facebookresearch / three_bricks

Related projects ⓘ

Alternatives and complementary repositories for three_bricks

• jthickstun / watermark
  Code for watermarking language models
  ☆72Updated 2 months ago
• SafeAILab / RAIN
  [ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning
  ☆84Updated 5 months ago
• hlzhang109 / impossibility-watermark
  ☆20Updated 2 months ago
• XuandongZhao / Unigram-Watermark
  [ICLR 2024] Provable Robust Watermarking for AI-Generated Text
  ☆26Updated 11 months ago
• yaojin17 / Unlearning_LLM
  [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"
  ☆47Updated last month
• ejones313 / auditing-llms
  ☆49Updated last year
• chenchenygu / watermark-learnability
  ☆21Updated 5 months ago
• SORRY-Bench / sorry-bench
  SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal Behaviors
  ☆34Updated 4 months ago
• ChenWu98 / agent-attack
  [Arxiv 2024] Adversarial attacks on multimodal agents
  ☆39Updated 4 months ago
• locuslab / tofu
  Landing Page for TOFU
  ☆98Updated 5 months ago
• wagner-group / MarkMyWords
  ☆25Updated 5 months ago
• THU-BPM / Robust_Watermark
  Code and data for paper "A Semantic Invariant Robust Watermark for Large Language Models" accepted by ICLR 2024.
  ☆25Updated last week
• zhaoyiran924 / Probe-Sampling
  [NeurIPS 2024] Accelerating Greedy Coordinate Gradient and General Prompt Optimization via Probe Sampling
  ☆19Updated last week
• Vaidehi99 / InfoDeletionAttacks
  ☆38Updated last year
• yjw1029 / Self-Reminder
  Code for our paper "Defending ChatGPT against Jailbreak Attack via Self-Reminder" in NMI.
  ☆43Updated last year
• centerforaisafety / tdc2023-starter-kit
  This is the starter kit for the Trojan Detection Challenge 2023 (LLM Edition), a NeurIPS 2023 competition.
  ☆79Updated 6 months ago
• git-disl / Vaccine
  This is the official code for the paper "Vaccine: Perturbation-aware Alignment for Large Language Models" (NeurIPS2024)
  ☆19Updated this week
• sail-sg / Cheating-LLM-Benchmarks
  [SafeGenAi @ NeurIPS 2024] Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates
  ☆60Updated 3 weeks ago
• licong-lin / negative-preference-optimization
  ☆35Updated 4 months ago
• boyiwei / alignment-attribution-code
  Official Code for Paper: Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications
  ☆60Updated last month
• sail-sg / I-FSJ
  Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses (NeurIPS 2024)
  ☆48Updated 3 months ago
• ethz-spylab / rlhf-poisoning
  Code for paper "Universal Jailbreak Backdoors from Poisoned Human Feedback"
  ☆41Updated 6 months ago
• Princeton-SysML / Jailbreak_LLM
  ☆153Updated 11 months ago
• decoding-comp-trust / comp-trust
  Codebase for decoding compressed trust.
  ☆20Updated 6 months ago
• neelsjain / baseline-defenses
  Official Code for "Baseline Defenses for Adversarial Attacks Against Aligned Language Models"
  ☆20Updated last year
• vfleaking / PTST
  Code for safety test in "Keeping LLMs Aligned After Fine-tuning: The Crucial Role of Prompt Templates"
  ☆17Updated 8 months ago
• sail-sg / Attention-Sink
  [ATTRIB @ NeurIPS 2024] When Attention Sink Emerges in Language Models: An Empirical View
  ☆29Updated last month
• xiaojunxu / learning-to-watermark-llm
  ☆12Updated 8 months ago
• git-disl / awesome_LLM-harmful-fine-tuning-papers
  A survey on harmful fine-tuning attack for large language model
  ☆80Updated last week
• tatsu-lab / test_set_contamination
  ☆33Updated last year