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2020 – today
- 2022
[j4]Yael Mathov
, Eden Levy, Ziv Katzir, Asaf Shabtai, Yuval Elovici:
Not all datasets are born equal: On heterogeneous tabular data and adversarial examples. Knowl. Based Syst. 242: 108377 (2022)- 2021
- [j3]Ziv Katzir, Yuval Elovici:
Gradients Cannot Be Tamed: Behind the Impossible Paradox of Blocking Targeted Adversarial Attacks. IEEE Trans. Neural Networks Learn. Syst. 32(1): 128-138 (2021) - [i5]Ziv Katzir, Yuval Elovici:
Who's Afraid of Adversarial Transferability? CoRR abs/2105.00433 (2021) - 2020
- [i4]Gil Fidel, Ron Bitton, Ziv Katzir, Asaf Shabtai:
Adversarial robustness via stochastic regularization of neural activation sensitivity. CoRR abs/2009.11349 (2020) - [i3]Eden Levy, Yael Mathov, Ziv Katzir, Asaf Shabtai, Yuval Elovici:
Not All Datasets Are Born Equal: On Heterogeneous Data and Adversarial Examples. CoRR abs/2010.03180 (2020)
2010 – 2019
- 2019
- [c2]Ziv Katzir, Yuval Elovici:
Detecting Adversarial Perturbations Through Spatial Behavior in Activation Spaces. IJCNN 2019: 1-9 - [i2]Ziv Katzir, Yuval Elovici:
Why Blocking Targeted Adversarial Perturbations Impairs the Ability to Learn. CoRR abs/1907.05718 (2019) - 2018
- [j2]Ziv Katzir, Yuval Elovici:
Quantifying the resilience of machine learning classifiers used for cyber security. Expert Syst. Appl. 92: 419-429 (2018) - [j1]Edita Grolman, Andrey Finkelshtein, Rami Puzis, Asaf Shabtai, Gershon Celniker, Ziv Katzir, Liron Rosenfeld:
Transfer Learning for User Action Identication in Mobile Apps via Encrypted Trafc Analysis. IEEE Intell. Syst. 33(2): 40-53 (2018) - [i1]Ziv Katzir, Yuval Elovici:
Detecting Adversarial Perturbations Through Spatial Behavior in Activation Spaces. CoRR abs/1811.09043 (2018) - 2014
- [c1]Avi Segal, Ziv Katzir, Kobi Gal, Guy Shani, Bracha Shapira:
EduRank: A Collaborative Filtering Approach to Personalization in E-learning. EDM 2014: 68-75
Coauthor Index
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