Zobrazeno 1 - 10
of 119
pro vyhledávání: '"Danny Hendler"'
Autor:
Ron Korine, Danny Hendler
Publikováno v:
IEEE Access, Vol 9, Pp 78382-78399 (2021)
Numerous metamorphic and polymorphic malicious variants are generated automatically on a daily basis. In order to do that, malware vendors employ mutation engines that transform the code of a malicious program while retaining its functionality, aimin
Externí odkaz:
https://doaj.org/article/2af20ecb831b4dc58a2a32dd09ec8d96
Publikováno v:
Applied Sciences, Vol 12, Iss 17, p 8847 (2022)
Federated learning (FL) is a distributed machine learning paradigm where data are distributed among clients who collaboratively train a model in a computation process coordinated by a central server. By assigning a weight to each client based on the
Externí odkaz:
https://doaj.org/article/e5e8839bb3164558a90ec70d0080f9cb
Publikováno v:
Journal of Parallel and Distributed Computing. 163:181-197
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::265862952275a48fe7e782dd327bd148
https://doi.org/10.1016/j.jpdc.2022.01.025
https://doi.org/10.1016/j.jpdc.2022.01.025
HPC systems are a critical resource for scientific research. The increased demand for computational power and memory ushers in the exascale era, in which supercomputers are designed to provide enormous computing power to meet these needs. These compl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab6ae19cbe6128a7b427bb4d8edfe880
http://arxiv.org/abs/2204.11584
http://arxiv.org/abs/2204.11584
Publikováno v:
Proceedings of the 27th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7b887675eea271c0d0fac54125fd35f
https://doi.org/10.1145/3503221.3508444
https://doi.org/10.1145/3503221.3508444
Publikováno v:
Cyber Security, Cryptology, and Machine Learning ISBN: 9783031076886
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b751305ac1f4fb140cddc8cedac4991
https://doi.org/10.1007/978-3-031-07689-3_10
https://doi.org/10.1007/978-3-031-07689-3_10
Autor:
Yehonatan Fridman, Yaniv Snir, Matan Rusanovsky, Kfir Zvi, Harel Levin, Danny Hendler, Hagit Attiya, Gal Oren
As the High Performance Computing world moves towards the Exa-Scale era, huge amounts of data should be analyzed, manipulated and stored. In the traditional storage/memory hierarchy, each compute node retains its data objects in its local volatile DR
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::386d85ff2ea0b680b5aac97fa0b8edf0
http://arxiv.org/abs/2109.02166
http://arxiv.org/abs/2109.02166
Publikováno v:
Information Processing Letters. 142:72-76
The distributed multi-level multi-server paging problem (DMLMSP) defined in this paper extends and generalizes the classical distributed paging problem [3] to a distributed concurrent multi-level setting, in which multiple servers share caches at mul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4cec979fcddf607180e2ed02df73c54
https://doi.org/10.1016/j.ipl.2018.10.012
https://doi.org/10.1016/j.ipl.2018.10.012
Autor:
Dorel Yaffe, Danny Hendler
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030780852
CSCML
CSCML
We present a novel end-to-end solution for in-memory malicious activity detection done prior to exploitation by leveraging machine learning capabilities based on data from unique run-time logs, which are carefully curated in order to detect malicious
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b92425625bbbfa6c41c9fff40a5fbafe
https://doi.org/10.1007/978-3-030-78086-9_29
https://doi.org/10.1007/978-3-030-78086-9_29
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030910808
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::047deed27fb295662347c014c22b1c48
https://doi.org/10.1007/978-3-030-91081-5_38
https://doi.org/10.1007/978-3-030-91081-5_38