Quantifying the resilience of machine learning classifiers used for cyber security von Katzir, Ziv, Elovici, Yuval

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Gradients Cannot Be Tamed: Behind the Impossible Paradox of Blocking Targeted Adversarial Attacks von Katzir, Ziv, Elovici, Yuval

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Not all datasets are born equal: On heterogeneous tabular data and adversarial examples von Mathov, Yael, Levy, Eden, Katzir, Ziv, Shabtai, Asaf, Elovici, Yuval

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Transfer Learning for User Action Identication in Mobile Apps via Encrypted Trafc Analysis von Grolman, Edita, Finkelshtein, Andrey, Puzis, Rami, Shabtai, Asaf, Celniker, Gershon, Katzir, Ziv, Rosenfeld, Liron

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Who's Afraid of Adversarial Transferability? von Katzir, Ziv, Elovici, Yuval

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Why Blocking Targeted Adversarial Perturbations Impairs the Ability to Learn von Katzir, Ziv, Elovici, Yuval

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Detecting Adversarial Perturbations Through Spatial Behavior in Activation Spaces von Katzir, Ziv, Elovici, Yuval

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Who's Afraid of Adversarial Transferability? von Katzir, Ziv, Elovici, Yuval

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Not All Datasets Are Born Equal: On Heterogeneous Data and Adversarial Examples von Mathov, Yael, Levy, Eden, Katzir, Ziv, Shabtai, Asaf, Elovici, Yuval

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SYSTEM AND METHOD FOR DEANONYMIZATION OF DIGITAL CURRENCY USERS von KATZIR ZIV

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Adversarial robustness via stochastic regularization of neural activation sensitivity von Fidel, Gil, Bitton, Ron, Katzir, Ziv, Shabtai, Asaf

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Why Blocking Targeted Adversarial Perturbations Impairs the Ability to Learn von Katzir, Ziv, Elovici, Yuval

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System and method for generating data sets for learning to identify user actions von Celniker, Gershon, Katzir, Ziv, Kovetz, Hed

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Adversarial Machine Learning von Katzir, Ziv, Elovici, Yuval

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SYSTEM AND METHOD FOR GENERATING DATA SETS FOR LEARNING TO IDENTIFY USER ACTIONS von Celnicker, Gershon, Katzir, Ziv, Kovetz, Hed

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System and method for generating data sets for learning to identify user actions von Celnicker, Gershon, Katzir, Ziv, Kovetz, Hed

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NETWORK IDENTITY CLUSTERING von KATZIR, ZIV

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SYSTEM AND METHOD FOR GENERATING DATA SETS FOR LEARNING TO IDENTIFY USER ACTIONS von Celnicker, Gershon, Katzir, Ziv, Kovetz, Hed

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Method and system for context-aware data prioritization using a common scale and logical transactions von KATZIR ZIV

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Not All Datasets Are Born Equal: On Heterogeneous Data and Adversarial Examples von Mathov, Yael, Levy, Eden, Katzir, Ziv, Shabtai, Asaf, Elovici, Yuval

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