mithrilAI Won NC IDEA MICRO Grant
mithrilAI Corp. is thrilled to announce that we have been selected as a recipient of the prestigious NC IDEA MICRO grant. This...
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mithrilAI Won North Carolina's Phase I SBIR Matching Grant
mithrilAI Corp. is proud to announce its selection to receive a Phase I SBIR/STTR matching grant under the FY 2023-2024 solicitation of...
mithrilAI Recognized with NSF’s SBIR Phase I Award
MithrilAI Corp. is honored to be recognized with the National Science Foundation's Small Business Innovation Research (SBIR) Phase I Award..
mithrilAI Corp. Selected as Runner-Up for the 2024 VenturePack Challenge
In the recent 2024 VenturePack Challenge, mithrilAI Corp. excels as the 2nd place winner, receiving a prestigious award for their...
A Full-Stack Approach for Side-Channel Secure ML Hardware
Machine learning (ML) has recently emerged as an application with confidentiality needs. A trained ML model is indeed a high-value...
MaskedNet: The First Hardware Inference Engine Aiming Power Side-Channel Protection
Differential Power Analysis (DPA) has been an active area of research for the past two decades to study the attacks for extracting...
ModuloNET: Neural Networks Meet Modular Arithmetic for Efficient Hardware Masking
Intellectual Property (IP) thefts of trained machine learning (ML) models through side-channel attacks on inference engines are becoming...
Guarding Machine Learning Hardware Against Physical Side-channel Attacks
Machine learning (ML) models can be trade secrets due to their development cost. Hence, they need protection against malicious forms of...
BoMaNet: Boolean Masking of an Entire Neural Network
Recent work on stealing machine learning (ML) models from inference engines with physical side-channel attacks warrant an urgent need for...
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