Banafsheh S. Latibari

Orcid: 0000-0003-3735-9191

According to our database1, Banafsheh S. Latibari authored at least 31 papers between 2022 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
DDD-GenDT: Dynamic Data-Driven Generative Digital Twin Framework.
IEEE Trans. Artif. Intell., April, 2026

Stealthy Hardware Trojans in AI Accelerators: Attacks on Transformer, Convolutional Neural Network, and Systolic Architectures.
IEEE Micro, 2026

Fine-Grained Patching via Contention Balancer: A Practical Mitigation Strategy for Spectre Vulnerabilities Using SpecScope Contention Maps.
Proceedings of the 27th International Symposium on Quality Electronic Design, 2026

Is Mamba Reliable for Medical Imaging?
Proceedings of the 27th International Symposium on Quality Electronic Design, 2026

Lightweight SAR Ship Detection via Contrastive Distillation.
Proceedings of the Great Lakes Symposium on VLSI 2026, 2026

Semantic Smoothing via Novel View Synthesis for Robust SAR Image Classification.
Proceedings of the Great Lakes Symposium on VLSI 2026, 2026

2025
HWREx: AI-enabled Hardware Weakness and Risk Exploration and Storytelling Framework with LLM-assisted Mitigation Suggestion.
ACM Trans. Design Autom. Electr. Syst., November, 2025

Zero Trust-based Decentralized Identity Management System for Autonomous Vehicles.
CoRR, September, 2025

Integrating Generative AI into Cybersecurity Education: A Study of OCR and Multimodal LLM-assisted Instruction.
CoRR, September, 2025

RAG-PRISM: A Personalized, Rapid, and Immersive Skill Mastery Framework with Adaptive Retrieval-Augmented Tutoring.
CoRR, September, 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

FaRAccel: FPGA-Accelerated Defense Architecture for Efficient Bit-Flip Attack Resilience in Transformer Models.
Proceedings of the 43rd IEEE International Conference on Computer Design, 2025

Hammering the Diagnosis: Rowhammer-Induced Stealthy Trojan Attacks on ViT-Based Medical Imaging.
Proceedings of the 43rd IEEE International Conference on Computer Design, 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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