2 citations · 5 across the 8 of their papers we have counts for
8 papers
DeepCore: Simple Fingerprint Construction for Differentiating Homologous and Piracy Models
Haifeng Sun, Lan Zhang, Xiang-Yang Li
As intellectual property rights, the copyright protection of deep models is becoming increasingly important. Existing work has made many attempts at model watermarking and fingerpr…
Secure Transformer Inference Protocol
Mu Yuan, Lan Zhang, Xiang-Yang Li
Security of model parameters and user data is critical for Transformer-based services, such as ChatGPT. While recent strides in secure two-party protocols have successfully address…
Tight Memory-Regret Lower Bounds for Streaming Bandits
Shaoang Li, Lan Zhang, Junhao Wang +1
In this paper, we investigate the streaming bandits problem, wherein the learner aims to minimize regret by dealing with online arriving arms and sublinear arm memory. We establish…
TPMDP: Threshold Personalized Multi-party Differential Privacy via Optimal Gaussian Mechanism
Jiandong Liu, Lan Zhang, Chaojie Lv +3
In modern distributed computing applications, such as federated learning and AIoT systems, protecting privacy is crucial to prevent adversarial parties from colluding to steal othe…
Data Origin Inference in Machine Learning
Mingxue Xu, Xiang-Yang Li
It is a growing direction to utilize unintended memorization in ML models to benefit real-world applications, with recent efforts like user auditing, dataset ownership inference an…
MLink: Linking Black-Box Models from Multiple Domains for Collaborative Inference
Mu Yuan, Lan Zhang, Zimu Zheng +2
The cost efficiency of model inference is critical to real-world machine learning (ML) applications, especially for delay-sensitive tasks and resource-limited devices. A typical di…
InFi: End-to-End Learning to Filter Input for Resource-Efficiency in Mobile-Centric Inference
Mu Yuan, Lan Zhang, Fengxiang He +4
Mobile-centric AI applications have high requirements for resource-efficiency of model inference. Input filtering is a promising approach to eliminate the redundancy so as to reduc…
SmartLoc: Sensing Landmarks Silently for Smartphone Based Metropolitan Localization
Cheng Bo, Xiang-Yang Li, Taeho Jung +1
We present \emph{SmartLoc}, a localization system to estimate the location and the traveling distance by leveraging the lower-power inertial sensors embedded in smartphones as a su…