Stebėti
Daniel Takabi
Daniel Takabi
Professor and Director of School of Cybersecurity, Old Dominion University
Patvirtintas el. paštas odu.edu
Pavadinimas
Cituota
Cituota
Metai
Security and privacy challenges in cloud computing environments
H Takabi, JBD Joshi, GJ Ahn
20132010
Cryptodl: Deep neural networks over encrypted data
E Hesamifard, H Takabi, M Ghasemi
arXiv preprint arXiv:1711.05189, 2017
4952017
Privacy-preserving Machine Learning as a Service
E Hesamifard, H Takabi, M Ghasemi, R Wright
Proceedings on Privacy Enhancing Technologies (PoPETs) 2018 (3), 123-142, 2018
3572018
Privacy threat and defense for federated learning with non-iid data in AIoT
Z Xiong, Z Cai, D Takabi, W Li
IEEE Transactions on Industrial Informatics 18 (2), 1310-1321, 2021
2192021
Securecloud: Towards a comprehensive security framework for cloud computing environments
H Takabi, JBD Joshi, GJ Ahn
2010 IEEE 34th Annual Computer Software and Applications Conference …, 2010
2162010
Self-Supervised Learning for Electroencephalography
MH Rafiei, LV Gauthier, H Adeli, D Takabi
IEEE Transactions on Neural Networks and Learning Systems, 1-15, 2022
1902022
Towards active detection of identity clone attacks on online social networks
L Jin, H Takabi, JBD Joshi
Proceedings of the first ACM conference on Data and application security and …, 2011
1592011
MOWS: multi-objective workflow scheduling in cloud computing based on heuristic algorithm
F Abazari, M Analoui, H Takabi, S Fu
Simulation Modelling Practice and Theory 93, 119-132, 2019
1282019
IEEE transactions on neural networks and learning systems
MH Rafiei, LV Gauthier, H Adeli, D Takabi
IEEE, 2022
1152022
Deep Neural Networks Classification over Encrypted Data
E Hesamifard, H Takabi, M Ghasemi
Proceedings of the Ninth ACM Conference on Data and Application Security and …, 2019
982019
Privacy Preserving Multi-party Machine Learning with Homomorphic Encryption
H Takabi, E Hesamifard, M Ghasemi
Private Multi-Party Machine Learning -- NIPS 2016 Workshop, 2016
952016
Privacy-preserving Machine Learning in Cloud
E Hesamifard, H Takabi, M Ghasemi, C Jones
2017 ACM CCS Cloud Computing Security Workshop (CCSW '17), 39-43, 2017
852017
DCDIDP: A Distributed, Collaborative, and Data-driven Intrusion Detection and Prevention Framework for Cloud Computing Environments
S Taghavi Zargar, H Takabi, JBD Joshi
Collaborative Computing: Networking, Applications and Worksharing, 2011 …, 2011
80*2011
StateMiner: an efficient similarity-based approach for optimal mining of role hierarchy
H Takabi, JBD Joshi
Proceedings of the 15th ACM symposium on Access control models and …, 2010
712010
A comprehensive approach for network attack forecasting
M GhasemiGol, A Ghaemi-Bafghi, H Takabi
computers & security 58, 83-105, 2016
682016
Effective Activation Functions for Homomorphic Evaluation of Deep Neural Networks
S Obla, X Gong, A Aloufi, P Hu, D Takabi
IEEE Access, 1-15, 2020
662020
A survey of deep learning architectures for privacy-preserving machine learning with fully homomorphic encryption
R Podschwadt, D Takabi, P Hu, MH Rafiei, Z Cai
IEEE Access 10, 117477-117500, 2022
642022
Inside the Mind of the Insider: Towards Insider Threat Detection Using Psychophysiological Signals
Y Hashem, H Takabi, M GhasemiGol, R Dantu
Journal of Internet Services and Information Security (JISIS) 6 (1), 20-36, 2016
62*2016
DLLMiner: structural mining for malware detection
M Narouei, M Ahmadi, G Giacinto, H Takabi, A Sami
Security and Communication Networks 8 (18), 3311-3322, 2015
622015
A Deep Learning Approach for Extracting Attributes of ABAC Policies
M Alohaly, H Takabi, E Blanco
Proceedings of the 23rd ACM on Symposium on Access Control Models and …, 2018
532018
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Straipsniai 1–20