12 papers
Semantic Smoothing via Novel View Synthesis for Robust SAR Image Classification
Daniel Brignac, Fengwei Tian, Banafsheh Latibari +2
Deep neural networks are vulnerable to adversarial perturbations, limiting deployment in safety-critical applications such as synthetic aperture radar (SAR) automatic target recogn…
Is Mamba Reliable for Medical Imaging?
Banafsheh Saber Latibari, Najmeh Nazari, Daniel Brignac +3
State-space models like Mamba offer linear-time sequence processing and low memory, making them attractive for medical imaging. However, their robustness under realistic software a…
Towards a Zero Trust Decentralized Identity Management System for Secure Autonomous Vehicles
Amal Yousseef, Shalaka Satam, Banafsheh Saber Latibari +3
Autonomous vehicles (AVs) rely on pervasive connectivity to enable cooperative and safety-critical applications, but this connectivity also exposes them to a wide range of cybersec…
FaRAccel: FPGA-Accelerated Defense Architecture for Efficient Bit-Flip Attack Resilience in Transformer Models
Najmeh Nazari, Banafsheh Saber Latibari, Elahe Hosseini +8
Forget and Rewire (FaR) methodology has demonstrated strong resilience against Bit-Flip Attacks (BFAs) on Transformer-based models by obfuscating critical parameters through dynami…
Hammering the Diagnosis: Rowhammer-Induced Stealthy Trojan Attacks on ViT-Based Medical Imaging
Banafsheh Saber Latibari, Najmeh Nazari, Hossein Sayadi +2
Vision Transformers (ViTs) have emerged as powerful architectures in medical image analysis, excelling in tasks such as disease detection, segmentation, and classification. However…
Integrating Generative AI into Cybersecurity Education: A Study of OCR and Multimodal LLM-assisted Instruction
Karan Patel, Yu-Zheng Lin, Gaurangi Raul +6
This full paper describes an LLM-assisted instruction integrated with a virtual cybersecurity lab platform. The digital transformation of Fourth Industrial Revolution (4IR) systems…