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Found 14 papers, 11 papers with code
Video Seal: Open and Efficient Video Watermarking
To reduce these gaps, this paper introduces Video Seal, a comprehensive framework for neural video watermarking and a competitive open-sourced model.
Watermark Anything with Localized Messages
Image watermarking methods are not tailored to handle small watermarked areas.
Evaluation of Security of ML-based Watermarking: Copy and Removal Attacks
While the robustness of these systems is well-documented, the security against adversarial attacks remains underexplored.
Log-normal Mutations and their Use in Detecting Surreptitious Fake Images
We apply the log-normal method to the attack of fake detectors, and get successful attacks: importantly, these attacks are not detected by detectors specialized on classical adversarial attacks.
Watermarking Makes Language Models Radioactive
We discover that, on the contrary, it is possible to reliably determine if a language model was trained on synthetic data if that data is output by a watermarked LLM.
Proactive Detection of Voice Cloning with Localized Watermarking
In the rapidly evolving field of speech generative models, there is a pressing need to ensure audio authenticity against the risks of voice cloning.
Seamless: Multilingual Expressive and Streaming Speech Translation
In this work, we introduce a family of models that enable end-to-end expressive and multilingual translations in a streaming fashion.
automatic-speech-translation
Multimodal Machine Translation
+2
Functional Invariants to Watermark Large Transformers
The rapid growth of transformer-based models increases the concerns about their integrity and ownership insurance.
Three Bricks to Consolidate Watermarks for Large Language Models
The task of discerning between generated and natural texts is increasingly challenging.
A Cookbook of Self-Supervised Learning
Self-supervised learning, dubbed the dark matter of intelligence, is a promising path to advance machine learning.
DINOv2: Learning Robust Visual Features without Supervision
The recent breakthroughs in natural language processing for model pretraining on large quantities of data have opened the way for similar foundation models in computer vision.
Ranked #1 on
Image Retrieval
on AmsterTime
(using extra training data)
The Stable Signature: Rooting Watermarks in Latent Diffusion Models
For instance, it detects the origin of an image generated from a text prompt, then cropped to keep $10\%$ of the content, with $90$+$\%$ accuracy at a false positive rate below 10$^{-6}$.
Active Image Indexing
First, a neural network maps an image to a vector representation, that is relatively robust to various transformations of the image.
Watermarking Images in Self-Supervised Latent Spaces
We revisit watermarking techniques based on pre-trained deep networks, in the light of self-supervised approaches.
