Alternatives and similar repositories for attack-comparative-assessment

Users that are interested in attack-comparative-assessment are comparing it to the libraries listed below

• stanford-crfm / air-bench-2024
  AIR-Bench 2024 is a safety benchmark that aligns with emerging government regulations and company policies
  ☆28Updated last year
• Vaidehi99 / InfoDeletionAttacks
  ☆48Updated last year
• yaojin17 / Unlearning_LLM
  [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"
  ☆66Updated 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
• thu-coai / SafeUnlearning
  Safe Unlearning: A Surprisingly Effective and Generalizable Solution to Defend Against Jailbreak Attacks
  ☆32Updated last year
• JasonForJoy / Model-Editing-Hurt
  EMNLP 2024: Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue
  ☆38Updated 8 months ago
• tml-epfl / icl-alignment
  Is In-Context Learning Sufficient for Instruction Following in LLMs? [ICLR 2025]
  ☆32Updated last year
• AI-secure / PolyGuard
  ☆16Updated 7 months ago
• amazon-science / controlling-llm-memorization
  ☆39Updated 2 years ago
• poloclub / llm-landscape
  NeurIPS'24 - LLM Safety Landscape
  ☆39Updated 3 months ago
• eth-lre / LLM_ICL
  ACL24
  ☆11Updated last year
• mireshghallah / neighborhood-curvature-mia
  ☆25Updated 2 years ago
• hkust-nlp / Activation_Decoding
  In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)
  ☆62Updated last year
• deeplearning-wisc / haloscope
  source code for NeurIPS'24 paper "HaloScope: Harnessing Unlabeled LLM Generations for Hallucination Detection"
  ☆65Updated 9 months ago
• zzwjames / FailureLLMUnlearning
  An official implementation of "Catastrophic Failure of LLM Unlearning via Quantization" (ICLR 2025)
  ☆36Updated 11 months ago
• ChnQ / TracingLLM
  ☆30Updated last year
• weizeming / momentum-attack-llm
  ☆23Updated last year
• SafeAILab / RAIN
  [ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning
  ☆98Updated last year
• princeton-nlp / benign-data-breaks-safety
  ☆44Updated last year
• yjw1029 / Self-Reminder-Data
  Data for our paper "Defending ChatGPT against Jailbreak Attack via Self-Reminder"
  ☆20Updated 2 years ago
• locuslab / acr-memorization
  ☆37Updated last year
• XuandongZhao / weak-to-strong
  [ICML 2025] Weak-to-Strong Jailbreaking on Large Language Models
  ☆92Updated 9 months ago
• azshue / AutoPoison
  The official repository of the paper "On the Exploitability of Instruction Tuning".
  ☆69Updated 2 years ago
• weichen-yu / LM-Extraction
  ☆43Updated 2 years ago
• skywalker023 / confaide
  🤫 Code and benchmark for our ICLR 2024 spotlight paper: "Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Con…
  ☆50Updated 2 years ago
• ethz-spylab / unlearning-vs-safety
  ☆27Updated last year
• UCSC-VLAA / AttnGCG-attack
  ☆23Updated 7 months ago
• milesaturpin / cot-unfaithfulness
  ☆51Updated 2 years ago
• peterljq / Parsimonious-Concept-Engineering
  PaCE: Parsimonious Concept Engineering for Large Language Models (NeurIPS 2024)
  ☆42Updated 3 weeks ago
• ethz-spylab / rlhf-poisoning
  Code for paper "Universal Jailbreak Backdoors from Poisoned Human Feedback"
  ☆66Updated last year