Adversarial Robustness in Hybrid Quantum-Classical Deep Learning for Botnet DGA Detection
Author:
Affiliation:
1. Graduate School of Science and Technology, Kumamoto University
2. Center for Management of Information Technologies, Kumamoto University
3. Faculty of Advanced Science and Technology, Kumamoto University
Publisher
Information Processing Society of Japan
Subject
General Computer Science
Link
https://www.jstage.jst.go.jp/article/ipsjjip/30/0/30_636/_pdf
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3. [3] Taylor, R.D.: Quantum Artificial Intelligence: A ‘precautionary’ U.S. approach?, Telecommunications Policy, p.101909, DOI: 10.1016/j.telpol.2020.101909 (2020).
4. [4] Bruss, D., Erdélyi, G. Meyer, T., Riege, T. and Rothe, J.: Quantum cryptography: A survey, ACM Comput Surv, Vol.39, No.2, pp.6-es, DOI: 10.1145/1242471.1242474 (2007).
5. [5] Nejatollahi, H., Dutt, N., Ray, S., Regazzoni, F., Banerjee, I. and Cammarota, R.: Post-Quantum Lattice-Based Cryptography Implementations: A Survey, ACM Comput Surv, Vol.51, No.6, pp.129:1-129:41, DOI: 10.1145/3292548 (2019).
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