activity
20192026
most citedDetecting drug-drug interactions using artificial neural networks and classic graph similarity measures

105 citations · 131 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2026

SALLIE: Generation-Free Hidden-State Detection of Jailbreaks and Prompt Injections Across Text and Vision

Guy Azov, Ofer Rivlin, Guy Shtar

Large Language Models (LLMs) and Vision-Language Models (VLMs) are vulnerable to jailbreaks and prompt injections delivered through text or images. Existing defenses often narrow t…

cs.CR2025

ASTRA: Agentic Steerability and Risk Assessment Framework

Itay Hazan, Yael Mathov, Guy Shtar +2

Securing AI agents powered by Large Language Models (LLMs) represents one of the most critical challenges in AI security today. Unlike traditional software, AI agents leverage LLMs…

cs.LG2023

AMFPMC -- An improved method of detecting multiple types of drug-drug interactions using only known drug-drug interactions

Bar Vered, Guy Shtar, Lior Rokach +1

Adverse drug interactions are largely preventable causes of medical accidents, which frequently result in physician and emergency room encounters. The detection of drug interaction…

eess.SP2019★ 26 cited

Clustering Wi-Fi Fingerprints for Indoor-Outdoor Detection

Guy Shtar, Bracha Shapira, Lior Rokach

This paper presents a method for continuous indoor-outdoor environment detection on mobile devices based solely on WiFi fingerprints. Detection of indoor outdoor switching is an im…

cs.LG2019★ 105 cited

Detecting drug-drug interactions using artificial neural networks and classic graph similarity measures

Guy Shtar, Lior Rokach, Bracha Shapira

Drug-drug interactions are preventable causes of medical injuries and often result in doctor and emergency room visits. Computational techniques can be used to predict potential dr…