Jan. 2025: Two papers accepted by USENIX Security 2025
Dec. 2024: One paper accepted by SCIENCE CHINA Information Sciences
Dec. 2024: One paper accepted by IEEE TIFS
Nov. 2024: One paper accepted by Journal of Software (软件学报)
Oct. 2024: One paper accepted by NDSS 2025
Oct. 2024: One paper accepted by IEEE TIFS
Sep. 2024: One paper accepted by NeurIPS 2024
May. 2024: One paper accepted by ACM CCS 2024
Apr. 2024: One paper accepted by ACM CCS 2024
Background
Research at the Network Information System Security & Privacy (NIS&P) Lab focuses on three areas: cloud computing security, wireless system security, and big data and AI security.
In cloud security, the lab aims to deliver secure, privacy-preserving, usable, scalable, and high-performance data outsourcing services, including privacy-preserving search over large-scale encrypted data, secure cloud storage auditing with strong correctness guarantees, and secure outsourced computation for large-scale engineering problems.
In wireless system security, the lab leverages physical-layer (PHY) characteristics to build robust and secure communication channels, with a focus on short-range communications among smart devices and joint performance-security designs for off-the-shelf smartphones.
In big data and AI security, the lab investigates privacy-preserving machine learning (especially deep learning) across data training, classification, and feature extraction, and also designs sophisticated attacks against AI systems such as face recognition, voice recognition, and autonomous driving.
The research is interdisciplinary, integrating advanced cryptographic tools, differential privacy, machine/deep learning, and signal processing techniques.