Prabuddha Chakraborty

Orcid: 0000-0002-5102-4200

According to our database1, Prabuddha Chakraborty authored at least 30 papers between 2017 and 2024.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

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

LeMo-NADe: Multi-Parameter Neural Architecture Discovery with LLMs.
CoRR, 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

SAVIOR: A Sustainable Network of Vehicles with Near-Perpetual Mobility.
IEEE Internet Things Mag., June, 2023

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

Hardware Specification Aware Timing Side Channel Security Analysis.
Proceedings of the 36th IEEE International System-on-Chip Conference, 2023

2022
Golden-Free Hardware Trojan Detection Using Self-Referencing.
IEEE Trans. Very Large Scale Integr. Syst., 2022

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

LeGO: A Learning-Guided Obfuscation Framework for Hardware IP Protection.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

BINGO: brain-inspired learning memory.
Neural Comput. Appl., 2022

ARTS: A Framework for AI-Rooted IoT System Design Automation.
IEEE Embed. Syst. Lett., 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

Automatic Software Timing Attack Evaluation & Mitigation on Clear Hardware Assumption.
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

AI-Driven Assurance of Hardware IP against Reverse Engineering Attacks.
Proceedings of the IEEE International Test Conference, 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

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

Neural Storage: A New Paradigm of Elastic Memory.
CoRR, 2021

Trusted Electronic Systems with Untrusted COTS.
Proceedings of the 22nd International Symposium on Quality Electronic Design, 2021

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

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

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

2017
Learning to Estimate Pose by Watching Videos.
CoRR, 2017


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