Ziv Katzir
Ziv Katzir
Ben-Gurion University, Department of Software and Information Systems Engineering
Verified email at post.bgu.ac.il
Title
Cited by
Cited by
Year
Network identity clustering
Z Katzir
US Patent 7,882,217, 2011
1042011
System and method for assessing cybersecurity awareness
A Shabtai, R Puzis, L Rokach, L Orevi, G Malinsky, Z Katzir, R Bitton
US Patent 10,454,958, 2019
422019
EduRank: Personalization in E-Learning using Collaborative Filtering
A Segal, Z Katzir, K Gal, G Shani, B Shapira
40*
Quantifying the resilience of machine learning classifiers used for cyber security
Z Katzir, Y Elovici
Expert Systems with Applications 92, 419-429, 2018
342018
Transfer learning for user action identication in mobile apps via encrypted trafc analysis
E Grolman, A Finkelshtein, R Puzis, A Shabtai, G Celniker, Z Katzir, ...
IEEE Intelligent Systems 33 (2), 40-53, 2018
172018
Method and system for context-aware data prioritization
Z Katzir
US Patent App. 11/968,428, 2009
142009
Method and system for context-aware data prioritization using a common scale and logical transactions
Z Katzir
US Patent 8,364,666, 2013
122013
Detecting Adversarial Perturbations through Spatial Behavior in Activation Spaces
Z Katzir, Y Elovici
https://arxiv.org/abs/1811.09043, 2018
72018
Not All Datasets Are Born Equal: On Heterogeneous Data and Adversarial Examples
E Levy, Y Mathov, Z Katzir, A Shabtai, Y Elovici
arXiv preprint arXiv:2010.03180, 2020
32020
Gradients cannot be tamed: Behind the impossible paradox of blocking targeted adversarial attacks
Z Katzir, Y Elovici
IEEE transactions on neural networks and learning systems 32 (1), 128-138, 2020
32020
System and method for generating data sets for learning to identify user actions
Z Katzir, G Celnicker, H Kovetz
US Patent 10,491,609, 2019
32019
System and method for applying transfer learning to identification of user actions
R Puzis, A Shabtai, G Celniker, L Rosenfeld, Z Katzir, E Grolman
US Patent App. 15/911,223, 2018
12018
Who's Afraid of Adversarial Transferability?
Z Katzir, Y Elovici
arXiv e-prints, arXiv: 2105.00433, 2021
2021
System and method for generating data sets for learning to identify user actions
Z Katzir, G Celnicker, H Kovetz
US Patent 10,944,763, 2021
2021
Adversarial robustness via stochastic regularization of neural activation sensitivity
G Fidel, R Bitton, Z Katzir, A Shabtai
arXiv preprint arXiv:2009.11349, 2020
2020
System and method for assessing cybersecurity awareness
A Shabtai, R Puzis, L Rokach, L Orevi, G Malinsky, Z Katzir, R Bitton
US Patent App. 16/658,797, 2020
2020
Why Blocking Targeted Adversarial Perturbations Impairs the Ability to Learn
Z Katzir, Y Elovici
https://arxiv.org/abs/1907.05718, 2019
2019
System and method for deanonymization of digital currency users
Z Katzir
US Patent App. 14/980,811, 2016
2016
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