Funder
NSFC
National Key Clinical Specialty Discipline Construction Program of China
Sichuan Provincial Key Laboratory of Shock and Vibration of Engineering Materials and Structures, Southwest University of Science and Technology
Key Laboratory of Applied Nuclear Techniques in Geosciences Sichuan, Chengdu University of Technology
Natural Science Foundation of Shandong Province
National Aerospace Science Foundation of China
Key Research and Development Program of Zhejiang Province
Hubei Provincial Central Guidance Local Science and Technology Development Project
Science and Technology Support Program of Jiangsu Province
Science and Technology Innovation as a Whole Plan Projects of Shaanxi Province
Reference46 articles.
1. Abadi, Martin, Chu, Andy, Goodfellow, Ian, McMahan, H Brendan, Mironov, Ilya, Talwar, Kunal, Zhang, Li, 2016. Deep learning with differential privacy. In: Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security. pp. 308–318.
2. Bell, James Henry, Bonawitz, Kallista A, Gascón, Adrià, Lepoint, Tancrède, Raykova, Mariana, 2020. Secure single-server aggregation with (poly) logarithmic overhead. In: Proceedings of the 2020 ACM SIGSAC Conference on Computer and Communications Security. pp. 1253–1269.
3. Bonawitz, Keith, Ivanov, Vladimir, Kreuter, Ben, Marcedone, Antonio, McMahan, H Brendan, Patel, Sarvar, Ramage, Daniel, Segal, Aaron, Seth, Karn, 2017. Practical secure aggregation for privacy-preserving machine learning. In: Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security. pp. 1175–1191.
4. du-CBA: Data-agnostic and incremental classification-based association rules extraction architecture du-CBA: Veriden habersiz ve artirimli siniflandirmaya dayali birliktelik kurallari çikarma mimarisi;Büyüktanir;J. Faculty Eng. Archit. Gazi Univ.,2023
5. A training-integrity privacy-preserving federated learning scheme with trusted execution environment;Chen;Inform. Sci.,2020