12 citations · 57 across the 15 of their papers we have counts for
15 papers
SoK: Attack and Defense Landscape of Mobile On-device AI Systems
Yujin Huang, Xin Zheng, Xingliang Yuan +1
Mobile on-device AI (MoAI) systems that integrate locally deployed AI models with conventional mobile software components are emerging as a key paradigm for delivering intelligent…
Certifying the Right to Be Forgotten: Primal-Dual Optimization for Sample and Label Unlearning in Vertical Federated Learning
Yu Jiang, Xindi Tong, Ziyao Liu +3
Federated unlearning has become an attractive approach to address privacy concerns in collaborative machine learning, for situations when sensitive data is remembered by AI models…
A Macro- and Micro-Hierarchical Transfer Learning Framework for Cross-Domain Fake News Detection
Xuankai Yang, Yan Wang, Xiuzhen Zhang +3
Cross-domain fake news detection aims to mitigate domain shift and improve detection performance by transferring knowledge across domains. Existing approaches transfer knowledge ba…
Artificial Intelligence without Restriction Surpassing Human Intelligence with Probability One: Theoretical Insight into Secrets of the Brain with AI Twins of the Brain
Guang-Bin Huang, M. Brandon Westover, Eng-King Tan +11
Artificial Intelligence (AI) has apparently become one of the most important techniques discovered by humans in history while the human brain is widely recognized as one of the mos…
Tabular Data Synthesis with Differential Privacy: A Survey
Mengmeng Yang, Chi-Hung Chi, Kwok-Yan Lam +3
Data sharing is a prerequisite for collaborative innovation, enabling organizations to leverage diverse datasets for deeper insights. In real-world applications like FinTech and Sm…
Parameter Training Efficiency Aware Resource Allocation for AIGC in Space-Air-Ground Integrated Networks
Liangxin Qian, Peiyuan Si, Jun Zhao +1
With the evolution of artificial intelligence-generated content (AIGC) techniques and the development of space-air-ground integrated networks (SAGIN), there will be a growing oppor…
Decentralized Multimedia Data Sharing in IoV: A Learning-based Equilibrium of Supply and Demand
Jiani Fan, Minrui Xu, Jiale Guo +4
The Internet of Vehicles (IoV) has great potential to transform transportation systems by enhancing road safety, reducing traffic congestion, and improving user experience through…
Separate-and-Aggregate: A Transformer-based Patch Refinement Model for Knowledge Graph Completion
Chen Chen, Yufei Wang, Yang Zhang +2
Knowledge graph completion (KGC) is the task of inferencing missing facts from any given knowledge graphs (KG). Previous KGC methods typically represent knowledge graph entities an…
Dipping PLMs Sauce: Bridging Structure and Text for Effective Knowledge Graph Completion via Conditional Soft Prompting
Chen Chen, Yufei Wang, Aixin Sun +2
Knowledge Graph Completion (KGC) often requires both KG structural and textual information to be effective. Pre-trained Language Models (PLMs) have been used to learn the textual i…
Traceable and Authenticable Image Tagging for Fake News Detection
Ruohan Meng, Zhili Zhou, Qi Cui +2
To prevent fake news images from misleading the public, it is desirable not only to verify the authenticity of news images but also to trace the source of fake news, so as to provi…
Edge-Cloud Cooperation for DNN Inference via Reinforcement Learning and Supervised Learning
Tinghao Zhang, Zhijun Li, Yongrui Chen +2
Deep Neural Networks (DNNs) have been widely applied in Internet of Things (IoT) systems for various tasks such as image classification and object detection. However, heavyweight D…
Facial Landmark Predictions with Applications to Metaverse
Qiao Han, Jun Zhao, Kwok-Yan Lam
This research aims to make metaverse characters more realistic by adding lip animations learnt from videos in the wild. To achieve this, our approach is to extend Tacotron 2 text-t…
Knowledge Is Flat: A Seq2Seq Generative Framework for Various Knowledge Graph Completion
Chen Chen, Yufei Wang, Bing Li +1
Knowledge Graph Completion (KGC) has been recently extended to multiple knowledge graph (KG) structures, initiating new research directions, e.g. static KGC, temporal KGC and few-s…
One-Class Knowledge Distillation for Face Presentation Attack Detection
Zhi Li, Rizhao Cai, Haoliang Li +3
Face presentation attack detection (PAD) has been extensively studied by research communities to enhance the security of face recognition systems. Although existing methods have ac…
Asymmetric Modality Translation For Face Presentation Attack Detection
Zhi Li, Haoliang Li, Xin Luo +3
Face presentation attack detection (PAD) is an essential measure to protect face recognition systems from being spoofed by malicious users and has attracted great attention from bo…