A Statistical Physics Perspective: Understanding the Causality Behind Convolutional Neural Network Adversarial Vulnerability.

AuditPCH: Auditable Payment Channel Hub With Privacy Protection.

Time-based attribute-based proxy re-encryption with decryption key update.

MTDCAP: Moving Target Defense-Based CAN Authentication Protocol.

PACDAM: Privacy-Preserving and Adaptive Cross-Chain Digital Asset Marketplace.

HRA-secure attribute-based threshold proxy re-encryption from lattices.

IvyRedaction: Enabling Atomic, Consistent and Accountable Cross-Chain Rewriting.

Privacy-Preserving and Byzantine-Robust Federated Learning.

ECQV-GDH-Based Group Key Exchange Protocol for CAN Bus.

A robust document image watermarking scheme using deep neural network.

pvCNN: Privacy-Preserving and Verifiable Convolutional Neural Network Testing.

PRI: PCH-based privacy-preserving with reusability and interoperability for enhancing blockchain scalability.

Privacy-Preserving and Real-Time Detection of Vehicular Congestion Using Multilayer Perceptron Approach for Internet of Vehicles.

Peripheral-Free Device Pairing by Randomly Switching Power.

Enabling Efficient, Secure and Privacy-Preserving Mobile Cloud Storage.

ZeroCross: A sidechain-based privacy-preserving Cross-chain solution for Monero.

Toward Vehicular Digital Forensics From Decentralized Trust: An Accountable, Privacy-Preserving, and Secure Realization.

Decentralized Anonymous Authentication With Fair Billing for Space-Ground Integrated Networks.

DeepChain: Auditable and Privacy-Preserving Deep Learning with Blockchain-Based Incentive.

Looking Back! Using Early Versions of Android Apps as Attack Vectors.

IvyCross: A Trustworthy and Privacy-preserving Framework for Blockchain Interoperability.

An Adaptive Resilient Load Frequency Controller for Smart Grids With DoS Attacks.

Towards Interpreting Smart Contract against Contract Fraud: A Practical and Automatic Realization.

BB-VDF: Enabling Accountability and Fine-grained Access Control for Vehicular Digital Forensics through Blockchain.

SecEL: Privacy-Preserving, Verifiable and Fault-Tolerant Edge Learning for Autonomous Vehicles.

Toward Blockchain-Based Fair and Anonymous Ad Dissemination in Vehicular Networks.

CrowdBC: A Blockchain-Based Decentralized Framework for Crowdsourcing.

Onionchain: Towards Balancing Privacy and Traceability of Blockchain-Based Applications.

Image Deblocking Detection Based on a Convolutional Neural Network.

DeepChain: Auditable and Privacy-Preserving Deep Learning with Blockchain-based Incentive.

CrowdBC: A Blockchain-based Decentralized Framework for Crowdsourcing.