20 citations · 20 across the 5 of their papers we have counts for
7 papers
Context Kubernetes: Declarative Orchestration of Enterprise Knowledge for Agentic AI Systems
Charafeddine Mouzouni
We introduce Context Kubernetes, an architecture for orchestrating enterprise knowledge in agentic AI systems, with a prototype implementation and eight experiments. The core obser…
Mapping the Exploitation Surface: A 10,000-Trial Taxonomy of What Makes LLM Agents Exploit Vulnerabilities
Charafeddine Mouzouni
LLM agents with tool access can discover and exploit security vulnerabilities. This is known. What is not known is which features of a system prompt trigger this behaviour, and whi…
Three Phases of Expert Routing: How Load Balance Evolves During Mixture-of-Experts Training
Charafeddine Mouzouni
We model Mixture-of-Experts (MoE) token routing as a congestion game with a single effective parameter, the congestion coefficient gamma_eff, that quantifies the balance-quality tr…
Black-Box Reliability Certification for AI Agents via Self-Consistency Sampling and Conformal Calibration
Charafeddine Mouzouni
Given a black-box AI system and a task, at what confidence level can a practitioner trust the system's output? We answer with a reliability level -- a single number per system-task…
A Mean Field Game of Portfolio Trading and Its Consequences On Perceived Correlations
Charles-Albert Lehalle, Charafeddine Mouzouni
This paper goes beyond the optimal trading Mean Field Game model introduced by Pierre Cardaliaguet and Charles-Albert Lehalle in [Cardaliaguet, P. and Lehalle, C.-A., Mean field ga…
On mean field games models for exhaustible commodities trade
P. Jameson Graber, Charafeddine Mouzouni
We investigate a mean field game model for the production of exhaustible resources. In this model, firms produce comparable goods, strategically set their production rate in order…