Alternatives and similar repositories for PolyGuard

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

• Vaidehi99 / InfoDeletionAttacks
  ☆48Updated 11 months ago
• Jayfeather1024 / Backdoor-Enhanced-Alignment
  ☆24Updated last year
• SafeAILab / RAIN
  [ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning
  ☆98Updated last year
• weichen-yu / LM-Extraction
  ☆43Updated 2 years ago
• ethz-spylab / rlhf-poisoning
  Code for paper "Universal Jailbreak Backdoors from Poisoned Human Feedback"
  ☆66Updated last year
• locuslab / acr-memorization
  ☆37Updated last year
• princeton-nlp / benign-data-breaks-safety
  ☆44Updated last year
• yihuaihong / ConceptVectors
  [EMNLP 2025 Main] ConceptVectors Benchmark and Code for the paper "Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces"
  ☆40Updated 5 months ago
• sail-sg / I-FSJ
  Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses (NeurIPS 2024)
  ☆65Updated last year
• pratyushmaini / llm_dataset_inference
  Official Repository for Dataset Inference for LLMs
  ☆43Updated last year
• lapisrocks / rpo
  Official repository for "Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks"
  ☆60Updated last year
• SORRY-Bench / sorry-bench
  Benchmark evaluation code for "SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal" (ICLR 2025)
  ☆74Updated 10 months ago
• boyiwei / CoTaEval
  [NeurIPS 2024 D&B] Evaluating Copyright Takedown Methods for Language Models
  ☆17Updated last year
• llm-editing / editing-attack
  Code and dataset for the paper: "Can Editing LLMs Inject Harm?"
  ☆21Updated last month
• weizeming / momentum-attack-llm
  ☆23Updated last year
• ejones313 / auditing-llms
  ☆60Updated 2 years ago
• aounon / certified-llm-safety
  ☆51Updated last year
• UCSC-VLAA / AttnGCG-attack
  ☆23Updated 7 months ago
• papersPapers / BadPrompt
  Code for the paper "BadPrompt: Backdoor Attacks on Continuous Prompts"
  ☆40Updated 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
• XuandongZhao / weak-to-strong
  [ICML 2025] Weak-to-Strong Jailbreaking on Large Language Models
  ☆92Updated 8 months ago
• swj0419 / muse_bench
  ☆32Updated 10 months ago
• vinid / safety-tuned-llamas
  ICLR2024 Paper. Showing properties of safety tuning and exaggerated safety.
  ☆92Updated last year
• yuplin2333 / representation-space-jailbreak
  Code repo of our paper Towards Understanding Jailbreak Attacks in LLMs: A Representation Space Analysis (https://arxiv.org/abs/2406.10794…
  ☆23Updated last year
• yaojin17 / Unlearning_LLM
  [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"
  ☆66Updated last year
• mireshghallah / neighborhood-curvature-mia
  ☆25Updated 2 years ago
• paul-rottger / xstest
  Röttger et al. (NAACL 2024): "XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models"
  ☆123Updated 11 months ago
• rishub-tamirisa / tamper-resistance
  [ICLR 2025] Official Repository for "Tamper-Resistant Safeguards for Open-Weight LLMs"
  ☆66Updated 7 months ago
• ethz-spylab / unlearning-vs-safety
  ☆27Updated last year
• YihanWang617 / llm-jailbreaking-defense
  A lightweight library for large laguage model (LLM) jailbreaking defense.
  ☆60Updated 4 months ago