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20212026
most citedBeyond Memorization: Violating Privacy Via Inference with Large Language Models

38 citations · 72 across the 29 of their papers we have counts for

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cs.CR2026

AutoMark: Enabling Autoresearch to Discover Better LLM Watermarks

Thibaud Gloaguen, Robin Staab, Martin Vechev

With LLM watermarking being deployed commercially and now required by regulations, improving its reliability and effectiveness has become crucial. Yet, recent progress in the field…

cs.AI2026

Marking the Wrong Symptoms: Evaluating LLM Watermarks in Medical Texts

Melanie Rieff, Robin Staab, Thibaud Gloaguen +2

Large language models (LLMs) are increasingly integrated into clinical workflows, stressing the need for reliable traceability of model-generated output with watermarking. Yet, mos…

cs.CL2026

Making Open-Source Text LLM Watermarks Durable Against Merging

Luisa Scharff, Thibaud Gloaguen, Robin Staab +1

Open-source LLMs (OSMs)arereaching near state-of-the-art performance, prompting prior works to trace the text they generate by embedding text watermarking algorithms directly into…

cs.LG2026

Widening the Gap: Exploiting LLM Quantization via Outlier Injection

Xiaohua Zhan, Kazuki Egashira, Robin Staab +2

LLM quantization has become essential for memory-efficient deployment. Recent work has shown that quantization schemes can pose critical security risks: an adversary may release a…

cs.CR2026

Every Bit, Everywhere, All at Once: A Binomial Multibit LLM Watermark

Thibaud Gloaguen, Robin Staab, Mark Vero +1

With LLM watermarking already being deployed commercially, practical applications increasingly require multibit watermarks that encode more complex payloads, such as user IDs or ti…

cs.LG2026

Delay, Plateau, or Collapse: Evaluating the Impact of Systematic Verification Error on RLVR

Kazuki Egashira, Mark Vero, Jasper Dekoninck +3

Reinforcement Learning with Verifiable Rewards (RLVR) has become a powerful approach for improving the reasoning capabilities of large language models (LLMs). While RLVR is designe…

cs.CR2026

A Unified Framework for LLM Watermarks

Thibaud Gloaguen, Robin Staab, Nikola Jovanović +1

LLM watermarks allow tracing AI-generated texts by inserting a detectable signal into their generated content. Recent works have proposed a wide range of watermarking algorithms, e…