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"
  ☆53Updated 8 months ago
• thu-coai / SafeUnlearning
  Safe Unlearning: A Surprisingly Effective and Generalizable Solution to Defend Against Jailbreak Attacks
  ☆31Updated last year
• Unispac / shallow-vs-deep-alignment
  Official Repository for The Paper: Safety Alignment Should Be Made More Than Just a Few Tokens Deep
  ☆150Updated 4 months ago
• AI-secure / MMDT
  Comprehensive Assessment of Trustworthiness in Multimodal Foundation Models
  ☆22Updated 6 months ago
• MartinPawelczyk / In-Context-Unlearning
  "In-Context Unlearning: Language Models as Few Shot Unlearners". Martin Pawelczyk, Seth Neel* and Himabindu Lakkaraju*; ICML 2024.
  ☆28Updated last year
• 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"
  ☆83Updated last year
• jthickstun / watermark
  Code for watermarking language models
  ☆82Updated last year
• AI45Lab / CodeAttack
  [ACL 2024] CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion
  ☆52Updated 10 months ago
• yaojin17 / Unlearning_LLM
  [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"
  ☆60Updated 11 months ago
• neelsjain / baseline-defenses
  Official Code for "Baseline Defenses for Adversarial Attacks Against Aligned Language Models"
  ☆28Updated last year
• sail-sg / I-FSJ
  Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses (NeurIPS 2024)
  ☆64Updated 8 months ago
• ChenWu98 / agent-attack
  [ICLR 2025] Dissecting adversarial robustness of multimodal language model agents
  ☆102Updated 6 months ago
• boyiwei / alignment-attribution-code
  [ICML 2024] Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications
  ☆84Updated 5 months ago
• swj0419 / muse_bench
  ☆27Updated 6 months 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
• SORRY-Bench / sorry-bench
  Benchmark evaluation code for "SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal" (ICLR 2025)
  ☆62Updated 6 months ago
• facebookresearch / three_bricks
  Official Implementation of the paper "Three Bricks to Consolidate Watermarks for LLMs"
  ☆48Updated last year
• sail-sg / closer-look-LLM-unlearning
  [ICLR 2025] A Closer Look at Machine Unlearning for Large Language Models
  ☆36Updated 9 months ago
• ys-zong / VLGuard
  [ICML 2024] Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models.
  ☆74Updated 8 months ago
• Jayfeather1024 / Backdoor-Enhanced-Alignment
  ☆23Updated 9 months ago
• wonderNefelibata / Awesome-LRM-Safety
  Awesome Large Reasoning Model(LRM) Safety.This repository is used to collect security-related research on large reasoning models such as …
  ☆72Updated this week
• zhaoyiran924 / Probe-Sampling
  [NeurIPS 2024] Accelerating Greedy Coordinate Gradient and General Prompt Optimization via Probe Sampling
  ☆30Updated 10 months ago
• rain152 / PAT
  [NeurIPS 2024] Fight Back Against Jailbreaking via Prompt Adversarial Tuning
  ☆10Updated 10 months ago
• yjw1029 / Self-Reminder
  Code for our paper "Defending ChatGPT against Jailbreak Attack via Self-Reminder" in NMI.
  ☆53Updated last year
• ethz-spylab / rlhf-poisoning
  Code for paper "Universal Jailbreak Backdoors from Poisoned Human Feedback"
  ☆58Updated last year
• OPTML-Group / SOUL
  Official repo for EMNLP'24 paper "SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning"
  ☆27Updated 11 months ago
• centerforaisafety / tdc2023-starter-kit
  This is the starter kit for the Trojan Detection Challenge 2023 (LLM Edition), a NeurIPS 2023 competition.
  ☆89Updated last year
• IBM / SafeLoRA
  Github repo for NeurIPS 2024 paper "Safe LoRA: the Silver Lining of Reducing Safety Risks when Fine-tuning Large Language Models"
  ☆20Updated last week
• xiaoniu-578fa6bff964d005 / UnbiasedWatermark
  ☆38Updated last year
• THU-BPM / Robust_Watermark
  Code and data for paper "A Semantic Invariant Robust Watermark for Large Language Models" accepted by ICLR 2024.
  ☆34Updated 10 months ago