Deep Learning for Zero-day Malware Detection and Classification: A Survey |
10.1145/3605775 |
1402 |
06 |
Journal |
Android Malware Detection Using One-Class Graph Neural Networks |
10.22042/isecure.2022.14.3.6 |
1401 |
07 |
Journal |
Personalized Privacy-Preserving Publication of Trajectory Data by Generalization and Distortion of Moving Points |
10.1007/s10922-021-09617-5 |
1400 |
10 |
Journal |
A differentially private location generalization approach to guarantee non-uniform privacy in moving objects databases |
10.1016/j.knosys.2021.107084 |
1400 |
05 |
Journal |
انتشار پايگاه هاي داده مسير حركت با ضمانت حريم خصوصي تفاضلي |
NULL |
1400 |
02 |
Journal |
A fully spatial personalized differentially private mechanism to provide non-uniform privacy guarantees for spatial databases |
10.1016/j.is.2020.101526 |
1399 |
06 |
Journal |
Enhancing spatial and temporal utilities in differentially private moving objects database release |
10.1007/s10207-020-00516-5 |
1399 |
05 |
Journal |
PDP-SAG: Personalized Privacy Protection in Moving Objects Databases by Combining Differential Privacy and Sensitive Attribute Generalization |
10.1109/ACCESS.2019.2925236 |
1398 |
03 |
Journal |
Differentially private count queries over personalized-location trajectory databases |
10.1016/j.dib.2018.08.104 |
1397 |
07 |
Journal |
PLDP-TD: Personalized-location differentially private data analysis on trajectory databases |
10.1016/j.pmcj.2018.06.005 |
1397 |
06 |
Journal |
PPTD: Preserving personalized privacy in trajectory data publishing by sensitive attribute generalization and trajectory local suppression |
10.1016/j.knosys.2015.11.007 |
1394 |
11 |
Journal |