How Deep Learning Sees the World: A Survey on Adversarial Attacks & Defenses-Reference-Cited by-同舟云学术

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How Deep Learning Sees the World: A Survey on Adversarial Attacks & Defenses

Published:2024 Issue: Volume:12 Page:61113-61136
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Costa Joana C.¹^ORCID,Roxo Tiago¹^ORCID,Proença Hugo¹,Inácio Pedro Ricardo Morais¹^ORCID

Affiliation:

1. Instituto de Telecomunicações, sins-lab, Universidade da Beira Interior, Covilhã, Portugal

Funder

Portuguese Fundação para a Ciência e Tecnologia/Ministério da Ciência, Tecnologia e Ensino Superior (FCT/MCTES) through National Funds and co-funded by European Union (EU) Funds

FCT Doctoral

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10510296.pdf?arnumber=10510296

Reference244 articles.

1. Deep Learning for Generic Object Detection: A Survey

2. A Comprehensive Survey of Vision-Based Human Action Recognition Methods

3. Deep Face Recognition: A Survey

4. Deep face recognition: A survey

Cited by 3 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. Defense against Adversarial Attacks in Image Recognition Based on Multilayer Filters;Applied Sciences;2024-09-10

2. Adversarial attacks and defenses for large language models (LLMs): methods, frameworks & challenges;International Journal of Multimedia Information Retrieval;2024-06-25

3. Digital security by design;Security Journal;2024-06-19

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