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05/03/2023
AutoLock: Automatic Design of Logic Locking with Evolutionary Computation
Logic locking protects the integrity of hardware designs throughout the ...
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04/05/2023
FPGA-Patch: Mitigating Remote Side-Channel Attacks on FPGAs using Dynamic Patch Generation
We propose FPGA-Patch, the first-of-its-kind defense that leverages auto...
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03/29/2023
Graph Neural Networks for Hardware Vulnerability Analysis – Can you Trust your GNN?
The participation of third-party entities in the globalized semiconducto...
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03/24/2023
PoisonedGNN: Backdoor Attack on Graph Neural Networks-based Hardware Security Systems
Graph neural networks (GNNs) have shown great success in detecting intel...
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03/12/2023
DNN-Alias: Deep Neural Network Protection Against Side-Channel Attacks via Layer Balancing
Extracting the architecture of layers of a given deep neural network (DN...
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03/06/2023
ALMOST: Adversarial Learning to Mitigate Oracle-less ML Attacks via Synthesis Tuning
Oracle-less machine learning (ML) attacks have broken various logic lock...
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01/27/2023
TrojanSAINT: Gate-Level Netlist Sampling-Based Inductive Learning for Hardware Trojan Detection
We propose TrojanSAINT, a graph neural network (GNN)-based hardware Troj...
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11/29/2022
Graph Neural Networks: A Powerful and Versatile Tool for Advancing Design, Reliability, and Security of ICs
Graph neural networks (GNNs) have pushed the state-of-the-art (SOTA) for...
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11/15/2022
Security Closure of IC Layouts Against Hardware Trojans
Due to cost benefits, supply chains of integrated circuits (ICs) are lar...
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08/23/2022
AppGNN: Approximation-Aware Functional Reverse Engineering using Graph Neural Networks
The globalization of the Integrated Circuit (IC) market is attracting an...
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08/17/2022
Embracing Graph Neural Networks for Hardware Security (Invited Paper)
Graph neural networks (GNNs) have attracted increasing attention due to ...
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08/04/2022
GNN4REL: Graph Neural Networks for Predicting Circuit Reliability Degradation
Process variations and device aging impose profound challenges for circu...
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06/01/2022
NeuroUnlock: Unlocking the Architecture of Obfuscated Deep Neural Networks
The advancements of deep neural networks (DNNs) have led to their deploy...
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12/14/2021
MuxLink: Circumventing Learning-Resilient MUX-Locking Using Graph Neural Network-based Link Prediction
Logic locking has received considerable interest as a prominent techniqu...
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11/13/2021
UNTANGLE: Unlocking Routing and Logic Obfuscation Using Graph Neural Networks-based Link Prediction
Logic locking aims to prevent intellectual property (IP) piracy and unau...
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12/29/2020
UNSAIL: Thwarting Oracle-Less Machine Learning Attacks on Logic Locking
Logic locking aims to protect the intellectual property (IP) of integrat...
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12/10/2020
GNNUnlock: Graph Neural Networks-based Oracle-less Unlocking Scheme for Provably Secure Logic Locking
In this paper, we propose GNNUnlock, the first-of-its-kind oracle-less m...
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09/10/2019
