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M. Amini

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Open access Sep 2026

In-depth Analysis of Privacy Threats in Federated Learning for Medical Data.

Federated learning (FL) is emerging as a promising machine learning technique in the medical field for analyzing medical images, as it is considered an effective method to safeguard sensitive patient data and comply with privacy regulations. However, recent studies have revealed that the default settings of FL may inad...

B. Das, M. Amini, Yanzhao Wu · 0 citations
#artificial intelligence Preprint Sep 2026

SoK: Rethinking Jailbreaking in the Era of Agentic AI: Attacks, Defenses, and Practical Consideration

Large language models (LLMs) are rapidly evolving from conversational assistants into agentic AI systems that reason, plan, invoke tools, maintain persistent memory, communicate with other agents, and execute multi-step tasks. At the same time, modern models exhibit substantially stronger native safety alignment than e...

Md. Jueal Mia, Yanzhao Wu, S. Uluagac et al. · 0 citations

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