Ibrahim Yilmaz

Orcid: 0000-0002-5959-7353

According to our database1, Ibrahim Yilmaz authored at least 13 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2023
An Interval-Valued Pythagorean Fuzzy AHP and COPRAS Hybrid Methods for the Supplier Selection Problem.
Int. J. Comput. Intell. Syst., December, 2023

Celiac disease multi-purpose diet plan through integrated goal programming and Interval Type 2 Fuzzy TOPSIS method.
Expert Syst. Appl., May, 2023

FIGO: Fingerprint Identification Approach Using GAN and One Shot Learning Techniques.
Proceedings of the 11th International Symposium on Digital Forensics and Security, 2023

2022
FIGO: Enhanced Fingerprint Identification Approach Using GAN and One Shot Learning Techniques.
CoRR, 2022

2021
Improving DGA-Based Malicious Domain Classifiers for Malware Defense with Adversarial Machine Learning.
CoRR, 2021

Avoiding Occupancy Detection From Smart Meter Using Adversarial Machine Learning.
IEEE Access, 2021

On the Assessment of Robustness of Telemedicine Applications against Adversarial Machine Learning Attacks.
Proceedings of the Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices, 2021

Privacy Protection of Grid Users Data with Blockchain and Adversarial Machine Learning.
Proceedings of the SAT-CPS@CODASPY 2021, 2021

Trustworthy Data Analysis and Sensor Data Protection in Cyber-Physical Systems.
Proceedings of the SAT-CPS@CODASPY 2021, 2021

2020
Evaluation of retail ındustry performance ability through ıntegrated ıntuitionistic fuzzy TOPSIS and data envelopment analysis approach.
Soft Comput., 2020

Practical Fast Gradient Sign Attack against Mammographic Image Classifier.
CoRR, 2020

Addressing Imbalanced Data Problem with Generative Adversarial Network For Intrusion Detection.
Proceedings of the 21st International Conference on Information Reuse and Integration for Data Science, 2020

2019
Expansion of Cyber Attack Data From Unbalanced Datasets Using Generative Techniques.
CoRR, 2019


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