🧑‍🔬 Maxime Meyer

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Adaptive Text Anonymization: Learning Privacy-Utility Trade-offs via Prompt Optimization (2026 · 2 citations)
   Text anonymization depends heavily on context. The right level of privacy protection, and the kind of utility that must survive, change with the domain, the threat model and the downstream use. Current LLM-based anonymizers have three weaknesses: they use one hand-written prompt per scenario, they need laborious…
2. DIDECO: An Annotated Dataset for Intent Detection in Digital Communications (2026)
   Phishing and other social-engineering emails are increasingly written by LLMs. They can look fully legitimate, so keyword- or signature-based filters miss them. The authors argue that detectors need to understand intent. Until now, no annotated resource has covered both the stated goal of a message and the hidden…

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. TAROT: Task-Oriented Authorship Obfuscation Using Policy Optimization Methods ↗Proceedings of the Sixth Workshop on Privacy in Natural Language Processing · no summary yetGabriel Loiseau et al.2025 · 4 citations
2. Adaptive Text Anonymization: Learning Privacy-Utility Trade-offs via Prompt OptimizationFindings of the Association for Computational LinguisticsGabriel Loiseau, Damien Sileo, Damien Riquet, et al.2026 · 2 citations
3. DIDECO: An Annotated Dataset for Intent Detection in Digital CommunicationsLanguage Resources and Evaluation Conference (LREC)Senaid Popovic, Damien Riquet, Maxime Meyer, et al.2026

🤝 Co-authors here

3 co-authors with a page, the most papers together first.

• Damien Riquet ×2
• Damien Sileo
• Yannick Parmentier

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
• Language Resources and Evaluation Conference (LREC): LREC 2026
• Proceedings of the Sixth Workshop on Privacy in Natural Language Processing

🔗 Cited by

Papers of our library cite their works 3 times (of the 149,439 papers whose bibliographies we read); 1 citing paper with a page here →.

Updated 1 November 2026

This page in Markdown → https://md.research.elamur.ai/free/en/authors/maxime-meyer/