Olivera Kotevska

According to our database, Olivera Kotevska authored at least 25 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications.

Yi Zhang, Yuying Zhao, Zhaoqing Li, Xueqi Cheng, Yu Wang, Olivera Kotevska, Philip S. Yu, Tyler Derr

IEEE Trans. Knowl. Data Eng., December, 2024

Dealing Doubt: Unveiling Threat Models in Gradient Inversion Attacks under Federated Learning, A Survey and Taxonomy.

Yichuan Shi, Olivera Kotevska, Viktor Reshniak, Abhishek Singh, Ramesh Raskar

CoRR, 2024

Improving Robustness of Spectrogram Classifiers with Neural Stochastic Differential Equations.

Joel Brogan, Olivera Kotevska, Anibely Torres, Sumit Jha, Mark Adams

Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024

Frequency Oracle for Sensitive Data Monitoring (Student Abstract).

Richard Sances, Olivera Kotevska, Paul Laiu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Energy-efficient cooperative resource allocation and task scheduling for Internet of Things environments.

Eyhab Al-Masri, Alireza Souri, Habiba Mohamed, Wenjun Yang, James Olmsted, Olivera Kotevska

Internet Things, October, 2023

Whitepaper on Reusable Hybrid and Multi-Cloud Analytics Service Framework.

Gregor von Laszewski, Wo L. Chang, Russell Reinsch, Olivera Kotevska, Ali Karimi, Abdul Rahman Sattar, Garry Mazzaferro, Geoffrey C. Fox

CoRR, 2023

2022

Analyzing Data Privacy for Edge Systems.

Olivera Kotevska, Jordan Johnson, A. Gilad Kusne

Proceedings of the 2022 IEEE International Conference on Smart Computing, 2022

PAS: Privacy Algorithms in Systems.

Philip S. Yu, Olivera Kotevska, Tyler Derr

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Privacy Amplification for Episodic Training Methods.

Vandy Tombs, Olivera Kotevska, Steven Young

Proceedings of the CIKM 2022 Workshops co-located with 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), 2022

Privacy policy robustness to reverse engineering.

A. Gilad Kusne, Olivera Kotevska

Proceedings of the CIKM 2022 Workshops co-located with 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), 2022

2021

Smoky Mountain Data Challenge 2021: An Open Call to Solve Scientific Data Challenges Using Advanced Data Analytics and Edge Computing.

Pravallika Devineni, Panchapakesan Ganesh, Nikhil Sivadas, Abhijeet Dhakane, Ketan Maheshwari, Drahomira Herrmannova, Ramakrishnan Kannan, Seung-Hwan Lim, Thomas E. Potok, Jordan B. Chipka, Priyantha Mudalige, Mark Coletti, Sajal Dash, Arnab Kumar Paul, Sarp Oral, Feiyi Wang, Bill Kay, Melissa R. Allen-Dumas, Christa Brelsford, Joshua R. New, Andy Berres, Kuldeep R. Kurte, Jibonananda Sanyal, Levi Sweet, Chathika Gunaratne, Maxim A. Ziatdinov, Rama K. Vasudevan, Sergei V. Kalinin, Olivera Kotevska, Jean C. Bilheux, Hassina Z. Bilheux, Garrett E. Granroth, Thomas Proffen, Rick Riedel, Peter F. Peterson, Shruti R. Kulkarni, Kyle P. Kelley, Stephen Jesse, Maryam Parsa

Proceedings of the Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation, 2021

Measurement of Local Differential Privacy Techniques for IoT-based Streaming Data.

Sharmin Afrose, Danfeng Daphne Yao, Olivera Kotevska

Proceedings of the 18th International Conference on Privacy, Security and Trust, 2021

Double Deep Q-Networks for Optimizing Electricity Cost of a Water Heater.

Kadir Amasyali, Kuldeep R. Kurte, Helia Zandi, Jeffrey Munk, Olivera Kotevska, Robert W. Smith

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2021

Effectiveness of Privacy Techniques in Smart Metering Systems.

Martin Peralta-Peterson, Olivera Kotevska

Proceedings of the International Conference on Computational Science and Computational Intelligence, 2021

Optimal Balance of Privacy and Utility with Differential Privacy Deep Learning Frameworks.

Olivera Kotevska, Folami Alamudun, Christopher B. Stanley

Proceedings of the International Conference on Computational Science and Computational Intelligence, 2021

2020

Smoky Mountain Data Challenge 2020: An Open Call to Solve Data Problems in the Areas of Neutron Science, Material Science, Urban Modeling and Dynamics, Geophysics, and Biomedical Informatics.

Suzanne Parete-Koon, Peter F. Peterson, Garrett E. Granroth, Wenduo Zhou, Pravallika Devineni, Nouamane Laanait, Junqi Yin, Albina Y. Borisevich, Ketan Maheshwari, Melissa R. Allen-Dumas, Srinath Ravulaparthy, Kuldeep R. Kurte, Jibo Sanyal, Anne Berres, Olivera Kotevska, Folami Alamudun, Keith Gray, Max Grossman, Anar Yusifov, Ioana Danciu, Gil Alterovitz, Dasha Herrmannova

Proceedings of the Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI, 2020

Activity Characterization for Modeling Behavioral-driven Human Mobility in Platial Networks.

Gautam S. Thakur, Olivera Kotevska

Proceedings of the LocalRec'20: Proceedings of the 4th ACM SIGSPATIAL Workshop on Location-Based Recommendations, 2020

Methodology for Interpretable Reinforcement Learning Model for HVAC Energy Control.

Olivera Kotevska, Jeffrey Munk, Kuldeep R. Kurte, Yan Du, Kadir Amasyali, Robert W. Smith, Helia Zandi

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Increasing city safety awareness regarding disruptive traffic stream.

Olivera Kotevska

CoRR, 2019

Kensor: Coordinated Intelligence from Co-Located Sensors.

Olivera Kotevska, Kalyan S. Perumalla, Juan Lopez Jr.

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Learning based event model for knowledge extraction and prediction system in the context of Smart City. (Un modèle de gestion d'évènements basé sur l'apprentissage pour un système d'extraction et de prédiction dans le contexte de Ville Intelligente).

Olivera Kotevska

PhD thesis, 2018

2017

Dynamic Network Model for Smart City Data-Loss Resilience Case Study: City-to-City Network for Crime Analytics.

Olivera Kotevska, A. Gilad Kusne, Daniel V. Samarov, Ahmed Lbath, Abdella Battou

IEEE Access, 2017

2016

Event model to facilitate data sharing among services: Closing the gap between research and implementation.

Olivera Kotevska, Ahmed Lbath, J. Gelernter

Proceedings of the 3rd IEEE World Forum on Internet of Things, 2016

Automatic Categorization of Social Sensor Data.

Olivera Kotevska, Sarala Padi, Ahmed Lbath

Proceedings of the 7th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2016)/The 6th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2016)/Affiliated Workshops, 2016

2015

Toward a Framework in Cloudlet-Based Architecture for a Real-Time Predictional Model.

Olivera Kotevska, Ahmed Lbath, Samia Bouzefrane

Proceedings of the 2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom), 2015