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Sankore

Named after the University of Sankore in Timbuktu — one of the world’s oldest centres of learning. Every figure here is computed from work-level records in our own graph, never copied from a source’s summary count.

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EVALUATING THE ROBUSTNESS OF CONVOLUTIONAL NEURAL NETWORKS AGAINST ADVERSARIAL IMAGE PERTURBATIONS IN REAL-WORLD SCENARIOS

2025International Journal of African Innovation and Multidisciplinary ResearchJournalOpen access

10.70382/mejaimr.v10i2.077 Full text0 citations

Authors

5 authors.

IDA BAGUS KADE PUJA ARIMBAWA K.First author
- University of Lagos (NG)
as printed: ISHOLA A.K.
Babatunde Olofin
- University of Lagos (NG)
as printed: OLOFIN, B.B.
ISHOLA, P.E.
- University of Lagos (NG)
UMOREN, U.M.
- University of Lagos (NG)
ADEOLA, P.Senior author
- University of Lagos (NG)

Fields

Assignment is probabilistic — a work belongs to several fields in proportions.

Adversarial Robustness in Machine Learninglevel 3 · 0.99
Digital Media Forensic Detectionlevel 3 · 0.00
Explainable Artificial Intelligence (XAI)level 3 · 0.00

Sources

Several sources describing one work is the point — it means the record rests on more than one authority.

openalexseen September 9, 2026
2025 · International Journal of African Innovation and Multidisciplinary Research · 0 citations
https://openalex.org/W4415783717

EVALUATING THE ROBUSTNESS OF CONVOLUTIONAL NEURAL NETWORKS AGAINST ADVERSARIAL IMAGE PERTURBATIONS IN REAL-WORLD SCENARIOS · Sankore