4 papers
Disguising Topology and Side-Channel Information through Covert Gate- and ML-Enabled IP Camouflaging
Junling Fan, David Koblah, Domenic Forte
Semiconductor intellectual property (IP) theft incurs hundreds of billions in annual losses, driven by advanced reverse engineering (RE) techniques. Traditional ``cryptic'' IC camo…
Causal AI For AMS Circuit Design: Interpretable Parameter Effects Analysis
Mohyeu Hussain, David Koblah, Reiner Dizon-Paradis +1
Analog-mixed-signal (AMS) circuits are highly non-linear and operate on continuous real-world signals, making them far more difficult to model with data-driven AI than digital bloc…
Designing with Deception: ML- and Covert Gate-Enhanced Camouflaging to Thwart IC Reverse Engineering
Junling Fan, David Koblah, Domenic Forte
Integrated circuits (ICs) are essential to modern electronic systems, yet they face significant risks from physical reverse engineering (RE) attacks that compromise intellectual pr…
eXpLogic: Explaining Logic Types and Patterns in DiffLogic Networks
Stephen Wormald, David Koblah, Matheus Kunzler Maldaner +2
Constraining deep neural networks (DNNs) to learn individual logic types per node, as performed using the DiffLogic network architecture, opens the door to model-specific explanati…