Jonathan Cruz

Orcid: 0000-0002-7404-9259

Affiliations:
  • University of Florida, Gainesville, FL, USA


According to our database1, Jonathan Cruz authored at least 24 papers between 2018 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Learning Your Lock: Exploiting Structural Vulnerabilities in Logic Locking.
IEEE Des. Test, 2024

2023
A Framework for Automated Exploration of Trojan Attack Space in FPGA Netlists.
IEEE Trans. Computers, October, 2023

Hardware IP Assurance against Trojan Attacks with Machine Learning and Post-processing.
ACM J. Emerg. Technol. Comput. Syst., July, 2023

An Automated Framework for Board-Level Trojan Benchmarking.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., February, 2023

TVF: A Metric for Quantifying Vulnerability Against Hardware Trojan Attacks.
IEEE Trans. Very Large Scale Integr. Syst., 2023

2022
Trojan Resilient Computing in COTS Processors Under Zero Trust.
IEEE Trans. Very Large Scale Integr. Syst., 2022

HASTE: Software Security Analysis for Timing Attacks on Clear Hardware Assumption.
IEEE Embed. Syst. Lett., 2022

Automatic Hardware Trojan Insertion using Machine Learning.
CoRR, 2022

VIPR-PCB: a machine learning based golden-free PCB assurance framework.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

A Machine Learning Based Automatic Hardware Trojan Attack Space Exploration and Benchmarking Framework.
Proceedings of the Asian Hardware Oriented Security and Trust Symposium, 2022

Analysis of Hardware Trojan Resilience Enabled through Logic Locking.
Proceedings of the Asian Hardware Oriented Security and Trust Symposium, 2022

2021
SAIL: Analyzing Structural Artifacts of Logic Locking Using Machine Learning.
IEEE Trans. Inf. Forensics Secur., 2021

MAGIC: Machine-Learning-Guided Image Compression for Vision Applications in Internet of Things.
IEEE Internet Things J., 2021

Software Variants for Hardware Trojan Detection and Resilience in COTS Processors.
CoRR, 2021

Third-Party Hardware IP Assurance against Trojans through Supervised Learning and Post-processing.
CoRR, 2021

2020
Leveraging Domain Knowledge using Machine Learning for Image Compression in Internet-of-Things.
CoRR, 2020

An Automated Framework for Board-level Trojan Benchmarking.
CoRR, 2020

P2C2: Peer-to-Peer Car Charging.
Proceedings of the 91st IEEE Vehicular Technology Conference, 2020

2019
SURF: Joint Structural Functional Attack on Logic Locking.
Proceedings of the IEEE International Symposium on Hardware Oriented Security and Trust, 2019

The Metric Matters: The Art of Measuring Trust in Electronics.
Proceedings of the 56th Annual Design Automation Conference 2019, 2019

2018
Hardware Trojan Detection Using ATPG and Model Checking.
Proceedings of the 31st International Conference on VLSI Design and 17th International Conference on Embedded Systems, 2018

Hardware IP Trust Validation: Learn (the Untrustworthy), and Verify.
Proceedings of the IEEE International Test Conference, 2018

An automated configurable Trojan insertion framework for dynamic trust benchmarks.
Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018

SAIL: Machine Learning Guided Structural Analysis Attack on Hardware Obfuscation.
Proceedings of the Asian Hardware Oriented Security and Trust Symposium, 2018


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