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20222026
most citedAutonomous Vehicle Security: A Deep Dive into Threat Modeling

2 citations · 2 across the 5 of their papers we have counts for

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6 papers · 1 filter

cs.CR2026

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…

cs.CR2025

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…

cs.CR2025

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…

cs.CR2025

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…

cs.CR2025

Large Language Models and Attention-Based AI for Hardware Design and Security: Progress, Challenges, and Opportunities

Sujan Ghimire, Parsa Mirfasihi, Muhtasim Alam Chowdhury +9

Recent advances in attention-based artificial intelligence (AI) models have unlocked vast potential to automate digital hardware design while enhancing and strengthening security m…

cs.CR2024

Automated Hardware Logic Obfuscation Framework Using GPT

Banafsheh Saber Latibari, Sujan Ghimire, Muhtasim Alam Chowdhury +5

Obfuscation stands as a promising solution for safeguarding hardware intellectual property (IP) against a spectrum of threats including reverse engineering, IP piracy, and tamperin…