Detecting Edit Failures In Large Language Models: An Improved Specificity Benchmark. - Jason Hoelscher-Obermaier; Julia Persson; Esben Kran; Ioannis Konstas; Fazl Barez (ACL (Findings), 2023)

N2G: A Scalable Approach for Quantifying Interpretable Neuron Representations in Large Language Models. - Alex Foote; Neel Nanda; Esben Kran; Ioannis Konstas; Fazl Barez (CoRR, 2023)

Neuron to Graph: Interpreting Language Model Neurons at Scale. - Alex Foote; Neel Nanda; Esben Kran; Ioannis Konstas; Shay B. Cohen; Fazl Barez (CoRR, 2023)

DeepDecipher: Accessing and Investigating Neuron Activation in Large Language Models. - Albert Garde; Esben Kran; Fazl Barez (CoRR, 2023)

Catastrophic Cyber Capabilities Benchmark (3CB): Robustly Evaluating LLM Agent Cyber Offense Capabilities. - Andrey Anurin; Jonathan Ng; Kibo Schaffer; Jason Schreiber; Esben Kran (CoRR, 2024)

Benchmark Inflation: Revealing LLM Performance Gaps Using Retro-Holdouts. - Jacob Haimes; Cenny Wenner; Kunvar Thaman; Vassil Tashev; Clement Neo; Esben Kran; Jason Schreiber (CoRR, 2024)

Multi-Agent Security Tax: Trading Off Security and Collaboration Capabilities in Multi-Agent Systems. - Pierre Peigné; Mikolaj Kniejski; Filip Sondej; Matthieu David; Jason Hoelscher-Obermaier; Christian Schröder de Witt; Esben Kran (AAAI, 2025)

DarkBench: Benchmarking Dark Patterns in Large Language Models. - Esben Kran; Jord Nguyen; Akash Kundu; Sami Jawhar; Jinsuk Park; Mateusz Maria Jurewicz (ICLR, 2025)

Multi-Agent Risks from Advanced AI. - Lewis Hammond; Alan Chan; Jesse Clifton; Jason Hoelscher-Obermaier; Akbir Khan; Euan McLean; Chandler Smith; Wolfram Barfuss; Jakob N. Foerster; Tomas Gavenciak; The Anh Han; Edward Hughes 001; et al. (CoRR, 2025)

DarkBench: Benchmarking Dark Patterns in Large Language Models. - Esben Kran; Jord Nguyen; Hieu Minh; Akash Kundu; Sami Jawhar; Jinsuk Park; Mateusz Maria Jurewicz (CoRR, 2025)