Utilizing transfer learning for in-domain collaborative filtering. - Edita Grolman; Ariel Bar; Bracha Shapira; Lior Rokach; Aviram Dayan (Knowl. Based Syst., 2016)

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)

FEPC: Fairness Estimation Using Prototypes and Critics for Tabular Data. - Amit Giloni; Edita Grolman; Yuval Elovici; Asaf Shabtai (ICPR, 2022)

HateVersarial: Adversarial Attack Against Hate Speech Detection Algorithms on Twitter. - Edita Grolman; Hodaya Binyamini; Asaf Shabtai; Yuval Elovici; Ikuya Morikawa; Toshiya Shimizu (UMAP, 2022)

How and when to stop the co-training process. - Edita Grolman; Dvir Cohen; Tatiana Frenklach; Asaf Shabtai; Rami Puzis (Expert Syst. Appl., 2022)

Pros and Cons of Weight Pruning for Out-of-Distribution Detection: An Empirical Survey. - Satoru Koda; Alon Zolfi; Edita Grolman; Asaf Shabtai; Ikuya Morikawa; Yuval Elovici (IJCNN, 2023)

SMART: Serverless Module Analysis and Recognition Technique for Managed Applications. - Adi Ashkenazi; Edita Grolman; Aviad Elyashar; Dudu Mimran; Oleg Brodt; Yuval Elovici; Asaf Shabtai (CCGrid, 2024)

AdversariaLeak: External Information Leakage Attack Using Adversarial Samples on Face Recognition Systems. - Roye Katzav; Amit Giloni; Edita Grolman; Hiroo Saito; Tomoyuki Shibata; Tsukasa Omino; Misaki Komatsu; Yoshikazu Hanatani; Yuval Elovici; Asaf Shabtai (ECCV (75), 2024)

Query-Based External Information Leakage Attacks on Face Recognition Models. - Edita Grolman; Amit Giloni; Ryuta Kremer; Hiroo Saito; Tomoyuki Shibata; Tsukasa Omino; Misaki Komatsu; Yoshikazu Hanatani; Asaf Shabtai; Yuval Elovici (IJCNN, 2024)

STFL: Utilizing a Semi-Supervised, Transfer-Learning, Federated-Learning Approach to Detect Phishing URL Attacks. - Ido Sakazi; Edita Grolman; Yuval Elovici; Asaf Shabtai (IJCNN, 2024)

Secure Crowdsource-Based Open-Source Code Verification (SC)^2V. - Mor Nahum; Edita Grolman; Inbar Maimon; Dudu Mimran; Oleg Brodt; Aviad Elyashar; Yuval Elovici; Asaf Shabtai (SAC, 2024)

OSSIntegrity: Collaborative open-source code integrity verification. - Mor Nahum; Edita Grolman; Inbar Maimon; Dudu Mimran; Oleg Brodt; Aviad Elyashar; Yuval Elovici; Asaf Shabtai (Comput. Secur., 2024)

Observability and Incident Response in Managed Serverless Environments Using Ontology-Based Log Monitoring. - Lavi Ben-Shimol; Edita Grolman; Aviad Elyashar; Inbar Maimon; Dudu Mimran; Oleg Brodt; Martin Strassmann; Heiko Lehmann; Yuval Elovici; Asaf Shabtai (CoRR, 2024)

BENN: Bias Estimation Using a Deep Neural Network. - Amit Giloni; Edita Grolman; Tanja Hagemann; Ronald Fromm; Sebastian Fischer; Yuval Elovici; Asaf Shabtai (IEEE Trans. Neural Networks Learn. Syst., 2024)

KDAT: Inherent Adversarial Robustness via Knowledge Distillation with Adversarial Tuning for Object Detection Models. - Yarin Yerushalmi Levi; Edita Grolman; Idan Yankelev; Amit Giloni; Omer Hofman; Toshiya Shimizu; Asaf Shabtai; Yuval Elovici (AAAI, 2025)

Using image conversion techniques to detect adversarial examples in machine learning models for tabular data. - Zahi Kapri; Edita Grolman; Ikuya Morikawa; Toshiya Shimizu; Yuval Elovici; Asaf Shabtai (Appl. Soft Comput., 2025)

Rogue Cell: Adversarial Attack and Defense in Untrusted O-RAN Setup Exploiting the Traffic Steering xApp. - Eran Aizikovich; Dudu Mimran; Edita Grolman; Yuval Elovici; Asaf Shabtai (CoRR, 2025)