This paper presents BadQubits, an LLM-based framework for static pre-execution detection of structurally harmful OpenQASM 2.0 circuits. The framework targets physical-execution-layer threats by analyzing submitted circuits prior to runtime, where dynamic inspection is constrained by measurement irreversibility and the...
Privacy exposure displacement, the mismatch between a local evaluation proxy and target-grounded session exposure, and ASLEval, an authorization-aware framework that pre-registers a hidden target set, measures all declared visible exits, and reserves internal traces for diagnosis are introduced.
Guo-Xin Wu, Hui-Zhen Huang, Guo-Xiong Long et al.· 0 citations
Echo is presented, a matching decompilation system based on trusted back-translation that uses compilation not only for verification, but also as trusted feedback to guide iterative search in exact matching for optimized binaries under unknown compilation configurations.
Jun Bi, Xiang-Xin Fang, A. Chaube et al.· 0 citations
Cybersecurity combines high-stakes analysis with complex technical language, making it an impactful and challenging domain for LLMs. We present MiST (Mid-trained Security Transformer), a suite of 8B and 32B models that achieve strong performance on public cybersecurity benchmarks. We use mid-training as an intermediate...
O. Ovadia, Elad Ben Zaken, Elad Guttman et al.· 0 citations
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This paper proposes a split-control architecture in which an untrusted planner emits typed security intents, a deterministic governor checks each intent against safety, resource, temporal-stability, and proportionality invariants, and only admitted actions are bound to signed receipts and compiled into pre-installed eB...
Ijaz Ahmad, Ijaz Ahmad, Flavio Esposito et al.· IEEE Conference on Communica...· 0 citations
PentestChain is presented, a ten-phase automated penetration testing framework that couples a curated, deterministic exploit map with a cost-aware AI cascade-a local Ollama model, kept off the critical path by a deterministic backbone, sustains end-to-end operation at zero measured paid-API cost.
R. Patel, Dipo Dunsin, M. Almaiah et al.· 0 citations
It is argued that self-modifying coding agents must be designed to be more resilient to such attacks, and properties of the vulnerability, benchmark, model, and agent scaffolding that are sufficient to enable a benchmark poisoning attack are distill.
The account motivates complementary defenses: strengthen resistance and recovery alongside prevention of spontaneous deviations, and audit and restrict unintended communication paths that can turn local failures into collective loss of control.
Xiang-Fan Wu, Zong-Hao Ying, Hui-Yu Wu et al.· 0 citations
The model is given a formal basis by transplanting the beta-factor model of common-cause failure from reliability engineering, a seven-step protocol whose outputs a third party can verify, a structural detectability analysis of a procurement-controls agent audited at three grades, and a Monte Carlo study of the model.
This work formalises stealthy false data injection for city-scale pedestrian sensing, where the map from latent flow to observation is far more rank deficient than in the power and water networks for which stealth has been characterised.
Oscar Mogollon Gutierrez, Fatemeh Ghasemi, MohammadHossein Homaei et al.· 1 citation
This work develops Publication Authority as an exact-state, non-transferable, single-use publication capability and instantiate it in PAC-2026 (Publication-Accountability Calculus), a machine-readable AIJIM Protocol candidate, and evaluates its fourth bounded semantic freeze (SF-4), a fixed-profile specification design...
Torsten Tiltack, Yi-Fei Dong, Kun Yu et al.· 0 citations
This work presents the first systematic robustness benchmark for local watermark robustness across 55 image transformations, and finds that signal distortions are often tolerated by the strongest methods, while geometric misalignment and generative local edits can completely impair payload recovery.
Kai Yao, Bence Szilágyi, Sebestyén Kamp et al.· 0 citations
Research Manager Mike Walker reflects on a career spanning hacker culture, cybersecurity, and AI, sharing lessons about trust, teamwork, leadership, and why solving difficult problems requires curiosity, judgment, agility—and an understanding of the rules. The post Learn the rules: The hacker mindset appeared first on Microsoft Research.
Critical flaws, compromised release channels and agentic AI threats landed within days of each other in mid-October 2026. Why “Black October” may say more about how well we now find weaknesses than about the attacks themselves. The post Black October? The Week AI Changed the Cybersecurity Conversation appeared first on GPT-Lab.
