Data Poisoning Vulnerabilities across Healthcare AI Architectures: A Security Threat Analysis

Healthcare AI systems face major vulnerabilities to data poisoning that current defenses and regulations cannot adequately address. We analyzed eight attack scenarios in four categories: architectural attacks on convolutional neural networks, large language models, and reinforcement learning...

Hammering the Diagnosis: Rowhammer-Induced Stealthy Trojan Attacks on ViT-Based Medical Imaging

Vision Transformers ViTs have emerged as powerful architectures in medical image analysis, excelling in tasks such as disease detection, segmentation, and classification. However, their reliance on large, attention-driven models makes them vulnerable to hardware-level attacks. In this paper, we...

NeoMind Fusion Platform 跨站脚本漏洞

NeoMind Fusion Platform is an Artificial Intelligence AI solution designed to provide intelligent diagnosis, treatment, and assisted decision support in the healthcare field. A cross-site scripting vulnerability exists in NeoMind Fusion Platform, which stems from the parameter link in the file...