To compress or not to compress: Understanding the Interactions between Adversarial Attacks and Neural Network Compression

As deep neural networks (DNNs) become widely used, pruned and quantised models are becoming ubiquitous on edge devices; such compressed DNNs are popular for lowering computational requirements. Meanwhile, recent studies show that adversarial samples can be effective at making DNNs misclassify... (read more)

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