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- research-articleJuly 2024
A blind signature scheme for IoV based on 2D-SCML image encryption and lattice cipher
Expert Systems with Applications: An International Journal (EXWA), Volume 246, Issue CJul 2024https://doi.org/10.1016/j.eswa.2024.123215AbstractToday’s Internet of Vehicles (IoV) faces many security risks in the data transmission process, and image data is more vulnerable to security threats in the transmission process due to its special characteristics such as large amounts of ...
Highlights- Designed blind signature scheme for IoV using image encryption and lattice cipher.
- Proposed a crossover model structure is proposed.
- Designed a 2D-SCML mapping with superior performance based on this model.
- Devised an image ...
- research-articleApril 2024
Selective transfer subspace learning for small-footprint end-to-end cross-domain keyword spotting
Speech Communication (SPCO), Volume 156, Issue CJan 2024https://doi.org/10.1016/j.specom.2023.103019AbstractIn small-footprint end-to-end keyword spotting, it is often expensive and time-consuming to acquire sufficient labels in various speech scenarios. To overcome this problem, transfer learning leverages the rich knowledge of the auxiliary domain to ...
Highlights- STSL is proposed for improving the accuracy of CDKWS in various speech scenarios.
- STSL avoids negative transfer by actively selecting source samples for TL.
- STSL aligns TL and active selection to learn a domain-invariant projection ...
- research-articleNovember 2023
Incorporating self-attentions into robust spatial-temporal graph representation learning against dynamic graph perturbations
Computing (CMPT), Volume 106, Issue 7Jul 2024, Pages 2211–2237https://doi.org/10.1007/s00607-023-01235-0AbstractThis paper proposes a Robust Spatial-Temporal Graph Neural Network (RSTGNN), which overcomes the limitations faced by graph-based models against dynamic graph perturbations using robust spatial-temporal self-attentions to learn dynamic graph ...
- research-articleApril 2023
Research on cloud data encryption algorithm based on bidirectional activation neural network
Information Sciences: an International Journal (ISCI), Volume 622, Issue CApr 2023, Pages 629–651https://doi.org/10.1016/j.ins.2022.11.089AbstractRecently, it has been found that cloud storage still has security risks, and research on the security and privacy of user data and information is still in the early stage. This paper studies the security risks of cloud data, and ...
- research-articleJanuary 2020
DeepReturn: A deep neural network can learn how to detect previously-unseen ROP payloads without using any heuristics
Journal of Computer Security (JOCS), Volume 28, Issue 52020, Pages 499–523https://doi.org/10.3233/JCS-191368Return-oriented programming (ROP) is a code reuse attack that chains short snippets of existing code to perform arbitrary operations on target machines. Existing detection methods against ROP exhibit unsatisfactory detection accuracy and/or have high ...
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- research-articleJanuary 2020
On the Analysis and Improvement of Min-Entropy Estimation on Time-Varying Data
IEEE Transactions on Information Forensics and Security (TIFS), Volume 152020, Pages 1696–1708https://doi.org/10.1109/TIFS.2019.2947871Widely used as fundamental security components in most cryptographic applications, random number generators (RNGs) rely mainly on randomness provided by entropy sources. If the provided randomness is less than expected, RNGs may be compromised and thus ...
- research-articleFebruary 2016
Image and medical annotations using non-homogeneous 2D ruler learning models
Computers and Electrical Engineering (CENG), Volume 50, Issue CFebruary 2016, Pages 102–110https://doi.org/10.1016/j.compeleceng.2016.01.011A metric learning model directly calibrating measured numerics of feature data.A 2D semi-metric model by relaxing one degree of freedom.Simple and intuitively natural models solvable by convex quadratic programming. We propose a metric learning model ...
- ArticleMay 2012
Effects of Ginkgo Biloba Extract on Cellular Cholesterol Content and CD36 Expression of Macrophages from Diabetic Rats
ICBEB '12: Proceedings of the 2012 International Conference on Biomedical Engineering and BiotechnologyMay 2012, Pages 221–223https://doi.org/10.1109/iCBEB.2012.180We did the experiment for exploring effects of Ginkgo leaf extract (EGb) on levels of cellular cholesterol content and CD36 expression of macrophages from diabetic rats, and to investigate the possible action-mechanism of EGb treatment atherosclerosis ...