Scholar
Christian Schroeder de Witt
Google Scholar ID: DE60h_0AAAAJ
University of Oxford
Multi-agent Learning
Security
Safety
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Citations & Impact
All-time
Citations
7,448
H-index
20
i10-index
34
Publications
20
Co-authors
12
list available
Contact
Email
clinic@wittlab.ai
GitHub
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Publications
16 items
Detecting Multi-Agent Collusion Through Multi-Agent Interpretability
2026
Cited
0
A Decision-Theoretic Formalisation of Steganography With Applications to LLM Monitoring
2026
Cited
0
Towards Understanding Multimodal Fine-Tuning: Spatial Features
2026
Cited
0
VET Your Agent: Towards Host-Independent Autonomy via Verifiable Execution Traces
2025
Cited
0
Sensitivity Analysis for Climate Science with Generative Flow Models
2025
Cited
0
Architecting Resilient LLM Agents: A Guide to Secure Plan-then-Execute Implementations
2025
Cited
0
Extending the OWASP Multi-Agentic System Threat Modeling Guide: Insights from Multi-Agent Security Research
2025
Cited
0
Mitigating Goal Misgeneralization with Minimax Regret
2025
Cited
0
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Resume (English only)
Co-authors
12 total
Jakob Foerster
Associate Professor, University of Oxford
Philip Torr
Professor, University of Oxford
Shimon Whiteson
Professor of Computer Science, University of Oxford / Senior Staff Research Scientist, Waymo
Mikayel Samvelyan
Google DeepMind
Gregory Farquhar
DeepMind
Tabish Rashid
Microsoft Research
Wendelin Böhmer
Sequential Decision Making Group, Delft University of Technology
Co-author 8
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