PriMask is selected as SenSys'22 Best Paper Candidate
Qun's paper presentation at SenSys'19
Qun’s paper presentation “Moving Target Defense for Embedded Deep Visual Sensing against Adversarial Examples” at SenSys, New York, Nov 2019.
Paper presentation at AIChallengeIoT'19
Paper presentation “Challenges of Privacy-Preserving Machine Learning in IoT”, the First International Workshop on Challenges in Artificial Intelligence and Machine Learning for Internet of Things (AIChallengeIoT’19), New York, Nov 2019.