21 citations · 37 across the 10 of their papers we have counts for
11 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…
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…
Cloud-based Privacy Preserving Image Storage, Sharing and Search
Lan Zhang, Taeho Jung, Puchun Feng +2
High-resolution cameras produce huge volume of high quality images everyday. It is extremely challenging to store, share and especially search those huge images, for which increasi…
Outsource Photo Sharing and Searching for Mobile Devices With Privacy Protection
Lan Zhang, Taeho Jung, Cihang Liu +3
With the proliferation of mobile devices, cloud-based photo sharing and searching services are becoming common due to the mobile devices' resource constrains. Meanwhile, there is a…
Enable Portrait Privacy Protection in Photo Capturing and Sharing
Lan Zhang, Kebin Liu, Xiang-Yang Li +3
The wide adoption of wearable smart devices with onboard cameras greatly increases people's concern on privacy infringement. Here we explore the possibility of easing persons from…
SilentSense: Silent User Identification via Dynamics of Touch and Movement Behavioral Biometrics
Cheng Bo, Lan Zhang, Xiang-Yang Li
With the increased popularity of smartphones, various security threats and privacy leakages targeting them are discovered and investigated. In this work, we present \ourprotocoltig…
A General Framework for Privacy-Preserving Distributed Greedy Algorithm
Taeho Jung, Xiang-Yang Li, Lan Zhang
Increasingly more attention is paid to the privacy in online applications due to the widespread data collection for various analysis purposes. Sensitive information might be mined…