A sparse attack method on skeleton-based human action recognition for intelligent metaverse application-Reference-Cited by-同舟云学术

A sparse attack method on skeleton-based human action recognition for intelligent metaverse application

Published:2023-06 Issue: Volume:143 Page:51-60
ISSN:0167-739X
Container-title:Future Generation Computer Systems
language:en
Short-container-title:Future Generation Computer Systems

Author:

Dai Cheng,Huang Yinqin,Chien Wei-Che

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference28 articles.

1. Graph convolutional neural network for human action recognition: a comprehensive survey;Ahmad;IEEE Trans. Artif. Intell.,2021

2. View-invariant human action recognition based on a 3D bio-constrained skeleton model;Nie;IEEE Trans. Image Process.,2019

3. The security of machine learning in an adversarial setting: A survey;Wang;J. Parallel Distrib. Comput.,2019

4. Adversarial attacks on time series;Karim;IEEE Trans. Pattern Anal. Mach. Intell.,2020

5. A survey of safety and trustworthiness of deep neural networks: verification, testing, adversarial attack and defence, and interpretability;Huang;Comp. Sci. Rev.,2020

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The Metaverse: A Multidisciplinary Perspective on the Future of Human Interaction;Communications in Computer and Information Science;2024

2. A Study of User Satisfaction with and Acceptance of a Hydrology and Stratum Subsidence Monitoring System;Sensors and Materials;2023-12-26

3. Multi-party Threshold Private Set Intersection Cardinality Based On Encrypted Bloom Filter;2023 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics);2023-12-17

4. Improving HDR Rendering with UMTMNet’s Multilayer Perception;2023 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics);2023-12-17

5. Semi-supervised Few-shot Network Intrusion Detection based on Meta-learning;2023 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics);2023-12-17