Organization profile
Organization profile
The Institute for Software, Systems, and Security (S³) is a unique research center that unites experts from across computer science into a vibrant multidisciplinary community. Its work spans the full spectrum of computing: from traditional cybersecurity to AI security and AI-driven methods for cyber defense; from software engineering and the design of reliable, efficient systems, through databases and intelligent information management, to parallel and distributed computing that supports large-scale, high-performance applications. Beyond advancing theoretical knowledge, the institute actively addresses the urgent challenges of the digital age, with a strong focus on developing new approaches to securing AI systems, defending against adversarial attacks, and ensuring the safe and responsible use of AI technologies in strengthening cyber resilience. At its core, the institute promotes interdisciplinary collaboration, cultivating a culture of joint research, knowledge sharing, and innovation that drives groundbreaking solutions.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
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Miriam Balaban
- Institute for Software, Systems, and Security - Retired Associate Professor
Person: Retired
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Yuval Elovici
- Institute for Software, Systems, and Security - Full Professor
- Deutsche Telekom Innovation Laboratories - Center Director
Person: Academic, Administrative
Research output
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Addressing key challenges of adversarial attacks and defenses in the tabular domain: A methodological framework for coherence and consistency
Itzhakev, Y., Giloni, A., Elovici, Y. & Shabtai, A., 1 Jan 2026, In: Applied Soft Computing. 186, 113998.Research output: Contribution to journal › Article › peer-review
Open Access -
Building trust in AI-driven venture capital decisions: A comparative study of SHAP and GPT explanations
Setty, R., Elovici, Y. & Schwartz, D., 1 Mar 2026, In: Journal of Behavioral and Experimental Finance. 49, 101148.Research output: Contribution to journal › Article › peer-review
Open Access -
Effects of uncertainty and affective content on large language models' disaster assessment: A controlled comparison using synthetic disaster data
Cohen, I. C., Littor, N., Elyashar, A., Cohen, O. & Puzis, R., 1 Apr 2026, In: Progress in Disaster Science. 30, 100571.Research output: Contribution to journal › Article › peer-review
Open Access
Press/Media
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New Information Technology Findings from Ben-Gurion University of the Negev Discussed (Understanding and Addressing Concept Drift In Website Fingerprinting)
2/02/26
1 item of Media coverage
Press/Media
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New Cybersecurity and Privacy Findings from Ben-Gurion University of the Negev Published [Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World]
Nassi, B., Shabtai, A., Elovici, Y. & Shams, J.
6/01/26
1 item of Media coverage
Press/Media
Datasets
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RT Spoofing Attacks on MIL-STD-1553 Communication Traffic
Porgador, A. (Contributor), Nameri, Y. (Contributor), Roytman, M. (Contributor), Steren, A. (Contributor), Yahalom, R. (Creator), Elovici, Y. (Contributor) & Barishev, D. (Contributor), Mendeley Data, 2019
DOI: 10.17632/jvgdrmjvs3.3, https://data.mendeley.com/datasets/jvgdrmjvs3
Dataset
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Beyond Rudimentary Properties of Shared Objects
Attiya, H. (PI) & Hendler, D. (CoPI)
1/01/25 → 31/12/28
Project: Research
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