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Adaptive iterative attack towards explainable adversarial robustness

Pattern recognition, 2020-09, Vol.105, p.107309, Article 107309

2020

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The security of machine learning in an adversarial setting: A survey

Journal of parallel and distributed computing, 2019-08, Vol.130, p.12-23

2019

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Estimating Maize Crop Height and Aboveground Biomass Using Multi-Source Unmanned Aerial Vehicle Remote Sensing and Optuna-Optimized Ensemble Learning Algorithms

Remote sensing (Basel, Switzerland), 2024-09, Vol.16 (17), p.3176

2024

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An Evolutionary-Based Black-Box Attack to Deep Neural Network Classifiers

Mobile networks and applications, 2021-08, Vol.26 (4), p.1616-1629

2021

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Boosting Targeted Black-Box Attacks via Ensemble Substitute Training and Linear Augmentation

Applied sciences, 2019-06, Vol.9 (11), p.2286

2019

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Integrated Analysis of circRNA-miRNA-mRNA-Mediated Network and Its Potential Function in Atrial Fibrillation

Frontiers in cardiovascular medicine, 2022-06, Vol.9, p.883205-883205

2022

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I-HMM-Based Multidimensional Network Security Risk Assessment

IEEE access, 2020, Vol.8, p.1431-1442

2020

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Privacy preservation for machine learning training and classification based on homomorphic encryption schemes

Information sciences, 2020-07, Vol.526, p.166-179

2020

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A CMA-ES-Based Adversarial Attack on Black-Box Deep Neural Networks

IEEE access, 2019, Vol.7, p.172938-172947

2019

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Dynamic loss yielding more transferable targeted adversarial examples

Neurocomputing (Amsterdam), 2024-07, Vol.590, p.127754, Article 127754

2024

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When Moving Target Defense Meets Attack Prediction in Digital Twins: A Convolutional and Hierarchical Reinforcement Learning Approach

IEEE journal on selected areas in communications, 2023-10, Vol.41 (10), p.1-1

2023

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How to Mitigate DDoS Intelligently in SD-IoV: A Moving Target Defense Approach

IEEE transactions on industrial informatics, 2023-01, Vol.19 (1), p.1097-1106

2023

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Ventricular activation pattern of left ventricular septal pacing in a canine model

Journal of interventional cardiac electrophysiology, 2024-08

2024

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Context-Aware Adaptive Route Mutation Scheme: A Reinforcement Learning Approach

IEEE internet of things journal, 2021-09, Vol.8 (17), p.13528-13541

2021

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Towards a physical-world adversarial patch for blinding object detection models

Information sciences, 2021-05, Vol.556, p.459-471

2021

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Detecting adversarial examples via prediction difference for deep neural networks

Information sciences, 2019-10, Vol.501, p.182-192

2019

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How to Disturb Network Reconnaissance: A Moving Target Defense Approach Based on Deep Reinforcement Learning

IEEE transactions on information forensics and security, 2023, Vol.18, p.5735-5748

2023

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Toward Attack-Resistant Route Mutation for VANETs: An Online and Adaptive Multiagent Reinforcement Learning Approach

IEEE transactions on intelligent transportation systems, 2022-12, Vol.23 (12), p.23254-23267

2022

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Oblivious Transfer for Privacy-Preserving in VANET's Feature Matching

IEEE transactions on intelligent transportation systems, 2021-07, Vol.22 (7), p.4359-4366

2021

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Identification of autophagy-related signatures in doxorubicin-induced cardiotoxicity

Toxicology and applied pharmacology, 2024-10, Vol.491, p.117082, Article 117082

2024

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A Mutation-Enabled Proactive Defense Against Service-Oriented Man-in-The-Middle Attack in Kubernetes

IEEE transactions on computers, 2023-07, Vol.72 (7), p.1843-1856

2023

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An adversarial attack on DNN-based black-box object detectors

Journal of network and computer applications, 2020-07, Vol.161, p.102634, Article 102634

2020

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A discrete cosine transform-based query efficient attack on black-box object detectors

Information sciences, 2021-02, Vol.546, p.596-607

2021

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Towards Attack-Resistant Service Function Chain Migration: A Model-based Adaptive Proximal Policy Optimization Approach

IEEE transactions on dependable and secure computing, 2023-11, Vol.20 (6), p.1-16

2023

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A Multi-Shuffler Framework to Establish Mutual Confidence for Secure Federated Learning

IEEE transactions on dependable and secure computing, 2023-09, Vol.20 (5), p.4230-4244

2023

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Adaptive iterative attack towards explainable adversarial robustness

The security of machine learning in an adversarial setting: A survey

Estimating Maize Crop Height and Aboveground Biomass Using Multi-Source Unmanned Aerial Vehicle Remote Sensing and Optuna-Optimized Ensemble Learning Algorithms

An Evolutionary-Based Black-Box Attack to Deep Neural Network Classifiers

Boosting Targeted Black-Box Attacks via Ensemble Substitute Training and Linear Augmentation

Integrated Analysis of circRNA-miRNA-mRNA-Mediated Network and Its Potential Function in Atrial Fibrillation

I-HMM-Based Multidimensional Network Security Risk Assessment

Privacy preservation for machine learning training and classification based on homomorphic encryption schemes

A CMA-ES-Based Adversarial Attack on Black-Box Deep Neural Networks

Dynamic loss yielding more transferable targeted adversarial examples

When Moving Target Defense Meets Attack Prediction in Digital Twins: A Convolutional and Hierarchical Reinforcement Learning Approach

How to Mitigate DDoS Intelligently in SD-IoV: A Moving Target Defense Approach

Ventricular activation pattern of left ventricular septal pacing in a canine model

Context-Aware Adaptive Route Mutation Scheme: A Reinforcement Learning Approach

Towards a physical-world adversarial patch for blinding object detection models

Detecting adversarial examples via prediction difference for deep neural networks

How to Disturb Network Reconnaissance: A Moving Target Defense Approach Based on Deep Reinforcement Learning

Toward Attack-Resistant Route Mutation for VANETs: An Online and Adaptive Multiagent Reinforcement Learning Approach

Oblivious Transfer for Privacy-Preserving in VANET's Feature Matching

Identification of autophagy-related signatures in doxorubicin-induced cardiotoxicity

A Mutation-Enabled Proactive Defense Against Service-Oriented Man-in-The-Middle Attack in Kubernetes

An adversarial attack on DNN-based black-box object detectors

A discrete cosine transform-based query efficient attack on black-box object detectors

Towards Attack-Resistant Service Function Chain Migration: A Model-based Adaptive Proximal Policy Optimization Approach

A Multi-Shuffler Framework to Establish Mutual Confidence for Secure Federated Learning

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