4 citations · 4 across the 4 of their papers we have counts for
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cs.AI2026
Learning Steganography Is Easy, Learning Steganographic Reasoning Is Hard
Julian Schulz, Lukas Fülle, Rieke Fruengel
Chain-of-thought monitoring as an approach for AI oversight and control is threatened by the possibility of steganographic reasoning, where LLMs conceal their reasoning inside inno…
cs.AI2026
Monitor Jailbreaking: Evading Chain-of-Thought Monitoring Without Encoded Reasoning
Julian Schulz
Chain-of-thought (CoT) monitoring is a promising safety technique for reasoning models, enabling detection of problematic reasoning before models act. A key concern is encoded reas…
cs.AI2026
Demonstrating Generalization Failures via Mixtures of Conditional Policies
Jou Barzdukas, Jack Peck, Julian Schulz +3
Post-training of frontier language models is conducted on curated task suites, and inevitably leaves a distribution shift between training and deployment environments. This exposes…