Alternatives and similar repositories for watermark-learnability

Users that are interested in watermark-learnability are comparing it to the libraries listed below

• umd-huang-lab / VLM-Poisoning
  Code for Neurips 2024 paper "Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models"
  ☆57Updated 10 months ago
• ethz-spylab / rlhf-poisoning
  Code for paper "Universal Jailbreak Backdoors from Poisoned Human Feedback"
  ☆62Updated last year
• Jayfeather1024 / Backdoor-Enhanced-Alignment
  ☆24Updated last year
• swj0419 / muse_bench
  ☆30Updated 8 months ago
• THU-BPM / Robust_Watermark
  Code and data for paper "A Semantic Invariant Robust Watermark for Large Language Models" accepted by ICLR 2024.
  ☆36Updated last year
• facebookresearch / three_bricks
  Official Implementation of the paper "Three Bricks to Consolidate Watermarks for LLMs"
  ☆50Updated last year
• boyiwei / alignment-attribution-code
  [ICML 2024] Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications
  ☆88Updated 8 months ago
• thu-ml / STAIR
  Official codebase for "STAIR: Improving Safety Alignment with Introspective Reasoning"
  ☆87Updated 9 months ago
• THU-BPM / unforgeable_watermark
  Source code of paper "An Unforgeable Publicly Verifiable Watermark for Large Language Models" accepted by ICLR 2024
  ☆34Updated 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
• xiaoniu-578fa6bff964d005 / UnbiasedWatermark
  ☆40Updated last year
• thu-coai / SafeUnlearning
  Safe Unlearning: A Surprisingly Effective and Generalizable Solution to Defend Against Jailbreak Attacks
  ☆32Updated last year
• MartinPawelczyk / In-Context-Unlearning
  "In-Context Unlearning: Language Models as Few Shot Unlearners". Martin Pawelczyk, Seth Neel* and Himabindu Lakkaraju*; ICML 2024.
  ☆28Updated 2 years 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"
  ☆84Updated 2 years ago
• AI45Lab / CodeAttack
  [ACL 2024] CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion
  ☆55Updated 2 months ago
• papersPapers / BadPrompt
  Code for the paper "BadPrompt: Backdoor Attacks on Continuous Prompts"
  ☆40Updated last year
• XuandongZhao / Unigram-Watermark
  [ICLR 2024] Provable Robust Watermarking for AI-Generated Text
  ☆38Updated 2 years ago
• 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…
  ☆22Updated last year
• SafeAILab / RAIN
  [ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning
  ☆98Updated last year
• sail-sg / AnyDoor
  AnyDoor: Test-Time Backdoor Attacks on Multimodal Large Language Models
  ☆60Updated last year
• jthickstun / watermark
  Code for watermarking language models
  ☆84Updated last year
• SORRY-Bench / sorry-bench
  Benchmark evaluation code for "SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal" (ICLR 2025)
  ☆69Updated 9 months ago
• thu-ml / Attack-Bard
  ☆107Updated last year
• Unispac / shallow-vs-deep-alignment
  Official Repository for The Paper: Safety Alignment Should Be Made More Than Just a Few Tokens Deep
  ☆166Updated 7 months ago
• git-disl / Safety-Tax
  This is the official code for the paper "Safety Tax: Safety Alignment Makes Your Large Reasoning Models Less Reasonable".
  ☆26Updated 8 months ago
• ys-zong / VLGuard
  [ICML 2024] Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models.
  ☆81Updated 10 months ago
• yaojin17 / Unlearning_LLM
  [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"
  ☆65Updated last year
• zihao-ai / unthinking_vulnerability
  To Think or Not to Think: Exploring the Unthinking Vulnerability in Large Reasoning Models
  ☆32Updated 6 months ago
• rain152 / PAT
  [NeurIPS 2024] Fight Back Against Jailbreaking via Prompt Adversarial Tuning
  ☆10Updated last year
• llm-editing / editing-attack
  Code and dataset for the paper: "Can Editing LLMs Inject Harm?"
  ☆21Updated last year