Daniel Takabi
Daniel Takabi
Professor and Director of School of Cybersecurity, Old Dominion University
Verified email at
Cited by
Cited by
Security and privacy challenges in cloud computing environments
H Takabi, JBD Joshi, GJ Ahn
Cryptodl: Deep neural networks over encrypted data
E Hesamifard, H Takabi, M Ghasemi
arXiv preprint arXiv:1711.05189, 2017
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
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
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
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
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
Self-Supervised Learning for Electroencephalography
MH Rafiei, LV Gauthier, H Adeli, D Takabi
IEEE Transactions on Neural Networks and Learning Systems, 1-15, 2022
Privacy Preserving Multi-party Machine Learning with Homomorphic Encryption
H Takabi, E Hesamifard, M Ghasemi
Private Multi-Party Machine Learning -- NIPS 2016 Workshop, 2016
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
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
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
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
A comprehensive approach for network attack forecasting
M GhasemiGol, A Ghaemi-Bafghi, H Takabi
computers & security 58, 83-105, 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
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
Exploring reactive access control
ML Mazurek, PF Klemperer, R Shay, H Takabi, L Bauer, LF Cranor
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems …, 2011
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
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
Trust-based user-role assignment in role-based access control
H Takabi, M Amini, R Jalili
2007 IEEE/ACS International Conference on Computer Systems and Applications …, 2007
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