Evaluating Shutdown Avoidance of Language Models in Textual Scenarios. - Teun van der Weij; Simon Lermen; Leon Lang (CoRR, 2023)

LoRA Fine-tuning Efficiently Undoes Safety Training in Llama 2-Chat 70B. - Simon Lermen; Charlie Rogers-Smith; Jeffrey Ladish (CoRR, 2023)

BadLlama: cheaply removing safety fine-tuning from Llama 2-Chat 13B. - Pranav Gade; Simon Lermen; Charlie Rogers-Smith; Jeffrey Ladish (CoRR, 2023)

Exploring the Robustness of Model-Graded Evaluations and Automated Interpretability. - Simon Lermen; Ondrej Kvapil (CoRR, 2023)

Applying Refusal-Vector Ablation to Llama 3.1 70B Agents. - Simon Lermen; Mateusz Dziemian; Govind Pimpale (CoRR, 2024)

Evaluating Large Language Models' Capability to Launch Fully Automated Spear Phishing Campaigns: Validated on Human Subjects. - Fredrik Heiding; Simon Lermen; Andrew Kao; Bruce Schneier; Arun Vishwanath (CoRR, 2024)

Deceptive Automated Interpretability: Language Models Coordinating to Fool Oversight Systems. - Simon Lermen; Mateusz Dziemian; Natalia Pérez-Campanero Antolín (CoRR, 2025)