10 citations · 11 across the 3 of their papers we have counts for
5 papers
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…
Leveraging Domain Knowledge using Machine Learning for Image Compression in Internet-of-Things
Prabuddha Chakraborty, Jonathan Cruz, Swarup Bhunia
The emergent ecosystems of intelligent edge devices in diverse Internet of Things (IoT) applications, from automatic surveillance to precision agriculture, increasingly rely on rec…
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…
P2C2: Peer-to-Peer Car Charging
Prabuddha Chakraborty, Robert C. Parker, Tamzidul Hoque +2
With the rising concerns of fossil fuel depletion and the impact of Internal Combustion Engine(ICE) vehicles on our climate, the transportation industry is observing a rapid prolif…
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…