Marcel Zalmanovici

According to our database, Marcel Zalmanovici authored at least 19 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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, Subhajit Chaudhury, Pin-Yu Chen, Lamogha Chiazor, Elizabeth M. Daly, Rogério Abreu de Paula, Pierre L. Dognin, Eitan Farchi, Soumya Ghosh, Michael Hind, Raya Horesh, George Kour, Ja Young Lee, Erik Miehling, Keerthiram Murugesan, Manish Nagireddy, Inkit Padhi, David Piorkowski, Ambrish Rawat, Orna Raz, Prasanna Sattigeri, Hendrik Strobelt, Sarathkrishna Swaminathan, Christoph Tillmann, Aashka Trivedi, Kush R. Varshney, Dennis Wei, Shalisha Witherspoon, Marcel Zalmanovici

CoRR, 2024

2023

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

2022

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

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

Automatically detecting data drift in machine learning classifiers.

Samuel Ackerman, Orna Raz, Marcel Zalmanovici, Aviad Zlotnick

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

FreaAI: Automated extraction of data slices to test machine learning models.

Samuel Ackerman, Orna Raz, Marcel Zalmanovici

CoRR, 2021

Machine Learning Model Drift Detection Via Weak Data Slices.

Samuel Ackerman, Parijat Dube, Eitan Farchi, Orna Raz, Marcel Zalmanovici

Proceedings of the 3rd IEEE/ACM International Workshop on Deep Learning for Testing and Testing for Deep Learning, 2021

2020

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

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

Proceedings of the ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2019

Governance and Regulations Implications on Machine Learning (Brief Announcement).

Sima Nadler, Orna Raz, Marcel Zalmanovici

Proceedings of the Cyber Security Cryptography and Machine Learning, 2019

2018

Proactive and pervasive combinatorial testing.

Dale Blue, Orna Raz, Rachel Tzoref-Brill, Paul A. Wojciak, Marcel Zalmanovici

Proceedings of the 40th International Conference on Software Engineering: Software Engineering in Practice, 2018

Optimizing Hierarchical Classification with Adaptive Node Collapses.

Sujan Perera, Orna Raz, Ramani Routray, Shenghua Bao, Marcel Zalmanovici

Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2016

Cluster-based test suite functional analysis.

Marcel Zalmanovici, Orna Raz, Rachel Tzoref-Brill

Proceedings of the 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering, 2016

Coverage-based metrics for cloud adaptation.

Yonit Magid, Rachel Tzoref-Brill, Marcel Zalmanovici

Proceedings of the 2nd International Workshop on Quality-Aware DevOps, 2016

2013

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

2012

Refactoring techniques for aggressive object inlining in Java applications.

Yosi Ben-Asher, Tomer Gal, Gadi Haber, Marcel Zalmanovici

Autom. Softw. Eng., 2012

2008

Performance analysis and visualization tools for cell/B.E. multicore environment.

Duc Vianney, Gadi Haber, Andre Heilper, Marcel Zalmanovici

Proceedings of the 1st international forum on Next-generation multicore/manycore technologies, 2008

2006

Data Sharing Conscious Scheduling for Multi-threaded Applications on SMP Machines.

Shlomit S. Pinter, Marcel Zalmanovici

Proceedings of the Euro-Par 2006, Parallel Processing, 12th International Euro-Par Conference, Dresden, Germany, August 28, 2006