An efficient computer-aided diagnosis model for classifying melanoma cancer using fuzzy-ID3-pvalue decision tree algorithm.

APCSMA: Adaptive Personalized Client-Selection and Model-Aggregation Algorithm for Federated Learning in Edge Computing Scenarios.

RPSC: Regulatable Privacy-Preserving Smart Contracts on Account-Based Blockchain.

Privacy-Preserving Recommendation Based on a Shuffled Federated Graph Neural Network.

CAPPAD: a privacy-preservation solution for autonomous vehicles using SDN, differential privacy and data aggregation.

Exploring a Mesh-Hub-Based Wireless Sensor Network for Smart Home Electrical Monitoring.

Listening to Users' Voice: Automatic Summarization of Helpful App Reviews.

Elliptic curve cryptographic image encryption using Henon map and Hopfield chaotic neural network.

Privacy-Preserving Techniques in Cloud/Fog and Internet of Things.

Deep learning: Applications, architectures, models, tools, and frameworks: A comprehensive survey.

A blockchain-based privacy-preserving advertising attribution architecture: Requirements, design, and a prototype implementation.

A novel buffering fault-tolerance approach for network on chip (NoC).

Automatic IoT device identification: a deep learning based approach using graphic traffic characteristics.

Evolutionary Multilabel Adversarial Examples: An Effective Black-Box Attack.

SVScanner: Detecting smart contract vulnerabilities via deep semantic extraction.

An intelligent sustainable efficient transmission internet protocol to switch between User Datagram Protocol and Transmission Control Protocol in IoT computing.

A near-optimal & load balanced resilient system design for high-performance computing platform.

Recent trends towards privacy-preservation in Internet of Things, its challenges and future directions.

Defending Against Data Poisoning Attacks: From Distributed Learning to Federated Learning.

ShrewdAttack: Low Cost High Accuracy Model Extraction.

SLGNN: synthetic lethality prediction in human cancers based on factor-aware knowledge graph neural network.

Dynamic Contrastive Distillation for Image-Text Retrieval.

Adversarial ELF Malware Detection Method Using Model Interpretation.

PSPGO: Cross-Species Heterogeneous Network Propagation for Protein Function Prediction.

A Generic Cryptographic Deep-Learning Inference Platform for Remote Sensing Scenes.

Kdb-D2CFR: Solving Multiplayer imperfect-information games with knowledge distillation-based DeepCFR.

PPDMIT: a lightweight architecture for privacy-preserving data aggregation in the Internet of Things.

User-Centric Federated Matrix Factorization Based on Differential Privacy.

Collaborative Detection of Community Structure in Multiple Private Networks.

Simulation Method for Blockchain Systems with a Public Chain.

3D face recognition algorithm based on nose tip contour and radial curve.

An IoT and machine learning-based routing protocol for reconfigurable engineering application.

Robust Unlearnable Examples: Protecting Data Against Adversarial Learning.

Adversarial malware sample generation method based on the prototype of deep learning detector.

An efficient cluster head selection for wireless sensor network-based smart agriculture systems.

An Evolutionary Study of IoT Malware.

Providing Cache Consistency Guarantee for ICN-Based IoT Based on Push Mechanism.

RR-LADP: A Privacy-Enhanced Federated Learning Scheme for Internet of Everything.

Solving imperfect-information games via exponential counterfactual regret minimization.

A high-performance virtual machine filesystem monitor in cloud-assisted cognitive IoT.

AdSelector: A Privacy-Preserving Advertisement Selection Mechanism for Mobile Devices.

Privacy-preserving targeted mobile advertising: requirements, design and a prototype implementation.