3 papers
cs.AI2026
Successive Training Stages and Large Language Model Persuasion: Effects of Misalignment, Supervised Fine-Tuning, and Preference Optimization
Antony Dalmiere, Pascal Marchand, Guillaume Auriol +1
Large language models (LLMs) can be tuned to influence human attitudes, yet the respective contributions of successive post-training stages remain un-clear. This study examines how…
cs.CR2025
In-context learning for the classification of manipulation techniques in phishing emails
Antony Dalmiere, Guillaume Auriol, Vincent Nicomette +1
Traditional phishing detection often overlooks psychological manipulation. This study investigates using Large Language Model (LLM) In-Context Learning (ICL) for fine-grained class…
cs.CR2025
Measuring Modern Phishing Tactics: A Quantitative Study of Body Obfuscation Prevalence, Co-occurrence, and Filter Impact
Antony Dalmiere, Zheng Zhou, Guillaume Auriol +2
Phishing attacks frequently use email body obfuscation to bypass detection filters, but quantitative insights into how techniques are combined and their impact on filter scores rem…