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09/01/2021
Guarding Machine Learning Hardware Against Physical Side-Channel Attacks
Machine learning (ML) models can be trade secrets due to their developme...
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08/10/2020
Trustworthy AI Inference Systems: An Industry Research View
In this work, we provide an industry research view for approaching the d...
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06/16/2020
BoMaNet: Boolean Masking of an Entire Neural Network
Recent work on stealing machine learning (ML) models from inference engi...
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05/26/2020
Efficacy of Satisfiability Based Attacks in the Presence of Circuit Reverse Engineering Errors
Intellectual Property (IP) theft is a serious concern for the integrated...
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05/26/2020
SeqL: Secure Scan-Locking for IP Protection
Existing logic-locking attacks are known to successfully decrypt functio...
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10/29/2019
MaskedNet: A Pathway for Secure Inference against Power Side-Channel Attacks
Differential Power Analysis (DPA) has been an active area of research fo...
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10/29/2019