10 citations · 17 across the 7 of their papers we have counts for
5 papers · 1 filter
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…
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…
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…
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…
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…