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PowerGAN: A Machine Learning Approach for Power Side-Channel Attack on Compute-in-Memory Accelerators
Analog compute-in-memory (CIM) systems are promising for deep neural network (DNN) inference acceleration due to their energy efficiency and high throughput.
RN-Net: Reservoir Nodes-Enabled Neuromorphic Vision Sensing Network
Event-based cameras are inspired by the sparse and asynchronous spike representation of the biological visual system.
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