Author

Rami Puzis

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Preprint Sep 2026

HYDRA: Quantifying Botnet Resource Thresholds for Efficient Link-Flooding Attacks on LEO Satellite Networks

Low Earth orbit (LEO) satellite constellations, such as Starlink and Kuiper, are rapidly emerging as a critical backbone for low-latency global connectivity. As these systems expand, they become more attractive attack targets, necessitating increased resilience and security. Threat actors seek to exploit constellation-...

Roee Idan, Rami Puzis, A. Shabtai et al. · 1 citation

#artificial intelligence Jun 2025

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations

The first Fraud Investigation Assistant (FIA) framework is introduced, which employs multimodal large language models (LLMs) to automate key steps of credit card fraud investigation and generate explanatory reports and suggests that LLM-based agents can assist with automating substantial parts of the fraud investigatio...

Shaun Shuster, Eyal Zaloof, A. Shabtai et al. · arXiv.org · 5 citations · ⚡1

Aug 2026

Learning What to Fail On: Failure-Mode Contextual Bandits for Adversarial Data Curation

A failure-aware adversarial retrieval-augmented framework for improving robustness in natural language understanding that combines retrieval, automated validation, contextual-bandit failure selection, and controlled adversarial retraining, enables scalable robustness improvement without additional human annotation.

Roie Kazoom, Ofir Cohen, Rami Puzis et al. · Trans. Mach. Learn. Res. · 0 citations