Banafsheh S. Latibari

Orcid: 0000-0003-3735-9191

According to our database1, Banafsheh S. Latibari authored at least 19 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Hardware Design and Security Needs Attention: From Survey to Path Forward.
CoRR, April, 2025

DDD-GenDT: Dynamic Data-driven Generative Digital Twin Framework.
CoRR, January, 2025

Optimizing Vision Transformers: Unveiling 'Focus and Forget' for Enhanced Computational Efficiency.
IEEE Access, 2025

Reliability of Capacitive Read in Arrays of Ferroelectric Capacitors.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2025

Transformers for Secure Hardware Systems: Applications, Challenges, and Outlook.
Proceedings of the Great Lakes Symposium on VLSI 2025, GLSVLSI 2025, New Orleans, LA, USA, 30 June 2025, 2025

2024
Cross-core Data Sharing for Energy-efficient GPUs.
ACM Trans. Archit. Code Optim., September, 2024

Optimized and Automated Secure IC Design Flow: A Defense-in-Depth Approach.
IEEE Trans. Circuits Syst. I Regul. Pap., May, 2024

A Study Of Small Evolution of Vision Transformers For Low Power Devices
PhD thesis, 2024

Autonomous Vehicle Security: A Deep Dive into Threat Modeling.
CoRR, 2024

Transforming Engineering Education Using Generative AI and Digital Twin Technologies.
CoRR, 2024

Automated Hardware Logic Obfuscation Framework Using GPT.
CoRR, 2024

Transformers: A Security Perspective.
IEEE Access, 2024

Securing On-Chip Learning: Navigating Vulnerabilities and Potential Safeguards in Spiking Neural Network Architectures.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

IRET: Incremental Resolution Enhancing Transformer.
Proceedings of the Great Lakes Symposium on VLSI 2024, 2024

2023
Hardware Trojan Detection Using Machine Learning: A Tutorial.
ACM Trans. Embed. Comput. Syst., 2023

HW-V2W-Map: Hardware Vulnerability to Weakness Mapping Framework for Root Cause Analysis with GPT-assisted Mitigation Suggestion.
CoRR, 2023

Advanced Reinforcement Learning Solution for Clock Skew Engineering: Modified Q-Table Update Technique for Peak Current and IR Drop Minimization.
IEEE Access, 2023

2022
Adaptive-Gravity: A Defense Against Adversarial Samples.
Proceedings of the 23rd International Symposium on Quality Electronic Design, 2022

RAPTA: A Hierarchical Representation Learning Solution For Real-Time Prediction of Path-Based Static Timing Analysis.
Proceedings of the GLSVLSI '22: Great Lakes Symposium on VLSI 2022, Irvine CA USA, June 6, 2022


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