research
∙
04/26/2022
MemFHE: End-to-End Computing with Fully Homomorphic Encryption in Memory
The increasing amount of data and the growing complexity of problems has...
share
research
∙
09/01/2021
Guarding Machine Learning Hardware Against Physical Side-Channel Attacks
Machine learning (ML) models can be trade secrets due to their developme...
research
∙
08/10/2020
Trustworthy AI Inference Systems: An Industry Research View
In this work, we provide an industry research view for approaching the d...
research
∙
06/16/2020
BoMaNet: Boolean Masking of an Entire Neural Network
Recent work on stealing machine learning (ML) models from inference engi...
research
∙
04/15/2020
Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims
With the recent wave of progress in artificial intelligence (AI) has com...
research
∙
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...
research
∙
10/29/2019
MaskedNet: The First Hardware Inference Engine Aiming Power Side-Channel Protection
Differential Power Analysis (DPA) has been an active area of research fo...
research
∙
08/12/2019
