SecJev: Bringing Security Expertise to System One Decision Models

cs.CR, cs.CL

Submitted: 2026-10-02

Updated: 2026-10-14

Comments: 22 pages, 1 figure

Code: https://github.com/UESTC1010/SecJev

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Sources

• ByzFL: Research Framework for Robust Federated Learning
• SecBench: A Comprehensive Multi-Dimensional Benchmarking Dataset for LLMs in Cybersecurity
• Punching Above Their Weight: Classification-Head Fine-Tuning of Tiny Language Models (TLMs) for Verifiable Multiple-Choice Tasks
• Decision Hijacking: Prompt Injection Attacks on Jev's Typed Probabilistic Decisions

Related papers

• SoK: AI-Augmented Binary Reversing
• Relaxed Sender Anonymity for CBDC Interbank Settlement: A Zero-Knowledge Approach on Permissioned EVM
• Calibration-Family Overfit: Why Trusted Sabotage Monitors Don't Transfer Across Lineages
• Efficient Fuzzy PSI under One-Sided Assumptions
• Sealing the Audit-Runtime Gap for LLM Skills
• Token Composition: A Graph Based on EVM Logs