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20172026
most citedAutomatic Hardware Trojan Insertion using Machine Learning

10 citations · 18 across the 14 of their papers we have counts for

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Showing cs.CRShow all

8 papers · 1 filter

cs.CR2025

POLARIS: Explainable Artificial Intelligence for Mitigating Power Side-Channel Leakage

Tanzim Mahfuz, Sudipta Paria, Tasneem Suha +2

Microelectronic systems are widely used in many sensitive applications (e.g., manufacturing, energy, defense). These systems increasingly handle sensitive data (e.g., encryption ke…

cs.CR2025★ 1 cited

SALTY: Explainable Artificial Intelligence Guided Structural Analysis for Hardware Trojan Detection

Tanzim Mahfuz, Pravin Gaikwad, Tasneem Suha +2

Hardware Trojans are malicious modifications in digital designs that can be inserted by untrusted supply chain entities. Hardware Trojans can give rise to diverse attack vectors su…

cs.CR2024

X-DFS: Explainable Artificial Intelligence Guided Design-for-Security Solution Space Exploration

Tanzim Mahfuz, Swarup Bhunia, Prabuddha Chakraborty

Design and manufacturing of integrated circuits predominantly use a globally distributed semiconductor supply chain involving diverse entities. The modern semiconductor supply chai…

cs.CR2022★ 10 cited

Automatic Hardware Trojan Insertion using Machine Learning

Jonathan Cruz, Pravin Gaikwad, Abhishek Nair +2

Due to the current horizontal business model that promotes increasing reliance on untrusted third-party Intellectual Properties (IPs), CAD tools, and design facilities, hardware Tr…

cs.CR2021

Software Variants for Hardware Trojan Detection and Resilience in COTS Processors

Mahmudul Hasan, Jonathan Cruz, Prabuddha Chakraborty +2

The commercial off-the-shelf (COTS) component based ecosystem provides an attractive system design paradigm due to the drastic reduction in development time and cost compared to cu…

cs.CR2021

Third-Party Hardware IP Assurance against Trojans through Supervised Learning and Post-processing

Pravin Gaikwad, Jonathan Cruz, Prabuddha Chakraborty +2

System-on-chip (SoC) developers increasingly rely on pre-verified hardware intellectual property (IP) blocks acquired from untrusted third-party vendors. These IPs might contain hi…

cs.CR2020★ 4 cited

An Automated Framework for Board-level Trojan Benchmarking

Tamzidul Hoque, Shuo Yang, Aritra Bhattacharyay +2

Economic and operational advantages have led the supply chain of printed circuit boards (PCBs) to incorporate various untrusted entities. Any of the untrusted entities are capable…

cs.CR2018★ 2 cited

SAIL: Machine Learning Guided Structural Analysis Attack on Hardware Obfuscation

Prabuddha Chakraborty, Jonathan Cruz, Swarup Bhunia

Obfuscation is a technique for protecting hardware intellectual property (IP) blocks against reverse engineering, piracy, and malicious modifications. Current obfuscation efforts m…