­Recently, Deep Neural Networks (DNNs) have been deployed in many safety-critical applications. The security of DNN models can be compromised by adversarial input examples, where the adversary maliciously crafts and adds input noise to fool a DNN model. The perturbation of model parameters (e.g., weight) is another security concern, one that relates...

Traditional Boolean computing methods are reaching their physical limits. Neuromorphic computing—a system engineered to mimic neuro-biological architectures present in the nervous system—has gained great attention as an alternative. Large scale neural networks consist of a massive number of synapses that connect between groups of neurons....

Static random access memory (SRAM) is used extensively in modern integrated circuits, comprising over 90% of the transistor count in server microprocessors. Over the past couple decades, technology has aggressively scaled down integrated circuit components, quickly entering the nanoscale. At this scale of manufacturing, there is inevitably an increase...