Data Sharing Conscious Scheduling for Multi-threaded Applications on SMP Machines. - Shlomit S. Pinter; Marcel Zalmanovici (Euro-Par, 2006)

Performance analysis and visualization tools for cell/B.E. multicore environment. - Duc Vianney; Gadi Haber; Andre Heilper; Marcel Zalmanovici (IFMT, 2008)

Refactoring techniques for aggressive object inlining in Java applications. - Yosi Ben-Asher; Tomer Gal; Gadi Haber; Marcel Zalmanovici (Autom. Softw. Eng., 2012)

JIT technology with C/C++: Feedback-directed dynamic recompilation for statically compiled languages. - Dorit Nuzman; Revital Eres; Sergei Dyshel; Marcel Zalmanovici; José G. Castaños (ACM Trans. Archit. Code Optim., 2013)

Coverage-based metrics for cloud adaptation. - Yonit Magid; Rachel Tzoref-Brill; Marcel Zalmanovici (QUDOS@ISSTA, 2016)

Cluster-based test suite functional analysis. - Marcel Zalmanovici; Orna Raz; Rachel Tzoref-Brill (SIGSOFT FSE, 2016)

Optimizing Hierarchical Classification with Adaptive Node Collapses. - Sujan Perera; Orna Raz; Ramani Routray; Shenghua Bao; Marcel Zalmanovici (AAAI Workshops, 2018)

Proactive and pervasive combinatorial testing. - Dale Blue; Orna Raz; Rachel Tzoref-Brill; Paul A. Wojciak; Marcel Zalmanovici (ICSE (SEIP), 2018)

Governance and Regulations Implications on Machine Learning (Brief Announcement). - Sima Nadler; Orna Raz; Marcel Zalmanovici (CSCML, 2019)

Bridging the gap between ML solutions and their business requirements using feature interactions. - Guy Barash; Eitan Farchi; Ilan Jayaraman; Orna Raz; Rachel Tzoref-Brill; Marcel Zalmanovici (ESEC/SIGSOFT FSE, 2019)

Detection of data drift and outliers affecting machine learning model performance over time. - Samuel Ackerman; Eitan Farchi; Orna Raz; Marcel Zalmanovici; Parijat Dube (CoRR, 2020)

Machine Learning Model Drift Detection Via Weak Data Slices. - Samuel Ackerman; Parijat Dube; Eitan Farchi; Orna Raz; Marcel Zalmanovici (DeepTest@ICSE, 2021)

FreaAI: Automated extraction of data slices to test machine learning models. - Samuel Ackerman; Orna Raz; Marcel Zalmanovici (CoRR, 2021)

Density-based interpretable hypercube region partitioning for mixed numeric and categorical data. - Samuel Ackerman; Eitan Farchi; Orna Raz; Marcel Zalmanovici; Maya Zohar (CoRR, 2021)

Automatically detecting data drift in machine learning classifiers. - Samuel Ackerman; Orna Raz; Marcel Zalmanovici; Aviad Zlotnick (CoRR, 2021)

Classifier Data Quality: A Geometric Complexity Based Method for Automated Baseline And Insights Generation. - George Kour; Marcel Zalmanovici; Orna Raz; Samuel Ackerman; Ateret Anaby-Tavor (CoRR, 2021)

High-quality Conversational Systems. - Samuel Ackerman; Ateret Anaby-Tavor; Eitan Farchi; Esther Goldbraich; George Kour; Ella Rabinovich; Orna Raz; Saritha Route; Marcel Zalmanovici; Naama Zwerdling (CoRR, 2022)

Unveiling Safety Vulnerabilities of Large Language Models. - George Kour; Marcel Zalmanovici; Naama Zwerdling; Esther Goldbraich; Ora Nova Fandina; Ateret Anaby-Tavor; Orna Raz; Eitan Farchi (CoRR, 2023)

Detectors for Safe and Reliable LLMs: Implementations, Uses, and Limitations. - Swapnaja Achintalwar; Adriana Alvarado Garcia; Ateret Anaby-Tavor; Ioana Baldini; Sara E. Berger; Bishwaranjan Bhattacharjee; Djallel Bouneffouf 001; Subhajit Chaudhury; Pin-Yu Chen; Lamogha Chiazor; Elizabeth M. Daly; Rogério Abreu de Paula; et al. (CoRR, 2024)

Generating Unseen Code Tests In Infinitum. - Marcel Zalmanovici; Orna Raz; Eitan Farchi; Iftach Freund (CoRR, 2024)

Exploring Straightforward Conversational Red-Teaming. - George Kour; Naama Zwerdling; Marcel Zalmanovici; Ateret Anaby-Tavor; Ora Nova Fandina; Eitan Farchi (CoRR, 2024)

Exploring Straightforward Methods for Automatic Conversational Red-Teaming. - George Kour; Naama Zwerdling; Marcel Zalmanovici; Ateret Anaby-Tavor; Ora Nova Fandina; Eitan Farchi (NAACL (Industry Track), 2025)