Peer-reviewedCC BYEntropy (Basel, Switzerland)
HQMSGAN: Enhancing Adversarial Robustness Using Hybrid Quantum-Classical Multi-Scale Generative Adversarial Network
Related
- Adversarial Robustness in Fake Quantum Simulators
- On the tradeoff between robustness and geometric accuracy in adversarial training
- Neural prediction decorrelation reveals that adversarial robustness substantially improves DNN prediction accuracy across the entire human auditory cortex
- Assessing Adversarial Robustness of Latent Reasoning Models
- Adversarial Training for Tabular Credit Scoring: A Multi-Attack Robustness Evaluation in P2P Lending
BibTeX
@article{anon2026hqmsgan,
title = {{HQMSGAN: Enhancing Adversarial Robustness Using Hybrid Quantum-Classical Multi-Scale Generative Adversarial Network}},
journal = {Entropy (Basel, Switzerland)},
year = {2026},
month = oct,
url = {https://europepmc.org/article/PMC/PMC13703222},
note = {CC BY},
}
RIS
TY - JOUR
TI - HQMSGAN: Enhancing Adversarial Robustness Using Hybrid Quantum-Classical Multi-Scale Generative Adversarial Network
PY - 2026
DA - 2026/10/01
JO - Entropy (Basel, Switzerland)
UR - https://europepmc.org/article/PMC/PMC13703222
SN - 1099-4300
ER -