Search Results for author:
Found 10 papers, 7 papers with code
Watermarking Makes Language Models Radioactive
This paper investigates the radioactivity of LLM-generated texts, i. e. whether it is possible to detect that such input was used as training data.
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.
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 Classification
on CIFAR-10
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.
