97 citations · 161 across the 13 of their papers we have counts for
13 papers
SoK: Stablecoin Designs, Risks, and the Stablecoin LEGO
Shengchen Ling, Yuefeng Du, Yajin Zhou +4
Stablecoins have become significant assets in modern finance, with a market capitalization exceeding USD 246 billion (May 2025). Yet, despite their systemic importance, a comprehen…
Metadata-private Messaging without Coordination
Peipei Jiang, Yihao Wu, Lei Xu +6
For those seeking end-to-end private communication free from pervasive metadata tracking and censorship, the Tor network has been the de-facto choice in practice, despite its susce…
LiveVal: Time-aware Data Valuation via Adaptive Reference Points
Jie Xu, Zihan Wu, Cong Wang +1
Time-aware data valuation enhances training efficiency and model robustness, as early detection of harmful samples could prevent months of wasted computation. However, existing met…
Training with Differential Privacy: A Gradient-Preserving Noise Reduction Approach with Provable Security
Haodi Wang, Tangyu Jiang, Yu Guo +3
Deep learning models have been extensively adopted in various regions due to their ability to represent hierarchical features, which highly rely on the training set and procedures.…
LMEraser: Large Model Unlearning through Adaptive Prompt Tuning
Jie Xu, Zihan Wu, Cong Wang +1
To address the growing demand for privacy protection in machine learning, we propose a novel and efficient machine unlearning approach for \textbf{L}arge \textbf{M}odels, called \t…
On the Security Bootstrapping in Named Data Networking
Tianyuan Yu, Xinyu Ma, Hongcheng Xie +2
By requiring all data packets been cryptographically authenticatable, the Named Data Networking (NDN) architecture design provides a basic building block for secured networking. Th…
Machine Unlearning: Solutions and Challenges
Jie Xu, Zihan Wu, Cong Wang +1
Machine learning models may inadvertently memorize sensitive, unauthorized, or malicious data, posing risks of privacy breaches, security vulnerabilities, and performance degradati…
Intellectual Property Protection of Diffusion Models via the Watermark Diffusion Process
Sen Peng, Yufei Chen, Cong Wang +1
Diffusion models have rapidly become a vital part of deep generative architectures, given today's increasing demands. Obtaining large, high-performance diffusion models demands sig…
OblivGM: Oblivious Attributed Subgraph Matching as a Cloud Service
Songlei Wang, Yifeng Zheng, Xiaohua Jia +2
In recent years there has been growing popularity of leveraging cloud computing for storing and querying attributed graphs, which have been widely used to model complex structured…
SecSkyline: Fast Privacy-Preserving Skyline Queries over Encrypted Cloud Databases
Yifeng Zheng, Weibo Wang, Songlei Wang +3
The well-known benefits of cloud computing have spurred the popularity of database service outsourcing, where one can resort to the cloud to conveniently store and query databases.…
Privacy-Preserving Analytics on Decentralized Social Graphs: The Case of Eigendecomposition
Songlei Wang, Yifeng Zheng, Xiaohua Jia +1
Analytics over social graphs allows to extract valuable knowledge and insights for many fields like community detection, fraud detection, and interest mining. In practice, decentra…
SecGNN: Privacy-Preserving Graph Neural Network Training and Inference as a Cloud Service
Songlei Wang, Yifeng Zheng, Xiaohua Jia
Graphs are widely used to model the complex relationships among entities. As a powerful tool for graph analytics, graph neural networks (GNNs) have recently gained wide attention d…
Evaluating Adversarial Attacks on Driving Safety in Vision-Based Autonomous Vehicles
Jindi Zhang, Yang Lou, Jianping Wang +3
In recent years, many deep learning models have been adopted in autonomous driving. At the same time, these models introduce new vulnerabilities that may compromise the safety of a…