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Olakunle Ibitoye · Peerford

University of Lagos / Scholars

OI

Olakunle Ibitoye

University of Lagos

Publishing since 2023

Artificial Intelligence
Computer Networks and Communications
Computer Vision and Pattern Recognition
Hardware and Architecture

ORCID 0000-0002-7943-0163
Their record on OpenAlex
Download CV:PDF Word
Who they write with Where their co-authors are Every publication
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Publications: 22023
Citations: 0to those papers
h-index: 0i10-index 0
Field-weighted impact: 0.001.00 is the world average
World top 10%: 0%0 of 2 scored papers
Open access: 0%0 papers free to read

By year

Papers, and the citations to them

Publications, left axisCitations to that year’s papers, right axis2026 still in progress

What they work on

From the classification of each paper

Subfields

Artificial Intelligence2100%
Computer Networks and Communications150%
Computer Vision and Pattern Recognition

Publications

2 in all

Newest Most cited Oldest Title

Search their publications by title

A generative adversarial network-based approach for mitigating inference attacks in emerging wireless networks
2023Book chapterFirst author0 citations10.1049/pbse021e_ch16
Adversarial resilience of self-normalizing convolutional neural networks for deep learning-based intrusion detection systems
2023Book chapterFirst author

150%

Hardware and Architecture150%

Physical Sciences

Topics most written on

Adversarial Robustness in Machine Learning2
Anomaly Detection Techniques and Applications1
Digital Media Forensic Detection1
Network Security and Intrusion Detection1
Physical Unclonable Functions (PUFs) and Hardware Security1

Who they write with

Their most frequent co-authors, and the papers those co-authors share

Where their co-authors are

100% of their papers have a co-author abroad

papers co-written2222222Home

Most frequent partner countries

Canada2
Germany2

Papers with at least one author in that country.

Institutions written with most

Carleton UniversityCA2 papers
Ruhr University BochumDE2 papers

How it can be read

0% free to read

Closed 2 · 100%Behind a paywall

Development goals addressed

From each paper’s title and abstract

16Peace, justice and strong institutions1

Most cited

A generative adversarial network-based approach for mitigating inference attacks in emerging wireless networks
16
20230 citations
Adversarial resilience of self-normalizing convolutional neural networks for deep learning-based intrusion detection systems
20230 citations

0 citations

10.1049/pbse021e_ch17