Alternatives and similar repositories for ULD

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

• locuslab / acr-memorization
  ☆34Updated 5 months ago
• JasonForJoy / Model-Editing-Hurt
  EMNLP 2024: Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue
  ☆35Updated last week
• Vaidehi99 / InfoDeletionAttacks
  ☆44Updated 3 months ago
• ejones313 / auditing-llms
  ☆54Updated 2 years ago
• decoding-comp-trust / comp-trust
  Codebase for decoding compressed trust.
  ☆23Updated last year
• yaojin17 / Unlearning_LLM
  [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"
  ☆57Updated 8 months ago
• swj0419 / muse_bench
  ☆21Updated 2 months ago
• Jayfeather1024 / Backdoor-Enhanced-Alignment
  ☆20Updated 5 months ago
• jaechan-repo / muse_bench
  ☆23Updated 9 months ago
• licong-lin / negative-preference-optimization
  ☆58Updated 10 months ago
• VITA-Group / Robust_Weight_Signatures
  [ICML 2023] "Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights?" by Ruisi Cai, Zhenyu Zhang, Zhangyang Wang
  ☆16Updated 2 years ago
• sail-sg / D-TRAK
  Intriguing Properties of Data Attribution on Diffusion Models (ICLR 2024)
  ☆30Updated last year
• McGill-NLP / AdversarialTriggers
  Code for "Universal Adversarial Triggers Are Not Universal."
  ☆17Updated last year
• mireshghallah / neighborhood-curvature-mia
  ☆21Updated last year
• weichen-yu / LM-Extraction
  ☆43Updated 2 years ago
• XuandongZhao / Unigram-Watermark
  [ICLR 2024] Provable Robust Watermarking for AI-Generated Text
  ☆32Updated last year
• sail-sg / Cheating-LLM-Benchmarks
  [ICLR 2025] Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates (Oral)
  ☆78Updated 7 months ago
• zjysteven / mink-plus-plus
  [ICLR'25 Spotlight] Min-K%++: Improved baseline for detecting pre-training data of LLMs
  ☆37Updated last week
• amazon-science / controlling-llm-memorization
  ☆36Updated 2 years ago
• declare-lab / resta
  Restore safety in fine-tuned language models through task arithmetic
  ☆28Updated last year
• vfleaking / PTST
  Code for safety test in "Keeping LLMs Aligned After Fine-tuning: The Crucial Role of Prompt Templates"
  ☆18Updated last year
• princeton-nlp / benign-data-breaks-safety
  ☆41Updated 8 months ago
• franciscoliu / SKU
  Official code implementation of SKU, Accepted by ACL 2024 Findings
  ☆15Updated 5 months ago
• zhxieml / remiss-jailbreak
  ☆30Updated 11 months ago
• SafeAILab / RAIN
  [ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning
  ☆93Updated last year
• boyiwei / CoTaEval
  [NeurIPS 2024 D&B] Evaluating Copyright Takedown Methods for Language Models
  ☆17Updated 10 months ago
• allenai / wildteaming
  ☆26Updated 9 months ago
• UCSC-VLAA / vllm-safety-benchmark
  [ECCV 2024] Official PyTorch Implementation of "How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs"
  ☆80Updated last year
• yihuaihong / ConceptVectors
  ConceptVectors Benchmark and Code for the paper "Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces"
  ☆35Updated 3 months ago
• thestephencasper / explore_establish_exploit_llms
  ☆31Updated last year