Ferhat Özgür Çatak
Orcid: 0000-0002-2434-9966Affiliations:
- Istanbul University, Turkey
According to our database1,
Ferhat Özgür Çatak
authored at least 54 papers
between 2012 and 2023.
Collaborative distances:
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Bibliography
2023
A Practical Implementation of Medical Privacy-Preserving Federated Learning Using Multi-Key Homomorphic Encryption and Flower Framework.
Cryptogr., September, 2023
Adversarial security mitigations of mmWave beamforming prediction models using defensive distillation and adversarial retraining.
Int. J. Inf. Sec., April, 2023
Modelling and Design of Pre-Equalizers for a Fully Operational Visible Light Communication System.
Sensors, 2023
Int. J. Inf. Sec., 2023
Defending AI-Based Automatic Modulation Recognition Models Against Adversarial Attacks.
IEEE Access, 2023
A Cryptographic Federated Learning-Based Channel Estimation for Next-Generation Networks.
Proceedings of the 2023 IEEE Virtual Conference on Communications (VCC), 2023
Proceedings of the 12th Mediterranean Conference on Embedded Computing, 2023
Uncertainty Aware Deep Learning Model for Secure and Trustworthy Channel Estimation in 5G Networks.
Proceedings of the 12th Mediterranean Conference on Embedded Computing, 2023
Proceedings of the 2023 European Interdisciplinary Cybersecurity Conference, 2023
Proceedings of the 2023 European Interdisciplinary Cybersecurity Conference, 2023
5G-SRNG: 5G Spectrogram-based Random Number Generation for Devices with Low Entropy Sources.
Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2023
2022
Uncertainty-aware Prediction Validator in Deep Learning Models for Cyber-physical System Data.
ACM Trans. Softw. Eng. Methodol., 2022
Security concerns on machine learning solutions for 6G networks in mmWave beam prediction.
Phys. Commun., 2022
Exploiting epistemic uncertainty of the deep learning models to generate adversarial samples.
Multim. Tools Appl., 2022
CoRR, 2022
Defensive Distillation based Adversarial Attacks Mitigation Method for Channel Estimation using Deep Learning Models in Next-Generation Wireless Networks.
CoRR, 2022
Closeness and uncertainty aware adversarial examples detection in adversarial machine learning.
Comput. Electr. Eng., 2022
Security Hardening of Intelligent Reflecting Surfaces Against Adversarial Machine Learning Attacks.
IEEE Access, 2022
Defensive Distillation-Based Adversarial Attack Mitigation Method for Channel Estimation Using Deep Learning Models in Next-Generation Wireless Networks.
IEEE Access, 2022
Mitigating Attacks on Artificial Intelligence-based Spectrum Sensing for Cellular Network Signals.
Proceedings of the IEEE Globecom 2022 Workshops, 2022
Homomorphic Encryption and Federated Learning based Privacy-Preserving CNN Training: COVID-19 Detection Use-Case.
Proceedings of the EICC 2022: European Interdisciplinary Cybersecurity Conference, Barcelona, Spain, June 15, 2022
Unreasonable Effectiveness of Last Hidden Layer Activations for Adversarial Robustness.
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022
A Streamlit-based Artificial Intelligence Trust Platform for Next-Generation Wireless Networks.
Proceedings of the 2022 IEEE Future Networks World Forum, 2022
2021
PeerJ Comput. Sci., 2021
A Generative Model based Adversarial Security of Deep Learning and Linear Classifier Models.
Informatica (Slovenia), 2021
A secure and efficient Internet of Things cloud encryption scheme with forensics investigation compatibility based on identity-based encryption.
Future Gener. Comput. Syst., 2021
Secure Multi-Party Computation based Privacy Preserving Data Analysis in Healthcare IoT Systems.
CoRR, 2021
Security Concerns on Machine Learning Solutions for 6G Networks in mmWave Beam Prediction.
CoRR, 2021
Internet of Predictable Things (IoPT) Framework to Increase Cyber-Physical System Resiliency.
CoRR, 2021
Adversarial Machine Learning Security Problems for 6G: mmWave Beam Prediction Use-Case.
Proceedings of the 2021 IEEE International Black Sea Conference on Communications and Networking, 2021
Prediction Surface Uncertainty Quantification in Object Detection Models for Autonomous Driving.
Proceedings of the 2021 IEEE International Conference on Artificial Intelligence Testing, 2021
2020
Deep learning based Sequential model for malware analysis using Windows exe API Calls.
PeerJ Comput. Sci., 2020
Deep Neural Network Based Malicious Network Activity Detection Under Adversarial Machine Learning Attacks.
Proceedings of the Intelligent Technologies and Applications, 2020
2019
Distributed denial of service attack detection using autoencoder and deep neural networks.
J. Intell. Fuzzy Syst., 2019
Sensor Based Cyber Attack Detections in Critical Infrastructures Using Deep Learning Algorithms.
Comput. Sci., 2019
Proceedings of the 27th Signal Processing and Communications Applications Conference, 2019
Incrementing Adversarial Robustness with Autoencoding for Machine Learning Model Attacks.
Proceedings of the 27th Signal Processing and Communications Applications Conference, 2019
2018
CPP-ELM: Cryptographically Privacy-Preserving Extreme Learning Machine for Cloud Systems.
Int. J. Comput. Intell. Syst., 2018
2017
Classification with boosting of extreme learning machine over arbitrarily partitioned data.
Soft Comput., 2017
2016
CoRR, 2016
Privacy preserving extreme learning machine classification model for distributed systems.
Proceedings of the 24th Signal Processing and Communication Application Conference, 2016
2015
Classification with Extreme Learning Machine and ensemble algorithms over randomly partitioned data.
Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015
Secure Multi-party Computation Based Privacy Preserving Extreme Learning Machine Algorithm Over Vertically Distributed Data.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015
Proceedings of the Neural Information Processing - 22nd International Conference, 2015
2014
Bulut bilişim sistemlerinde eşle/indirge yöntemi uygulanarak veri madenciliği yazılım çatısının geliştirilmesi (Development of data mining software framework by using map/reduce method in cloud computing systems)
PhD thesis, 2014
Polarization Measurement of High Dimensional Social Media Messages With Support Vector Machine Algorithm Using Mapreduce.
CoRR, 2014
2013
2012
Proceedings of the Pervasive Computing and the Networked World, 2012