3 citations · 6 across the 14 of their papers we have counts for
15 papers
From Prompts to Silicon: Scaling LLM-Assisted Chip Design with the AI Hardware Design League
Parsa Mirfasihi, Harish Kumar Dharavath, Muhtasim Alam Chowdhury +5
The semiconductor workforce shortage has renewed interest in making chip design accessible to students without conventional very-large-scale integration (VLSI) training. We present…
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…
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…
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…
RAG-PRISM: A Personalized, Rapid, and Immersive Skill Mastery Framework with Adaptive Retrieval-Augmented Tutoring
Gaurangi Raul, Yu-Zheng Lin, Karan Patel +6
The rapid digital transformation of Fourth Industrial Revolution (4IR) systems is reshaping workforce needs, widening skill gaps, especially for older workers. With growing emphasi…
Reliability of Capacitive Read in Arrays of Ferroelectric Capacitors
Luca Fehlings, Muhtasim Alam Chowdhury, Banafsheh Saber Latibari +2
The non-destructive capacitance read-out of ferroelectric capacitors (FeCaps) based on doped HfO metal-ferroelectric-metal (MFM) structures offers the potential for low-power a…
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…
DDD-GenDT: Dynamic Data-driven Generative Digital Twin Framework
Yu-Zheng Lin, Qinxuan Shi, Zhanglong Yang +5
Digital twin (DT) technology enables real-time simulation, prediction, and optimization of physical systems, but practical deployment faces challenges from high data requirements,…
Autonomous Vehicle Security: A Deep Dive into Threat Modeling
Amal Yousseef, Shalaka Satam, Banafsheh Saber Latibari +4
Autonomous vehicles (AVs) are poised to revolutionize modern transportation, offering enhanced safety, efficiency, and convenience. However, the increasing complexity and connectiv…
PRISM: A Personalized, Rapid, and Immersive Skill Mastery framework for personalizing experiential learning through Generative AI
Yu-Zheng Lin, Karan Patel, Ahmed Hussain J Alhamadah +7
The rise of generative AI (gen-AI) is transforming industries, particularly in education and workforce training. This chapter introduces PRISM (Personalized, Rapid, and Immersive S…
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…
Adaptive-Gravity: A Defense Against Adversarial Samples
Ali Mirzaeian, Zhi Tian, Sai Manoj P D +4
This paper presents a novel model training solution, denoted as Adaptive-Gravity, for enhancing the robustness of deep neural network classifiers against adversarial examples. We c…