Keeping the Bad Guys Out: Protecting and Vaccinating Deep Learning with JPEG Compression

8 May 2017Nilaksh DasMadhuri ShanbhogueShang-Tse ChenFred HohmanLi ChenMichael E. KounavisDuen Horng Chau

Deep neural networks (DNNs) have achieved great success in solving a variety of machine learning (ML) problems, especially in the domain of image recognition. However, recent research showed that DNNs can be highly vulnerable to adversarially generated instances, which look seemingly normal to human observers, but completely confuse DNNs... (read more)

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