Does the Readout Bypass Leak the Input? A Feature-Visibility Audit of Hybrid Quantum-Classical Models

arXiv:2609.38720 · quant-ph, cs.CR · Submitted 2026-09-30 · Read on arXiv

quant-ph, cs.CR

Submitted: 2026-09-30

Updated: 2026-09-30

Terminology

• AUC — 12× in this paper · explained in 2 episodes
• Accuracy — 9× in this paper · explained in 1 episode
• Federated Learning — 9× in this paper · explained in 15 episodes
• Aggregation — 7× in this paper · explained in 1 episode
• Adam — 5× in this paper · explained in 2 episodes
• Differential Privacy — 2× in this paper · explained in 4 episodes
• Bayesian Framework — 1× in this paper · explained in 3 episodes
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Federated Learning (FL) — 1× in this paper · explained in 7 episodes
• In International Conference on Learning Representations — 1× in this paper
• In International Conference on Machine Learning — 1× in this paper
• Information Leakage — 1× in this paper · explained in 2 episodes

Sources

• iDLG: Improved Deep Leakage from Gradients

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