Ibrahim Yilmaz

Jacksonville College — United States

Computer Science · Physical Sciences

6h-index156citations24works0.42yr avg
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Research Topics

Adversarial Robustness in Machine Learning(8), Smart Grid Security and Resilience(6), Network Security and Intrusion Detection(5), Electricity Theft Detection Techniques(5), Advanced Malware Detection Techniques(4)

Publications24 total

SegRenalSegRenal: AI-driven segmentation of frozen sections in transplant kidney biopsies – a comparative analysis of deep learning models
Journal of Pathology Informatics·2025Open Access
Mass Prediction from 2D Images
Lecture notes in networks and systems·2025
1398 AI-Powered Detection and Quantification of General-Purpose Nuclear Marker in Immunohistochemically Stained Tumor Tissues
Laboratory Investigation·2025Open Access
1492 SegRenal: AI-Powered Segmentation and Quantification of Frozen Section Histopathology of Preimplantation Kidney Biopsies
Laboratory Investigation·2025
SegRenal: AI-Driven Segmentation of Frozen Sections in Transplant Kidney Biopsies - A Comparative Analysis of Deep Learning Models
2024· 2 citedOpen Access
FIGO: Fingerprint Identification Approach Using GAN and One Shot Learning Techniques
2023· 6 cited
Trustworthy Data Analysis and Sensor Data Protection in Cyber-Physical Systems
2021· 11 cited
Privacy Protection of Grid Users Data with Blockchain and Adversarial Machine Learning
2021· 1 citedOpen Access
Privacy Protection of Grid Users Data with Blockchain and Adversarial\n Machine Learning
arXiv (Cornell University)·2021Open Access
Improving DGA-Based Malicious Domain Classifiers for Malware Defense\n with Adversarial Machine Learning
arXiv (Cornell University)·2021· 1 citedOpen Access
On the Assessment of Robustness of Telemedicine Applications against Adversarial Machine Learning Attacks
Lecture notes in computer science·2021· 6 cited
Avoiding Occupancy Detection From Smart Meter Using Adversarial Machine Learning
IEEE Access·2021· 3 citedOpen Access
Improving DGA-Based Malicious Domain Classifiers for Malware Defense with Adversarial Machine Learning
2020Open Access
Avoiding Occupancy Detection from Smart Meter using Adversarial Machine\n Learning
arXiv (Cornell University)·2020Open Access
Addressing Imbalanced Data Problem with Generative Adversarial Network For Intrusion Detection
2020· 54 cited
*WINNER* Use of Adversarial Machine Learning for Avoiding Occupancy Detection from Smart Meter
Proceedings of Student Research and Creative Inquiry Day·2020
Practical Fast Gradient Sign Attack against Mammographic Image\n Classifier
arXiv (Cornell University)·2020· 5 citedOpen Access
Practical Fast Gradient Sign Attack against Mammographic Image Classifier
arXiv (Cornell University)·2020· 8 citedOpen Access
Expansion of Cyber Attack Data From Unbalanced Datasets Using Generative Techniques
arXiv (Cornell University)·2019· 11 citedOpen Access
The Evaluation of High-Degree Geopotential Models for Regional Geoid Determination in Turkey
2017· 2 cited
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Frequent Co-authors

Ambareen Siraj(7), Mevlüt Güllü(4), Heba Alazab(4), Fatih Doganay(4), Bryan Dangott(4), Aziza Nassar(4), Zeynettin Akkus(4), Denis Ulybyshev(3), Mahmoud Abouyoussef(3), Fadi Salem(3), Rahat Masum(2), Sam Albadri(2), Bradley Northern(1), Vadim Kholodilo(1), Michael Rogers(1), Mohamed Baza(1), Ramy Amer(1), Amar Rasheed(1), Fathi Amsaad(1), Rasha Morsi(1)