Alternatives and similar repositories for safety-eval

Users that are interested in safety-eval are comparing it to the libraries listed below

• allenai / wildguard
  Open One-Stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMs
  ☆91Updated 9 months ago
• stanfordnlp / axbench
  Stanford NLP Python library for benchmarking the utility of LLM interpretability methods
  ☆128Updated 2 months ago
• paul-rottger / xstest
  Röttger et al. (NAACL 2024): "XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models"
  ☆111Updated 6 months ago
• GraySwanAI / circuit-breakers
  Improving Alignment and Robustness with Circuit Breakers
  ☆233Updated 11 months ago
• ScalerLab / JudgeBench
  ☆98Updated 10 months ago
• andyrdt / refusal_direction
  Code and results accompanying the paper "Refusal in Language Models Is Mediated by a Single Direction".
  ☆269Updated 3 months ago
• centerforaisafety / wmdp
  WMDP is a LLM proxy benchmark for hazardous knowledge in bio, cyber, and chemical security. We also release code for RMU, an unlearning m…
  ☆138Updated 3 months ago
• IBM / activation-steering
  [ICLR 2025] General-purpose activation steering library
  ☆102Updated 3 weeks ago
• mlcommons / modelbench
  Run safety benchmarks against AI models and view detailed reports showing how well they performed.
  ☆104Updated this week
• amazon-science / controlling-llm-memorization
  ☆39Updated 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
  ☆105Updated last year
• shengliu66 / ICV
  Code for In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering
  ☆186Updated 7 months ago
• vinid / safety-tuned-llamas
  ICLR2024 Paper. Showing properties of safety tuning and exaggerated safety.
  ☆86Updated last year
• logix-project / logix
  AI Logging for Interpretability and Explainability🔬
  ☆127Updated last year
• boyiwei / CoTaEval
  [NeurIPS 2024 D&B] Evaluating Copyright Takedown Methods for Language Models
  ☆17Updated last year
• ejones313 / auditing-llms
  ☆57Updated 2 years ago
• LoryPack / LLM-LieDetector
  Code for the ICLR 2024 paper "How to catch an AI liar: Lie detection in black-box LLMs by asking unrelated questions"
  ☆72Updated last year
• milesaturpin / cot-unfaithfulness
  ☆48Updated last year
• XuandongZhao / weak-to-strong
  [ICML 2025] Weak-to-Strong Jailbreaking on Large Language Models
  ☆85Updated 4 months ago
• Princeton-SysML / Jailbreak_LLM
  ☆183Updated last year
• JonasGeiping / carving
  Package to optimize Adversarial Attacks against (Large) Language Models with Varied Objectives
  ☆70Updated last year
• uw-nsl / SafeDecoding
  Official Repository for ACL 2024 Paper SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding
  ☆143Updated last year
• sail-sg / I-FSJ
  Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses (NeurIPS 2024)
  ☆64Updated 8 months ago
• epfl-dlab / llm-latent-language
  Repo accompanying our paper "Do Llamas Work in English? On the Latent Language of Multilingual Transformers".
  ☆79Updated last year
• rishub-tamirisa / tamper-resistance
  [ICLR 2025] Official Repository for "Tamper-Resistant Safeguards for Open-Weight LLMs"
  ☆61Updated 3 months ago
• felipemaiapolo / tinyBenchmarks
  Evaluating LLMs with fewer examples
  ☆161Updated last year
• voidism / Lookback-Lens
  Code for the EMNLP 2024 paper "Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps"
  ☆130Updated last year
• abertsch72 / long-context-icl
  Data and code for the preprint "In-Context Learning with Long-Context Models: An In-Depth Exploration"
  ☆39Updated last year
• pratyushmaini / llm_dataset_inference
  Official Repository for Dataset Inference for LLMs
  ☆41Updated last year
• allenai / wildteaming
  ☆34Updated last year