EduRank: A Collaborative Filtering Approach to Personalization in E-learning. - Avi Segal; Ziv Katzir; Kobi Gal; Guy Shani; Bracha Shapira (EDM, 2014)

Quantifying the resilience of machine learning classifiers used for cyber security. - Ziv Katzir; Yuval Elovici (Expert Syst. Appl., 2018)

Transfer Learning for User Action Identication in Mobile Apps via Encrypted Trafc Analysis. - Edita Grolman; Andrey Finkelshtein; Rami Puzis; Asaf Shabtai; Gershon Celniker; Ziv Katzir; Liron Rosenfeld (IEEE Intell. Syst., 2018)

Detecting Adversarial Perturbations Through Spatial Behavior in Activation Spaces. - Ziv Katzir; Yuval Elovici (IJCNN, 2019)

Why Blocking Targeted Adversarial Perturbations Impairs the Ability to Learn. - Ziv Katzir; Yuval Elovici (CoRR, 2019)

Adversarial robustness via stochastic regularization of neural activation sensitivity. - Gil Fidel; Ron Bitton; Ziv Katzir; Asaf Shabtai (CoRR, 2020)

Not All Datasets Are Born Equal: On Heterogeneous Data and Adversarial Examples. - Eden Levy; Yael Mathov; Ziv Katzir; Asaf Shabtai; Yuval Elovici (CoRR, 2020)

Who's Afraid of Adversarial Transferability? - Ziv Katzir; Yuval Elovici (CoRR, 2021)

Gradients Cannot Be Tamed: Behind the Impossible Paradox of Blocking Targeted Adversarial Attacks. - Ziv Katzir; Yuval Elovici (IEEE Trans. Neural Networks Learn. Syst., 2021)

Not all datasets are born equal: On heterogeneous tabular data and adversarial examples. - Yael Mathov; Eden Levy; Ziv Katzir; Asaf Shabtai; Yuval Elovici (Knowl. Based Syst., 2022)

International AI Safety Report. - Yoshua Bengio; Sören Mindermann; Daniel Privitera; Tamay Besiroglu; Rishi Bommasani; Stephen Casper; Yejin Choi 001; Philip Fox; Ben Garfinkel; Danielle Goldfarb; Hoda Heidari; Anson Ho; et al. (CoRR, 2025)