking language models
  ☆85Updated last year
• THU-BPM / Robust_Watermark
  Code and data for paper "A Semantic Invariant Robust Watermark for Large Language Models" accepted by ICLR 2024.
  ☆37Updated last year
• XuandongZhao / Unigram-Watermark
  [ICLR 2024] Provable Robust Watermarking for AI-Generated Text
  ☆38Updated 2 years ago
• ejones313 / auditing-llms
  ☆60Updated 2 years ago
• facebookresearch / three_bricks
  Official Implementation of the paper "Three Bricks to Consolidate Watermarks for LLMs"
  ☆50Updated last year
• SafeAILab / RAIN
  [ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning
  ☆98Updated last year
• AlexWan0 / Poisoning-Instruction-Tuned-Models
  ☆58Updated last year
• ethz-spylab / rlhf-poisoning
  Code for paper "Universal Jailbreak Backdoors from Poisoned Human Feedback"
  ☆66Updated last year
• YihanWang617 / llm-jailbreaking-defense
  A lightweight library for large laguage model (LLM) jailbreaking defense.
  ☆61Updated 4 months ago
• pratyushmaini / llm_dataset_inference
  Official Repository for Dataset Inference for LLMs
  ☆43Updated last year
• paul-rottger / xstest
  Röttger et al. (NAACL 2024): "XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models"
  ☆127Updated 11 months ago
• mireshghallah / neighborhood-curvature-mia
  ☆25Updated 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
  ☆32Updated 3 years ago
• licong-lin / negative-preference-optimization
  ☆72Updated last year
• centerforaisafety / tdc2023-starter-kit
  This is the starter kit for the Trojan Detection Challenge 2023 (LLM Edition), a NeurIPS 2023 competition.
  ☆90Updated last year
• yihuaihong / ConceptVectors
  [EMNLP 2025 Main] ConceptVectors Benchmark and Code for the paper "Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces"
  ☆39Updated 5 months ago
• Jayfeather1024 / Backdoor-Enhanced-Alignment
  ☆24Updated last year
• xiaoniu-578fa6bff964d005 / UnbiasedWatermark
  ☆40Updated last year
• iamgroot42 / mimir
  Python package for measuring memorization in LLMs.
  ☆184Updated 6 months ago
• lancopku / codable-watermarking-for-llm
  Repository for Towards Codable Watermarking for Large Language Models
  ☆37Updated 2 years ago
• XuandongZhao / weak-to-strong
  [ICML 2025] Weak-to-Strong Jailbreaking on Large Language Models
  ☆92Updated 9 months ago
• xiaojunxu / learning-to-watermark-llm
  ☆22Updated last year
• yaojin17 / Unlearning_LLM
  [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"
  ☆66Updated last year
• chujiezheng / LLM-Safeguard
  Official repository for ICML 2024 paper "On Prompt-Driven Safeguarding for Large Language Models"
  ☆106Updated 8 months ago
• chenchenygu / watermark-learnability
  ☆27Updated 11 months ago
• hongcheki / sweet-watermark
  Official repository of the paper: Who Wrote this Code? Watermarking for Code Generation (ACL 2024)
  ☆39Updated last year
• amazon-science / controlling-llm-memorization
  ☆39Updated 2 years ago
• weichen-yu / LM-Extraction
  ☆43Updated 2 years ago
• boyiwei / CoTaEval
  [NeurIPS 2024 D&B] Evaluating Copyright Takedown Methods for Language Models
  ☆17Updated last year