4 citations · 8 across the 5 of their papers we have counts for
6 papers
Universal 3-Dimensional Perturbations for Black-Box Attacks on Video Recognition Systems
Shangyu Xie, Han Wang, Yu Kong +1
Widely deployed deep neural network (DNN) models have been proven to be vulnerable to adversarial perturbations in many applications (e.g., image, audio and text classifications).…
Privacy-preserving Cloud-based DNN Inference
Shangyu Xie, Bingyu Liu, Yuan Hong
Deep learning as a service (DLaaS) has been intensively studied to facilitate the wider deployment of the emerging deep learning applications. However, DLaaS may compromise the pri…
RDP: A Universal and Automated Approach to Optimizing the Randomization Mechanisms of Differential Privacy for Utility Metrics with No Known Optimal Distributions
Meisam Mohammady, Shangyu Xie, Yuan Hong +4
Differential privacy (DP) has emerged as a de facto standard privacy notion for a wide range of applications. Since the meaning of data utility in different applications may vastly…
Privacy Preserving Distributed Energy Trading
Shangyu Xie, Han Wang, Yuan Hong +1
The smart grid incentivizes distributed agents with local generation (e.g., smart homes, and microgrids) to establish multi-agent systems for enhanced reliability and energy consum…
VideoDP: A Universal Platform for Video Analytics with Differential Privacy
Han Wang, Shangyu Xie, Yuan Hong
Massive amounts of video data are ubiquitously generated in personal devices and dedicated video recording facilities. Analyzing such data would be extremely beneficial in real wor…
Privacy Preserving and Collusion Resistant Energy Sharing
Yuan Hong, Han Wang, Shangyu Xie +1
Energy has been increasingly generated or collected by different entities on the power grid (e.g., universities, hospitals and householdes) via solar panels, wind turbines or local…