AntonyDalmiere

PhD at CNRS applying social psychology and AI to detect and understand manipulation in social engineering.
Dual background: French engineering degree in computer science + Master's in Social Psychology.
Strong interest in LLM alignment, phishing, persuasion, and measurable security behavior.

Research & Publications

Main themes: LLM alignment, persuasion, phishing, conspiracy thinking, and threat communication.

Measuring Modern Phishing Tactics: A Quantitative Study of Body Obfuscation Prevalence, Co-occurrence, and Filter Impact, book chapter, 2026, DOI: 10.1007/978-3-032-06155-3_11.
Replication Data for “Measuring susceptibility: A benchmark for conspiracy theory adherence in large language models”, dataset, 2025-11-09, DOI: 10.5281/ZENODO.17566812.
IA : comment les grands modèles de langage peuvent devenir des super méchants… entre de mauvaises mains, other publication, 2025-07-09, DOI: 10.64628/aak.jtpghegyy.
In-context learning for the classification of manipulation techniques in phishing emails, SECAI25, HAL: hal-05127120, 2025-06-25.
A classification of manipulation technique used in social engineering attacks and underlying cognitive biases, needs, norms, and emotions, working paper, HAL: hal-05027416, 2025-04-09.

AI & Data: LLM alignment, in‑context learning, data preparation, lexicometric analysis.
Cybersecurity: Network security, Linux security, social engineering, phishing measurement.
Psychology: Social psychology, work psychology, group behavior, social cognition.
SWE: Python, Android/Kotlin/Java, microservices, filesystem tooling.

Android Full Support for VS Code
VS Code extension enabling native Android development directly from VS Code.
👉 https://marketplace.visualstudio.com/items?itemName=AntonyDalmiere.androidsupport
PassthroughSupportExcludeGlobFS
Python filesystem that mounts multiple subdirectories and excludes files via glob patterns; powers my current laptop setup.
👉 https://pypi.org/project/passthroughsupport-excludeglob-fs/