Shengmin Xu

Traceable Dynamic Public Auditing with Identity Privacy Preserving for Cloud Storage

2019 · KSII Transactions on Internet and Information Systems

In cloud computing era, an increasing number of resource-constrained users outsource their data to cloud servers. Due to the untrustworthiness of cloud servers, it is important to ensure the integrity of outsourced data. However, most …

Secure and Verifiable Inference in Deep Neural Networks

2020 · Annual Computer Security Applications Conference

Outsourced inference service has enormously promoted the popularity of deep learning, and helped users to customize a range of personalized applications. However, it also entails a variety of security and privacy issues brought by untrusted …

Mind the Cost of Scaffold! Benign Clients May Even Become Accomplices of Backdoor Attack

2024 · arXiv (Cornell University)

By using a control variate to calibrate the local gradient of each client, Scaffold has been widely known as a powerful solution to mitigate the impact of data heterogeneity in Federated Learning. Although Scaffold achieves …

Verifiable and Lightweight Multi-Round Secure Federated Learning

2025 · IEEE Transactions on Dependable and Secure Computing

Federated learning (FL) is a paradigm that ensures the confidentiality and accessibility of data without requiring the collection of private data from multiple sources. It acquires an aggregation model by integrating various local models from …