Linshan and alumni Qun and Zhenyu presented their works on SenSys'22, Boston.
Linshan’s work PriMask is selected as SenSys'22 Best Paper Candidate. Congratulations!
Qun’s paper presentation “Moving Target Defense for Embedded Deep Visual Sensing against Adversarial Examples” at SenSys, New York, Nov 2019.
The DATA: Data Acquisition to Analysis Workshop, SenSys'18, Shenzhen, Nov, 2018.
