Learning to Estimate Pose by Watching Videos. - Prabuddha Chakraborty; Vinay P. Namboodiri (CoRR, 2017)

SAIL: Machine Learning Guided Structural Analysis Attack on Hardware Obfuscation. - Prabuddha Chakraborty; Jonathan Cruz 001; Swarup Bhunia (AsianHOST, 2018)

Hardware IP Trust Validation: Learn (the Untrustworthy), and Verify. - Tamzidul Hoque; Jonathan Cruz 001; Prabuddha Chakraborty; Swarup Bhunia (ITC, 2018)

SURF: Joint Structural Functional Attack on Logic Locking. - Prabuddha Chakraborty; Jonathan Cruz 001; Swarup Bhunia (HOST, 2019)

P2C2: Peer-to-Peer Car Charging. - Prabuddha Chakraborty; Robert Parker; Tamzidul Hoque; Jonathan Cruz 001; Swarup Bhunia (VTC Spring, 2020)

Leveraging Domain Knowledge using Machine Learning for Image Compression in Internet-of-Things. - Prabuddha Chakraborty; Jonathan Cruz 001; Swarup Bhunia (CoRR, 2020)

Trusted Electronic Systems with Untrusted COTS. - Shuo Yang; Prabuddha Chakraborty; Patanjali SLPSK; Swarup Bhunia (ISQED, 2021)

Neural Storage: A New Paradigm of Elastic Memory. - Prabuddha Chakraborty; Swarup Bhunia (CoRR, 2021)

Third-Party Hardware IP Assurance against Trojans through Supervised Learning and Post-processing. - Pravin Gaikwad; Jonathan Cruz 001; Prabuddha Chakraborty; Swarup Bhunia; Tamzidul Hoque (CoRR, 2021)

Software Variants for Hardware Trojan Detection and Resilience in COTS Processors. - Mahmudul Hasan 012; Jonathan Cruz 001; Prabuddha Chakraborty; Swarup Bhunia; Tamzidul Hoque (CoRR, 2021)

MAGIC: Machine-Learning-Guided Image Compression for Vision Applications in Internet of Things. - Prabuddha Chakraborty; Jonathan Cruz 001; Swarup Bhunia (IEEE Internet Things J., 2021)

SAIL: Analyzing Structural Artifacts of Logic Locking Using Machine Learning. - Prabuddha Chakraborty; Jonathan Cruz 001; Abdulrahman Alaql; Swarup Bhunia (IEEE Trans. Inf. Forensics Secur., 2021)

A Machine Learning Based Automatic Hardware Trojan Attack Space Exploration and Benchmarking Framework. - Jonathan Cruz 001; Pravin Gaikwad; Abhishek Anil Nair; Prabuddha Chakraborty; Swarup Bhunia (AsianHOST, 2022)

VIPR-PCB: a machine learning based golden-free PCB assurance framework. - Aritra Bhattacharyay; Prabuddha Chakraborty; Jonathan Cruz 001; Swarup Bhunia (DAC, 2022)

AI-Driven Assurance of Hardware IP against Reverse Engineering Attacks. - Prabuddha Chakraborty; Swarup Bhunia (ITC, 2022)

Automatic Software Timing Attack Evaluation & Mitigation on Clear Hardware Assumption. - Prabuddha Chakraborty (ASE, 2022)

Automatic Hardware Trojan Insertion using Machine Learning. - Jonathan Cruz 001; Pravin Gaikwad; Abhishek Nair; Prabuddha Chakraborty; Swarup Bhunia (CoRR, 2022)

HASTE: Software Security Analysis for Timing Attacks on Clear Hardware Assumption. - Prabuddha Chakraborty; Jonathan Cruz 001; Christopher Posada; Sandip Ray; Swarup Bhunia (IEEE Embed. Syst. Lett., 2022)

ARTS: A Framework for AI-Rooted IoT System Design Automation. - Prabuddha Chakraborty; Reiner N. Dizon-Paradis; Swarup Bhunia (IEEE Embed. Syst. Lett., 2022)

BINGO: brain-inspired learning memory. - Prabuddha Chakraborty; Swarup Bhunia (Neural Comput. Appl., 2022)

LeGO: A Learning-Guided Obfuscation Framework for Hardware IP Protection. - Abdulrahman Alaql; Saranyu Chattopadhyay; Prabuddha Chakraborty; Tamzidul Hoque; Swarup Bhunia (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

Trojan Resilient Computing in COTS Processors Under Zero Trust. - Mahmudul Hasan 012; Jonathan Cruz 001; Prabuddha Chakraborty; Swarup Bhunia; Tamzidul Hoque (IEEE Trans. Very Large Scale Integr. Syst., 2022)

Golden-Free Hardware Trojan Detection Using Self-Referencing. - Shuo Yang; Tamzidul Hoque; Prabuddha Chakraborty; Swarup Bhunia (IEEE Trans. Very Large Scale Integr. Syst., 2022)

Hardware Specification Aware Timing Side Channel Security Analysis. - Prabuddha Chakraborty; Tasneem Suha; Swarup Bhunia (SOCC, 2023)

An Automated Framework for Board-Level Trojan Benchmarking. - Aritra Bhattacharyay; Shuo Yang; Jonathan Cruz 001; Prabuddha Chakraborty; Swarup Bhunia; Tamzidul Hoque (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

SAVIOR: A Sustainable Network of Vehicles with Near-Perpetual Mobility. - Prabuddha Chakraborty; Reiner N. Dizon-Paradis; Swarup Bhunia (IEEE Internet Things Mag., 2023)

Hardware IP Assurance against Trojan Attacks with Machine Learning and Post-processing. - Pravin Gaikwad; Jonathan Cruz 001; Prabuddha Chakraborty; Swarup Bhunia; Tamzidul Hoque (ACM J. Emerg. Technol. Comput. Syst., 2023)

A Framework for Automated Exploration of Trojan Attack Space in FPGA Netlists. - Jonathan Cruz 001; Christopher Posada; Naren Vikram Raj Masna; Prabuddha Chakraborty; Pravin Gaikwad; Swarup Bhunia (IEEE Trans. Computers, 2023)

An Intelligent Memory Framework for Resource Constrained IoT Systems. - Prabuddha Chakraborty; Swarup Bhunia (ISVLSI, 2024)

Splitting the Secrets: A Cooperative Trust Model for System-on-Chip Designs with Untrusted IPs. - Aritra Dasgupta 002; Sudipta Paria; Prabuddha Chakraborty; Swarup Bhunia (ISVLSI, 2024)

LeMo-NADe: Multi-Parameter Neural Architecture Discovery with LLMs. - Md Hafizur Rahman; Prabuddha Chakraborty (CoRR, 2024)

ILASH: A Predictive Neural Architecture Search Framework for Multi-Task Applications. - Md Hafizur Rahman; Md. Mashfiq Rizvee; Sumaiya Shomaji; Prabuddha Chakraborty (CoRR, 2024)

Learning Your Lock: Exploiting Structural Vulnerabilities in Logic Locking. - Prabuddha Chakraborty; Jonathan Cruz 001; Rasheed Almawzan; Tanzim Mahfuz; Swarup Bhunia (IEEE Des. Test, 2024)

A Self-Aware Digital Memory Framework Powered by Artificial Intelligence. - Prabuddha Chakraborty; Swarup Bhunia (IEEE Trans. Artif. Intell., 2024)

Pasteables: A Flexible and Smart "Stick-and-Peel" Wearable Platform for Fitness and Athletics. - Reiner N. Dizon-Paradis; Rohan Reddy Kalavakonda; Prabuddha Chakraborty; Swarup Bhunia (IEEE Consumer Electron. Mag., 2024)

DINGO - A Distributed & Intelligent Graph Based Memory for IoT. - Sarah Glatter; Prabuddha Chakraborty (ACM Great Lakes Symposium on VLSI, 2025)

CAST-Map: Cybersecurity Assessment Using Spatio-Temporal Mapping of Connected Electronics. - Nicholas Millett; Katherine Arsenault; Nick Tozier; Benjamin Bailey; Gregory Studer; Prabuddha Chakraborty (ICCE, 2025)

SALTY: Explainable Artificial Intelligence Guided Structural Analysis for Hardware Trojan Detection. - Tanzim Mahfuz; Pravin Gaikwad; Tasneem Suha; Swarup Bhunia; Prabuddha Chakraborty (VTS, 2025)

Intelligent Layer Sharing (ILASH): A Predictive Neural Architecture Search Framework for Multi-Task Applications. - Md Hafizur Rahman; Zafaryab Haider; Md. Mashfiq Rizvee; Sumaiya Shomaji; Prabuddha Chakraborty (IEEE Access, 2025)

TRIM: AI Guided Random Number Generation for Resource-Constrained IoT Systems. - Tasneem Suha; Md Hafizur Rahman; Ashley E. Rice; Colin Smith; Rima Asmar Awad; Prabuddha Chakraborty (IEEE Access, 2025)

X-DFS: Explainable Artificial Intelligence Guided Design-for-Security Solution Space Exploration. - Tanzim Mahfuz; Swarup Bhunia; Prabuddha Chakraborty (IEEE Trans. Inf. Forensics Secur., 2025)

POLARIS: Explainable Artificial Intelligence for Mitigating Power Side-Channel Leakage. - Tanzim Mahfuz; Sudipta Paria; Tasneem Suha; Swarup Bhunia; Prabuddha Chakraborty (CoRR, 2025)