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Titlebook: Emerging Information Security and Applications; 4th International Co Jun Shao,Sokratis K. Katsikas,Weizhi Meng Conference proceedings 2024

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樓主: Bunion
41#
發(fā)表于 2025-3-28 18:14:32 | 只看該作者
1865-0929 A 2023, held in Hangzhou, China, in December 2023.?.The 11 full papers presented in this volume were thoroughly reviewed and selected from the 35 submissions. The topics of the book are related but not limited? to cyber intelligence techniques, multimedia security, blockchain and distributed ledger
42#
發(fā)表于 2025-3-28 18:45:55 | 只看該作者
43#
發(fā)表于 2025-3-29 02:22:27 | 只看該作者
1865-0929 tion, authentication and access control, anonymity and privacy, cryptographic protection, digital forensics, cyber physical systems security, adversarial learning, security measurement, security management and policies, hardware and physical security..978-981-99-9613-1978-981-99-9614-8Series ISSN 1865-0929 Series E-ISSN 1865-0937
44#
發(fā)表于 2025-3-29 05:19:35 | 只看該作者
Nachhaltiges Wachstum im Mittelstand The classification process of DNN-CMED is given based on the above protocol. Through safety analysis and experiments, it shows that the models have better security and practicality. The results show that this model has better results in terms of accuracy, time and communication overhead, and on the MNIST test set.
45#
發(fā)表于 2025-3-29 07:56:04 | 只看該作者
https://doi.org/10.1007/978-3-658-20174-6w that the accuracy of the fair model with privacy increases because privacy breaks the constraints of the fairness metrics. In our experiments, we conclude the relationship between privacy, fairness and utility, and there is a tradeoff between these.
46#
發(fā)表于 2025-3-29 13:32:52 | 只看該作者
,Deep Neural Network Model over?Encrypted Data, The classification process of DNN-CMED is given based on the above protocol. Through safety analysis and experiments, it shows that the models have better security and practicality. The results show that this model has better results in terms of accuracy, time and communication overhead, and on the MNIST test set.
47#
發(fā)表于 2025-3-29 19:02:21 | 只看該作者
,Toward the?Tradeoffs Between Privacy, Fairness and?Utility in?Federated Learning,w that the accuracy of the fair model with privacy increases because privacy breaks the constraints of the fairness metrics. In our experiments, we conclude the relationship between privacy, fairness and utility, and there is a tradeoff between these.
48#
發(fā)表于 2025-3-29 20:52:00 | 只看該作者
Maximilian Cedzich,Roland Jochem, it is feasible to represent the elliptic curve points only by their x-coordinate or y-coordinate through a compression function. This approach enables saving a significant amount of communication or storage in protocols such as BLS and IBE, thereby enhancing their efficiency.
49#
發(fā)表于 2025-3-30 01:05:31 | 只看該作者
,Pairing Compression on?Some Elliptic Curves with?Subgroups of?Embedding Degree 6 and?Its Applicatio, it is feasible to represent the elliptic curve points only by their x-coordinate or y-coordinate through a compression function. This approach enables saving a significant amount of communication or storage in protocols such as BLS and IBE, thereby enhancing their efficiency.
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