Shir Bernstein in

Shir Bernstein

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AI & Cybersecurity Researcher at CBG - Cyber@Ben Gurion University
📍 Be'er Sheva, South District, Israel

Shir Bernstein is a Masters student and AI & Cybersecurity Researcher at Ben-Gurion University. Her research focuses on the security vulnerabilities and biases within Large Language Models. Notably, her M. Sc. thesis on exploiting LLM pattern bias was accepted to the top-tier NDSS 2026 security conference.

Outside of her research, Shir has a pragmatic and humorous approach to technology, enjoying code jokes and even engineering solutions for personal annoyances like keyboard language errors. She actively engages with the cybersecurity community by attending events such as Microsofts BlueHat IL conference.

Unique fact: Her research demonstrates how to hijack static code analysis in advanced AI models by exploiting their inherent pattern biases.

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Experience
4 Years
Current Role
AI & Cybersecurity Researcher
Location
Be'er Sheva, South District, Israel
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Priorities

Topics Shir cares about

LLM Vulnerabilities
Her core M. Sc. thesis research, accepted at the NDSS 2026 conference, focuses on exploiting biases in LLMs to compromise static code analysis.
Bias in AI
Her work specifically investigates how pattern bias in language models can be manipulated, reflecting a deep interest in the limitations and flaws of AI reasoning.
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Career

Work history

9-2024
AI & Cybersecurity Researcher
CBG - Cyber@Ben Gurion University
9-2020 - 4-2022
Psychometric Instructor
Kidum
6-2019 - 8-2020
Psychometric Instructor | Research & Development
Niv Revah Ltd. ניב רווח
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Media appearances

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Education
2021 - 2025
Bachelor's degree
Ben-Gurion University of the Negev
Master's degree
Ben-Gurion University of the Negev
Social presence
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