jthickstun / watermark
Code for watermarking language models
☆78Updated 7 months ago
Alternatives and similar repositories for watermark:
Users that are interested in watermark are comparing it to the libraries listed below
- ☆29Updated 11 months ago
- Repository for Towards Codable Watermarking for Large Language Models☆36Updated last year
- Official Implementation of the paper "Three Bricks to Consolidate Watermarks for LLMs"☆46Updated last year
- Code and data for paper "A Semantic Invariant Robust Watermark for Large Language Models" accepted by ICLR 2024.☆29Updated 5 months ago
- ☆42Updated 2 months ago
- This is the starter kit for the Trojan Detection Challenge 2023 (LLM Edition), a NeurIPS 2023 competition.☆86Updated 11 months ago
- ☆24Updated 2 months ago
- [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"☆58Updated 7 months ago
- [ICLR 2024] Provable Robust Watermarking for AI-Generated Text☆32Updated last year
- Official repository of the paper: Who Wrote this Code? Watermarking for Code Generation (ACL 2024)☆33Updated 11 months ago
- [ACL2024-Main] Data and Code for WaterBench: Towards Holistic Evaluation of LLM Watermarks☆25Updated last year
- ☆54Updated 2 years ago
- ☆37Updated 8 months ago
- Official implementation of AdvPrompter https//arxiv.org/abs/2404.16873☆153Updated 11 months ago
- Official repository for "PostMark: A Robust Blackbox Watermark for Large Language Models"☆24Updated 8 months ago
- A lightweight library for large laguage model (LLM) jailbreaking defense.☆51Updated 6 months ago
- Python package for measuring memorization in LLMs.☆151Updated 5 months ago
- [ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning☆92Updated 11 months ago
- Official repository for "Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks"☆51Updated 8 months ago
- [ICLR'25 Spotlight] Min-K%++: Improved baseline for detecting pre-training data of LLMs☆38Updated 2 months ago
- Röttger et al. (NAACL 2024): "XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models"☆95Updated 2 months ago
- Official Repository for The Paper: Safety Alignment Should Be Made More Than Just a Few Tokens Deep☆110Updated last week
- Repo for arXiv preprint "Gradient-based Adversarial Attacks against Text Transformers"☆107Updated 2 years ago
- Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses (NeurIPS 2024)☆61Updated 3 months ago
- Source code of paper "An Unforgeable Publicly Verifiable Watermark for Large Language Models" accepted by ICLR 2024☆33Updated 11 months ago
- Official repository for ICML 2024 paper "On Prompt-Driven Safeguarding for Large Language Models"☆89Updated 8 months ago
- ICLR2024 Paper. Showing properties of safety tuning and exaggerated safety.☆82Updated 11 months ago
- [ICML 2024] Watermarks in the Sand: Impossibility of Strong Watermarking for Generative Models☆22Updated 7 months ago
- [NeurIPS 2024] Accelerating Greedy Coordinate Gradient and General Prompt Optimization via Probe Sampling☆27Updated 5 months ago
- ☆18Updated last year