Adversarial Limits of Quantum Certification: When Eve Defeats Detection
Davut Emre Tasar

TL;DR
This paper demonstrates that classical adversaries can effectively evade quantum correlation detection in QKD, revealing critical flaws in current certification methods and proposing improved, robust testing procedures.
Contribution
It introduces Eve-GAN, a generative adversarial network that produces classical correlations indistinguishable from quantum, exposing vulnerabilities in existing quantum certification techniques.
Findings
Eve-GAN can evade detection with only 5% classical admixture.
Calibration methods inflate detection performance by 44%.
Classical adversaries outperform noisy quantum systems on CHSH metrics.
Abstract
Security of quantum key distribution (QKD) relies on certifying that observed correlations arise from genuine quantum entanglement rather than eavesdropper manipulation. Theoretical security proofs assume idealized conditions, practical certification must contend with adaptive adversaries who optimize their attack strategies against detection systems. Established fundamental adversarial limits for quantum certification using Eve GAN, a generative adversarial network trained to produce classical correlations indistinguishable from quantum. Our central finding: when Eve interpolates her classical correlations with quantum data at mixing parameter, all tested detection methods achieve ROC AUC = 0.50, equivalent to random guessing. This means an eavesdropper needs only 5% classical admixture to completely evade detection. Critically, we discover that same distribution calibration a common…
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Taxonomy
TopicsQuantum Information and Cryptography · Quantum Computing Algorithms and Architecture · Quantum Mechanics and Applications
