4 citations · 18 across the 10 of their papers we have counts for
10 papers
Does Prompt-Tuning Language Model Ensure Privacy?
Shangyu Xie, Wei Dai, Esha Ghosh +3
Prompt-tuning has received attention as an efficient tuning method in the language domain, i.e., tuning a prompt that is a few tokens long, while keeping the large language model f…
Label Inference Attack against Split Learning under Regression Setting
Shangyu Xie, Xin Yang, Yuanshun Yao +3
As a crucial building block in vertical Federated Learning (vFL), Split Learning (SL) has demonstrated its practice in the two-party model training collaboration, where one party h…
When Fairness Meets Privacy: Fair Classification with Semi-Private Sensitive Attributes
Canyu Chen, Yueqing Liang, Xiongxiao Xu +5
Machine learning models have demonstrated promising performance in many areas. However, the concerns that they can be biased against specific demographic groups hinder their adopti…
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…
Homogeneous and Mixed Energy Communities Discovery with Spatial-Temporal Net Energy
Shangyu Xie, Han Wang, Shengbin Wang +4
Smart grid has integrated an increasing number of distributed energy resources to improve the efficiency and flexibility of power generation and consumption as well as the resilien…
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…