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My Ph.D. thesis focuses on the Security and Performance of Deep Learning. It is mainly about identifying vulnerabilities and novel attacks caused by the non-transparent nature of Deep Learning models. My work tries to identify most critical threats and design defenses to secure DL systems.
My general research interest is Security and Privacy. Apart from Deep Learning systems, my work also covers Mobile applications, Online Social Networks (OSNs), and Crowdsourcing systems. I am particularly interested in measurement and data-driven analysis of such systems. My goal is to further understand Internet systems, identify security issues, and provide practical solutions.
My general research interest is Security and Privacy. Apart from Deep Learning systems, my work also covers Mobile applications, Online Social Networks (OSNs), and Crowdsourcing systems. I am particularly interested in measurement and data-driven analysis of such systems. My goal is to further understand Internet systems, identify security issues, and provide practical solutions.
研究兴趣
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ACSAC '20: Proceedings of the 36th Annual Computer Security Applications Conferencepp.913-927, (2020)
CCS '20: PROCEEDINGS OF THE 2020 ACM SIGSAC CONFERENCE ON COMPUTER AND COMMUNICATIONS SECURITY (2020): 67-83
arxiv(2019)
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