Abstract: Neural network (NN) models implemented in embedded devices have been shown to be susceptible to side-channel attacks (SCAs), allowing recovery of proprietary model parameters, such as ...

Abstract: With the emergence of computing-intensive vehicular applications, limited on-board computing resources become insufficient to meet the computing requirement of many vehicular applications.

Large ML models and datasets have necessitated the use of multi-GPU systems for distributed model training. To harness the power offered by multi-GPU systems, it is critical to eliminate bottlenecks ...