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cs.CR2026
Key Recovery from Residue-Confined Errors in Pradhan CRT-RLWE
Lukasz Olejnik, Bartosz Naskrecki
We show that the CRT-FHE scheme of Pradhan et al.\ is insecure for laws within its assumed error distribution range. The secret key follows from the public key by a single ring inv…
cs.CR2026
AI Grinding for Fun and Cryptanalysis
Lukasz Olejnik, Bartosz Naskrecki
We present an autonomous cryptanalysis workflow in which agents generate, test, and refine hypotheses before human review. The autonomous stage returns reproducible candidates with…
cs.AI2026
IO Factory: Simulating AI-Enabled Influence Campaigns at Scale
Lukasz Olejnik, Wenchao Dong, Jonas R. Kunst +4
We introduce IO Factory, an AI-driven framework for simulating information and influence campaigns as fully integrated, traceable processes. The threat of digital manipulation now…