Shengzhi Zhang

Shengzhi Zhang, MET associate professor of computer science, is a scholar whose work falls at the intersection of cybersecurity and artificial intelligence, with particular expertise in issues affecting Internet of Things devices, automobiles, and mobile and operating systems. His recent work has helped advance understanding of adversarial attacks against automatic speech recognition (ASR) systems, exposing the threats that exist to commercially available ASR devices like Google Home and Amazon’s Alexa and identifying ways to mitigate those threats. Zhang’s research has been funded by Cisco and the National Centers of Academic Excellence in Cybersecurity. He has published two book chapters and dozens of articles and refereed papers in prominent cybersecurity conferences, including IEEE Symposium on Security and Privacy, Association for Computing Machinery Conference on Computer and Communications Security, and USENIX Security. 

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