Generative Adversarial Networks: A Survey Toward Private and Secure Applications

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Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting

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Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative ModelsPreprint

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Real-valued (Medical) Time Series Generation with Recurrent Conditional GANsPreprint

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The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks

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cGANs with Projection DiscriminatorPreprint

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Machine Learning with Membership Privacy using Adversarial Regularization

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Automatic Steganographic Distortion Learning Using a Generative Adversarial Network

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Privacy-Preserving Generative Deep Neural Networks Support Clinical Data Sharing

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How Generative Adversarial Networks and Their Variants Work

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A Survey of Botnet and Botnet Detection

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Adversarial Examples for Generative Models

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Adversarial Transformation Networks: Learning to Generate Adversarial ExamplesPreprint

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Fed-IIoT: A Robust Federated Malware Detection Architecture in Industrial IoT

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MD-GAN: Multi-Discriminator Generative Adversarial Networks for Distributed Datasets

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Federated Learning with Bayesian Differential Privacy

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GANobfuscator: Mitigating Information Leakage Under GAN via Differential Privacy

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MorGAN: Recognition Vulnerability and Attack Detectability of Face Morphing Attacks Created by Generative Adversarial Network

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Differentially Private Releasing via Deep Generative ModelPreprint

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Performing Co-membership Attacks Against Deep Generative Models

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Adversarial Attacks on Mobile Malware Detection

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Privacy-preserving Feature Extraction via Adversarial Training

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Fingerprint Generation and Presentation Attack Detection using Deep Neural Networks

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A Triple Real-Time Trajectory Privacy Protection Mechanism Based on Edge Computing and Blockchain in Mobile Crowdsourcing

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A Comprehensive Survey of Machine Learning Methods for Surveillance Videos Anomaly Detection

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Privacy-Preserved Cyberattack Detection in Industrial Edge of Things (IEoT): A Blockchain-Orchestrated Federated Learning Approach

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Generative Adversarial Networks: A Survey on Attack and Defense Perspective

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Applications of Generative AI (GAI) for Mobile and Wireless Networking: A Survey

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Recent Progress of Artificial Intelligence Application in Polymer Materials

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DANTD: A Deep Abnormal Network Traffic Detection Model for Security of Industrial Internet of Things Using High-Order Features

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Three-Party Evolutionary Game Model of Stakeholders in Mobile Crowdsourcing

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Advances in exosome plasmonic sensing: Device integration strategies and AI-aided diagnosis

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SUNet++: A Deep Network with Channel Attention for Small-Scale Object Segmentation on 3D Medical Images

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LKD-STNN: A Lightweight Malicious Traffic Detection Method for Internet of Things Based on Knowledge Distillation

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A Verifiable Federated Learning Scheme Based on Secure Multi-party Computation

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Robust CSI-Based Human Activity Recognition With Augment Few Shot Learning

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Generative Adversarial Networks for Cyber Threat Hunting in Ethereum Blockchain

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Toward Generative Adversarial Networks for the Industrial Internet of Things

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Rotation Left Digits to Enhance the Security Level of Message Blocks Cryptography

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Distributed computing in multi-agent systems: a survey of decentralized machine learning approaches

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Anonymizing Speech with Generative Adversarial Networks to Preserve Speaker Privacy

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Revolutionizing intrusion detection in industrial IoT with distributed learning and deep generative techniques

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Generalized Generative Deep Learning Models for Biosignal Synthesis and Modality Transfer

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A Comprehensive Survey on Generative AI Solutions in IoT Security

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Self-Attentive Graph Convolution Network With Latent Group Mining and Collaborative Filtering for Personalized Recommendation

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SoK: Privacy-Preserving Data Synthesis

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Integrating generative adversarial networks with IoT for adaptive AI-powered personalized elderly care in smart homes

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Enhancing Worker Recruitment in Collaborative Mobile Crowdsourcing: A Graph Neural Network Trust Evaluation Approach

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Human Behavior Analysis: A Comprehensive Survey on Techniques, Applications, Challenges, and Future Directions

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Sustainability Is Not Enough: Towards AI Supported Regenerative Design

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A Personalized Location Privacy Protection System in Mobile Crowdsourcing

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Data Augmentation and Few-Shot Change Detection in Forest Remote Sensing

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A Covert Jamming Scheme Against an Intelligent Eavesdropper in Cooperative Cognitive Radio Networks

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Quantum Computing and Generative Adversarial Networks (GANs)

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Secure IoT Search Engine: Survey, Challenges Issues, Case Study, and Future Research Direction

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C2S : Class-aware client selection for effective aggregation in federated learning

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Mobile Crowdsourcing Quality Control Method Based on Four-Party Evolutionary Game in Edge Cloud Environment

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Deep Learning-Based Cyber–Physical Feature Fusion for Anomaly Detection in Industrial Control Systems

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Audio-Visual Autoencoding for Privacy-Preserving Video Streaming

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Bilateral Privacy Protection Scheme Based on Adaptive Location Generalization and Grouping Aggregation in Mobile Crowdsourcing

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Analysis of food safety based on machine learning: A comprehensive review and future prospects

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Masked Face Detection Algorithm in the Dense Crowd Based on Federated Learning

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BERT_LF: A Similar Case Retrieval Method Based on Legal Facts

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Integration of Emotional Factors With GAN Algorithm in Stock Price Prediction Method Research

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Iris Deidentification With High Visual Realism for Privacy Protection on Websites and Social Networks

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Detecting the undetectable: GAN-based strategies for network intrusion detection

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Task assignment for hybrid scenarios in spatial crowdsourcing: A Q-Learning-based approach

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Super-Resolution Reconstruction Method of Pavement Crack Images Based on an Improved Generative Adversarial Network

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Disarming visualization-based approaches in malware detection systems

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A Survey of Modern Deep Learning based Generative Adversarial Networks (GANs)

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Towards an Efficient Defense against Deep Learning based Website Fingerprinting

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DEFEAT: A decentralized federated learning against gradient attacks

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Accurate detection of paroxysmal atrial fibrillation with certified-GAN and neural architecture search

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On the use of deep learning for computer-generated holography

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A Novel Generative Model for Face Privacy Protection in Video Surveillance with Utility Maintenance

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Financial Big Data Based on Internet of Things and Wireless Network Communication

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Task offloading optimization mechanism based on deep neural network in edge-cloud environment

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A Local Differential Privacy Trajectory Protection Method Based on Temporal and Spatial Restrictions for Staying Detection

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Score-Guided Generative Adversarial Networks

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ATSG: Adaptive Token Linking With Segment Anything Model Guidance for Weakly Supervised Remote Sensing Image Semantic Segmentation

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Enhancing atrial fibrillation classification from single-lead electrocardiogram signals using attention-based networks and generative adversarial networks with density-based clustering

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Generative Artificial Intelligence for Social Good and Sustainable Development

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A Framework for Drift Detection and Adaptation in AI-driven Anomaly and Threat Detection Systems

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Smart Grid Systems: Addressing Privacy Threats, Security Vulnerabilities, and Demand–Supply Balance (A Review)

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Learning Adaptive Node Embeddings across Graphs

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Accurate and Clear Quantitative Precipitation Nowcasting Based on a Deep Learning Model with Consecutive Attention and Rain-Map Discrimination

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Constrained CycleGAN for effective generation of ultrasound sector images of improved spatial resolution

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Advancing student outcome predictions through generative adversarial networks

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Weather-Adaptive Synthetic Data Generation for Enhanced Power Line Inspection Using StarGAN

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Network Threat Detection Based on Group CNN for Privacy Protection

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Wasserstein Generative Adversarial Networks Based Differential Privacy Metaverse Data Sharing

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Controllable Tabular Data Synthesis Using Diffusion Models

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Integration of Federated Learning and AI-Generated Content: A Survey of Overview, Opportunities, Challenges, and Solutions

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Privacy-Preserving Mechanisms for Multi-Label Image Recognition

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Generative Adversarial Networks: A Survey Towards Private and Secure ApplicationsPreprint

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Security Issues in Generative Adversarial Networks

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Generative Adversarial Networks: A Survey on Attack and Defense Perspective

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Generative Adversarial Networks in Security and Data Privacy Sector: A Survey

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Privacy-Preserving Generative Models: A Comprehensive SurveyPreprint

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