facebookresearch / omnisealbench
This repository provides a comprehensive benchmark for evaluating the performance of neural watermarking techniques. The benchmark includes a variety of datasets, evaluation metrics, and tools for training and testing neural networks for watermarking.
☆18Updated 3 months ago
Alternatives and similar repositories for omnisealbench:
Users that are interested in omnisealbench are comparing it to the libraries listed below
- Implementation of 'A Watermark for Large Language Models' paper by Kirchenbauer & Geiping et. al.☆23Updated 2 years ago
- code share for paper InvisMark: Invisible and Robust Watermarking for AI-generated Image Provenance☆17Updated 4 months ago
- ☆42Updated last year
- Code for our paper "Benchmarking the Robustness of Image Watermarks"☆71Updated 6 months ago
- Zero-Shot Detection of AI-Generated Images☆56Updated 6 months ago
- ☆37Updated 9 months ago
- ☆10Updated 4 months ago
- Code for the paper "Robustness of AI-Image Detectors: Fundamental Limits and Practical Attacks"☆33Updated 9 months ago
- What do we learn from inverting CLIP models?☆54Updated last year
- A curated list of watermarking schemes for generative AI models☆82Updated 8 months ago
- Unlearning in Diffusion Models using Sparse Autoencoders☆18Updated 3 weeks ago
- ☆289Updated last year
- ☆22Updated last month
- MEXMA: Token-level objectives improve sentence representations☆40Updated 3 months ago
- Official Implementation of the paper "Three Bricks to Consolidate Watermarks for LLMs"☆46Updated last year
- Official Pytorch repo of CVPR'23 and NeurIPS'23 papers on understanding replication in diffusion models.☆105Updated last year
- [NeurIPS 2024 D&B Track] UnlearnCanvas: A Stylized Image Dataset to Benchmark Machine Unlearning for Diffusion Models by Yihua Zhang, Cho…☆65Updated 5 months ago
- This repository contains the implementation for the paper "AquaLoRA: Toward White-box Protection for Customized Stable Diffusion Models v…☆45Updated 7 months ago
- Erasing conceptual knowledge from language models through low-rank fine-tuning☆12Updated 2 weeks ago
- Code for the paper "Data Attribution for Text-to-Image Models by Unlearning Synthesized Images."☆13Updated 2 months ago
- Lightweight package that tracks and summarizes code changes using LLMs (Large Language Models)☆32Updated last month
- ☆36Updated 7 months ago
- ☆23Updated 4 months ago
- Official repo for Detecting, Explaining, and Mitigating Memorization in Diffusion Models (ICLR 2024)☆70Updated last year
- Tiny re-implementation of MDM in style of LLaDA and nano-gpt speedrun☆46Updated last month
- [ECCV 2024] Reliable and Efficient Concept Erasure of Text-to-Image Diffusion Models☆72Updated 5 months ago
- One Initialization to Rule them All: Fine-tuning via Explained Variance Adaptation☆39Updated 5 months ago
- [ICML 2024] Watermarks in the Sand: Impossibility of Strong Watermarking for Generative Models☆22Updated 6 months ago
- Code of the paper: A Recipe for Watermarking Diffusion Models☆144Updated 4 months ago
- A simple and efficient baseline for data attribution☆11Updated last year