Author

Ines Ortega-Fernandez

MATS Research

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Preprint Oct 2026

Anytime-valid detection of LLM weight exfiltration

A compromised LLM inference server can leak model weights by encoding payload bits in otherwise plausible token choices. A replay of the same prompt in a trusted server can expose such deviations, but benign numerical nondeterminism also causes token mismatches. Patient attackers can therefore hide within normal variat...

Ines Ortega-Fernandez, Mateusz Kowalczyk, Keri Warr · 0 citations

2026

Data Management and I/O Provisioning Across Cloud-Edge Continuum for High-Performance Computational Data Pipelines

This paper presents an architecture for data management and I/O provisioning that supports the execution of high-performance data pipelines across the cloud–edge continuum and combines federated data management, intelligent data placement, and continuum-aware resource orchestration within a unified platform.

B. Kryza, R. Słota, Łukasz Dutka et al. · International Conference on... · 0 citations