巫婆
发表于 2025-3-26 23:41:02
http://reply.papertrans.cn/63/6207/620603/620603_31.png
chemoprevention
发表于 2025-3-27 02:33:12
Secure Multiparty Learning from Aggregation of Locally Trained Models,o the local private datasets. The generalization performance of . is excellent and almost equals to the accuracy of the model learned from the union of all the parties’ datasets. We implement . on MNIST, and extensive analysis shows that our method is effective, efficient and secure.
感染
发表于 2025-3-27 07:06:03
http://reply.papertrans.cn/63/6207/620603/620603_33.png
旅行路线
发表于 2025-3-27 10:07:26
http://reply.papertrans.cn/63/6207/620603/620603_34.png
projectile
发表于 2025-3-27 17:23:29
Quantifiable Network Security Measurement: A Study Based on an Index System,We illustrate the corresponding theories and the usages of each selected indicators and we also complete the real-time security measurement in various attacks and defenses by using NS3 simulator. The simulation results verify the correctness and rationality of the proposed Security Measurement Index System.
aggravate
发表于 2025-3-27 21:49:05
http://reply.papertrans.cn/63/6207/620603/620603_36.png
熄灭
发表于 2025-3-27 22:45:23
An Enumeration-Like Vector Sampling Method for Solving Approximate SVP,new sampling method is a universal framework that can be embedded into most of the sampling-reduction algorithms. The experimental result shows that sampling reduction algorithm with the new sampling method embedded runs faster than the original Restricted Reduction (RR) algorithm within 90 dimensions.
HAIRY
发表于 2025-3-28 04:31:08
http://reply.papertrans.cn/63/6207/620603/620603_38.png
变白
发表于 2025-3-28 08:56:51
A Lightweight Secure IoT Surveillance Framework Based on DCT-DFRT Algorithms,d on discrete fractional random transform (DFRT) and Chen chaotic system. The proposed framework is fast and ensures real-time processing. Furthermore, this framework has the ability to reduce the transmission cost, and storage required during transmitting the video surveillance.
ELATE
发表于 2025-3-28 10:52:09
0302-9743 apers detail all aspects of machine learning in network infrastructure security, in network security detections and in application software security..978-3-030-30618-2978-3-030-30619-9Series ISSN 0302-9743 Series E-ISSN 1611-3349