Pierre Fernandez

According to our database1, Pierre Fernandez authored at least 27 papers between 2022 and 2026.

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Timeline

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Bibliography

2026
TextSeal: A Localized LLM Watermark for Provenance & Distillation Protection.
CoRR, May, 2026

Learning to Watermark in the Latent Space of Generative Models.
CoRR, January, 2026

2025
How Good is Post-Hoc Watermarking With Language Model Rephrasing?
CoRR, December, 2025

Pixel Seal: Adversarial-only training for invisible image and video watermarking.
CoRR, December, 2025

Transferable Black-Box One-Shot Forging of Watermarks via Image Preference Models.
CoRR, October, 2025

We Can Hide More Bits: The Unused Watermarking Capacity in Theory and in Practice.
CoRR, October, 2025

Geometric Image Synchronization with Deep Watermarking.
CoRR, September, 2025

Watermarking Autoregressive Image Generation.
CoRR, June, 2025

Detecting Benchmark Contamination Through Watermarking.
CoRR, February, 2025

Watermarking across Modalities for Content Tracing and Generative AI.
CoRR, February, 2025

Watermarking across modalities for content tracing and generative AI. (Tatouage numérique multimodal pour la traçabilité du contenu et l'IA générative).
PhD thesis, 2025

Lognormal Mutations and their Use in Detecting Surreptitious Fake Images.
Trans. Mach. Learn. Res., 2025

Watermark Anything With Localized Messages.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Latent Watermarking of Audio Generative Models.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024
DINOv2: Learning Robust Visual Features without Supervision.
Trans. Mach. Learn. Res., 2024

Video Seal: Open and Efficient Video Watermarking.
CoRR, 2024

Log-normal Mutations and their Use in Detecting Surreptitious Fake Images.
CoRR, 2024

Evaluation of Security of ML-based Watermarking: Copy and Removal Attacks.
Proceedings of the IEEE International Workshop on Information Forensics and Security, 2024

Watermarking Makes Language Models Radioactive.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Proactive Detection of Voice Cloning with Localized Watermarking.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Functional Invariants To Watermark Large Transformers.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Seamless: Multilingual Expressive and Streaming Speech Translation.
CoRR, 2023

A Cookbook of Self-Supervised Learning.
CoRR, 2023

Three Bricks to Consolidate Watermarks for Large Language Models.
Proceedings of the IEEE International Workshop on Information Forensics and Security, 2023

Active Image Indexing.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

The Stable Signature: Rooting Watermarks in Latent Diffusion Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Watermarking Images in Self-Supervised Latent Spaces.
Proceedings of the IEEE International Conference on Acoustics, 2022


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