A low-latency edge computation offloading scheme for trust evaluation in finance-level artificial intelligence of things

X Zhu, F Ma, F Ding, Z Guo, J Yang… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
The finance-level Artificial Intelligence of Things (AIoT) is going to become a novel media in
the 6G-driven digital society. Inside the financial AIoT environment, large-scale crowd credit …

Comprehensive survey: Biometric user authentication application, evaluation, and discussion

R Alrawili, AAS AlQahtani, MK Khan - Computers and Electrical …, 2024 - Elsevier
In this paper, we present a comprehensive review of the literature on biometric user
authentication, encompassing an analysis of key aspects such as the selection of biometric …

A privacy-preserving social computing framework for health management using federated learning

Z Shen, F Ding, Y Yao, A Bhardwaj… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Currently, health management driven by intelligent means is a general demand of social
systems. Although a number of researchers have paid attention to such areas, they have …

Restricted black-box adversarial attack against deepfake face swapping

J Dong, Y Wang, J Lai, X Xie - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
DeepFake face swapping presents a significant threat to online security and social media,
which can replace the source face in an arbitrary photo/video with the target face of an …

A vehicle-road urban sensing framework for collaborative content delivery in freeway-oriented vehicular networks

X Zhu, Q Hua, W Yan, Z Guo, K Yu - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
Urban sensing provides a fundamental computing environment for smart cities, in which
ubiquitous vehicular networks are an important component. Due to the limitation of urban …

A Deep Learning-Based Data Management Scheme for Intelligent Control of Wastewater Treatment Processes Under Resource-Constrained IoT Systems

Y Shen, X Zhu, Z Guo, K Yu, O Alfarraj… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Effective data management schemes have always been the major demand in universal
industrial Internet of Things (IoT) systems, especially in resource-constrained scenarios. In …

Exposing deepfakes using dual-channel network with multi-axis attention and frequency analysis

Y Zhou, B Fan, P K. Atrey, F Ding - … of the 2023 ACM Workshop on …, 2023 - dl.acm.org
This paper proposes a dual-channel network for DeepFake detection. The network
comprises two channels: one using a stacked Maxvit block to process the downsampled …

Synthesizing black-box anti-forensics deepfakes with high visual quality

B Fan, S Hu, F Ding - ICASSP 2024-2024 IEEE International …, 2024 - ieeexplore.ieee.org
DeepFake, an AI technology for creating facial forgeries, has garnered global attention.
Amid such circumstances, forensics researchers focus on developing defensive algorithms …

The spiral of digital falsehood in deepfakes

M Leone - International Journal for the Semiotics of Law-Revue …, 2023 - Springer
The article defines the research field of a semiotically oriented philosophy of digital
communication. It lays out its methodological perspective, pointing out how the fake has …

A Cross-Field Deep Learning-based Fuzzy Spamming Detection Approach Via Collaboration of Behavior Modeling and Sentiment Analysis

K Yu, X Zhu, Z Guo, A Tolba… - … on Fuzzy Systems, 2024 - ieeexplore.ieee.org
Intelligent detection techniques for Online spamming have been a hot concern in academia.
Although much technical progress has been achieved in recent years, two aspects of …