Publications

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. Exploiting epistemic uncertainty of the deep learning models to generate adversarial samples. arXiv:2102.04150 [cs.LG], 2021.

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. Data augmentation based malware detection using convolutional neural networks. PeerJ Computer Science, 2021.

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. Human-in-the-loop enhanced COVID-19 detection in Transfer Learning based CNN Models. Computational Intelligence for COVID-19 and Future Pandemics - Emerging Applications and Strategies, 2021.

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. Closeness and Uncertainty Aware Adversarial Examples Detection in Adversarial Machine Learning. arXiv:2012.06390 [cs.LG], 2020.

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. Malicious URL Detection Using Machine Learning. Artificial Intelligence Paradigms for Smart Cyber-Physical Systems, 2020.

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. Transfer Learning Based Convolutional Neural Network For COVID-19 Detection With X-Ray Images. Elsevier Data Science for COVID-19, 2020.

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. Practical Implementation of Privacy Preserving Clustering Methods Using a Partially Homomorphic Encryption Algorithm. MDPI Electronics, 2020.

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. Preventing Data Poisoning Attacks By Using Generative Models. 2019 1st International Informatics and Software Engineering Conference (UBMYK), 2019.

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. Distributed denial of service attack detection using autoencoder and deep neural networks. Journal of Intelligent & Fuzzy Systems, 2019.

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. Sensor Based Cyber Attack Detections in Critical Infrastructures Using Deep Learning Algorithms. Computer Science, 2019.

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

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. Incrementing Adversarial Robustness with Autoencoding for Machine Learning Model Attacks. 27th IEEE Signal Processing and Applications Conference, 2019.

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. Classification of Methamorphic Malware with Deep Learning (LSTM). 27th IEEE Signal Processing and Applications Conference, 2019.

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. Two-Layer Malicious Network Flow Detection System with Sparse Linear Model Based Feature Selection. Journal of the National Science Foundation of Sri Lanka, 2018.

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. CPP-ELM: Cryptographically Privacy-Preserving Extreme Learning Machine for Cloud Systems. International Journal of Computational Intelligence Systems, 2018.

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. Classification with boosting of extreme learning machine over arbitrarily partitioned data. Soft Computing, 2017.

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. Detection of Attack-Targeted Scans from The Apache HTTP Server Access Logs. Applied Computing and Informatics, 2017.

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. Detection of Distributed Denial of Service Attacks Using Deep Learning Technologies. In The 5th High Performance Computing Conference., 2017.

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. Detection of Distributed Denial of Service Attacks Based on Ensemble Methods. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 2017.

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. Privacy Preserving PageRank Algorithm By Using Secure Multi-Party Computation. arXiv:1611.01907, 2016.

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. A MapReduce-based distributed SVM algorithm for binary classification. Turkish Journal of Electrical Engineering and Computer Science, 2016.

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. Secure Multi-party Computation Based Privacy Preserving Extreme Learning Machine Algorithm Over Vertically Distributed Data. Springer Lecture Notes in Computer Science, 2015.

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. Robust Ensemble Classifier Combination Based on Noise Removal with One-Class SVM. Springer Lecture Notes in Computer Science, 2015.

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. CloudSVM: Training an SVM Classifier in Cloud Computing Systems. Springer - Lecture Notes in Computer Science, 2013.

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