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Differential Privacy Enabled Cascaded Filter for Efficient and Privacy-Preserving Federated Learning
Section: Publications & Resources
Federated learning (FL) enables collaborative model training across multiple clients in a privacy-preserving manner. However, the employment of homomorphic encryption algorithms might lead to high com
Section: Publications & Resources
Distributed learning frameworks, which partition neural network models across multiple computing nodes, enhance efficiency in collaborative edge-cloud systems, but may also introduce new vulnerabiliti
Section: Publications & Resources
The rapid advancement of generative adversarial networks and diffusion-based models has enabled the creation of highly realistic synthetic images, raising urgent concerns regarding the authenticity of
Section: Publications & Resources
The human hand serves as a vital biometric modality, with the palm, fingers, and knuckles commonly employed for identity recognition across a range of applications. Despite the abundance of sensitive
Section: Publications & Resources
Encrypted traffic analysis (ETA) plays a critical role in detecting malicious activities. Although machine learning-based ETA has shown significant promise, existing methods heavily depend on large-sc
Section: Publications & Resources
In Incorrect-Plaintext Attacks (IPA), a malicious Data Owner (DO) compromises system security by encrypting incorrect plaintext, while a malicious Data User (DU) undermines system fairness by falsely
Section: Publications & Resources
As Retrieval-Augmented Generation (RAG) brings Large Language Models (LLMs) into contact with proprietary and user-specific knowledge bases in sensitive domains, protecting the privacy of both queries
Section: Publications & Resources
Optical Coherence Tomography (OCT) has emerged as a powerful technique for capturing subcutaneous internal fingerprints (IF) and internal sweat pores (ISP), offering enhanced security over surface bio
Section: Publications & Resources
Text-to-image (T2I) models can be exploited to produce unsafe images. Existing safety measures, e.g., content moderation or model alignment, can be weakened by adversaries who attempt to restore unsaf
Section: Publications & Resources
Electric Vehicles (EVs) now function as both energy consumers and producers within the energy internet-enabled smart grid, enabling bidirectional energy exchange with the grid. To facilitate secure Ve
