Ferhat Özgür Çatak

Orcid: 0000-0002-2434-9966

Affiliations:
  • Istanbul University, Turkey


According to our database1, Ferhat Özgür Çatak authored at least 63 papers between 2012 and 2024.

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

Timeline

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Bibliography

2024
Trustworthy cyber-physical power systems using AI: dueling algorithms for PMU anomaly detection and cybersecurity.
Artif. Intell. Rev., July, 2024

Neural Networks Meet Elliptic Curve Cryptography: A Novel Approach to Secure Communication.
CoRR, 2024

Uncertainty Quantification in Large Language Models Through Convex Hull Analysis.
CoRR, 2024

Flexible and Lightweight Mitigation Framework for Distributed Denial-of-Service Attacks in Container-Based Edge Networks Using Kubernetes.
IEEE Access, 2024

Radar Emitter Localization Based on Multipath Exploitation Using Machine Learning.
IEEE Access, 2024

Automatic Modulation Recognition Using Parallel Feature Extraction Architecture.
Proceedings of the Wireless Artificial Intelligent Computing Systems and Applications, 2024

A Benchmark for ML-based Solar Power Generation Forecasting Models.
Proceedings of the 13th Mediterranean Conference on Embedded Computing, 2024

A Federated Adversarial Learning Approach for Robust Spectrum Sensing.
Proceedings of the 13th Mediterranean Conference on Embedded Computing, 2024

Emerging Technologies for Privacy Preservation in Energy Systems.
Proceedings of the European Interdisciplinary Cybersecurity Conference, 2024

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

TENET: a new hybrid network architecture for adversarial defense.
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

The Rise of Generative Artificial Intelligence in Healthcare.
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

Cybersecurity and Digital Privacy Aspects of V2X in the EV Charging Structure.
Proceedings of the 2023 European Interdisciplinary Cybersecurity Conference, 2023

Cyber-physical Hardening of the Digital Water Infrastructure.
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
Malware API Call Dataset.
Dataset, May, 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

BFV-Based Homomorphic Encryption for Privacy-Preserving CNN Models.
Cryptogr., 2022

Anomaly Detection in Power Markets and Systems.
CoRR, 2022

Hybrid AI-based Anomaly Detection Model using Phasor Measurement Unit Data.
CoRR, 2022

Defensive Distillation based Adversarial Attacks Mitigation Method for Channel Estimation using Deep Learning Models in Next-Generation Wireless Networks.
CoRR, 2022

Unreasonable Effectiveness of Last Hidden Layer Activations.
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
Data augmentation based malware detection using convolutional neural networks.
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
Password-based encryption approach for securing sensitive data.
Secur. Priv., 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

A Benchmark API Call Dataset for Windows PE Malware Classification.
CoRR, 2019

Sensor Based Cyber Attack Detections in Critical Infrastructures Using Deep Learning Algorithms.
Comput. Sci., 2019

Classification of Methamorphic Malware with Deep Learning(LSTM).
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
Privacy Preserving PageRank Algorithm By Using Secure Multi-Party Computation.
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

Robust Ensemble Classifier Combination Based on Noise Removal with One-Class SVM.
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
A MapReduce based distributed SVM algorithm for binary classification.
CoRR, 2013

2012
CloudSVM: Training an SVM Classifier in Cloud Computing Systems.
Proceedings of the Pervasive Computing and the Networked World, 2012


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