Machine Learning

Binary Neural Network for Improved Accuracy and Defense Against Bit-Flip Attacks

Memory Efficient, Multi-Domain On-Device Machine Learning

Systems and Algorithms for Few-Shot Node Classification on Graphs

Multi-fidelity Data Aggregation using Convolutional Neural Networks

Full-stack Obfuscation Tool to Mitigate Neural Architecture Stealing

Weight-Agnostic Federated Neural Architecture Search

Masked-Based Learning Method for Neural Network Multiple Task Adaption

Learning Sparse Features for Self-Supervised Learning with Contrastive Dual Gating

Temperature-Resilient RRAM-Based In-Memory Computing for DNN Inference

Cyber-Physical Interaction Aware Test Case Generation to Identify Operational Changes