Olivera Kotevska

43 papers A* 1A 1B 5C 3Journal 16Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Automated Membership Inference Attacks: Discovering MIA Signal Computations using LLM Agents. CoRR Toan Tran, Olivera Kotevska, Li Xiong
2026	—	`conf`	Scalable Federated Learning for Scientific Foundation Models on Leadership-Class Systems. EuroMLSys@EuroSys Olivera Kotevska, Trong Nguyen, Rafael Ferreira da Silva, Christian Engelmann, Prasanna Balaprakash
2025	J	`jnl`	Accuracy is Not Enough: Poisoning Interpretability in Federated Learning via Color Skew. CoRR Farhin Farhad Riya, Shahinul Hoque, Jinyuan Stella Sun, Olivera Kotevska
2025	C	`conf`	Balancing Trade-offs: Adaptive Differential Privacy in Interpretable Machine Learning Models. PST Farhin Farhad Riya, Shahinul Hoque, Yingyuan Yang, Jinyuan Sun, Olivera Kotevska
2025	—	`conf`	Dynamical Sketching for Enhanced Communication Efficiency in Federated Learning. CAI Sharmin Afrose, Olivera Kotevska
2025	C	`conf`	Engineering Privacy at the Edge: A Practical Guide to Differential Privacy in System Architectures. ICCD Olivera Kotevska, Wenjun Yang, Eyhab Al-Masri
2025	J	`jnl`	Enhancing Smart Home Privacy: A Tutorial on Local Differential Privacy Techniques for Frequency and Mean Estimation. IEEE Commun. Mag. Olivera Kotevska, Xi He, Eyhab Al-Masri
2025	J	`jnl`	HEMERA: A Human-Explainable Transformer Model for Estimating Lung Cancer Risk using GWAS Data. CoRR Maria Mahbub, Robert J. Klein, Myvizhi Esai Selvan, Rowena Yip, Claudia I. Henschke, Providencia Morales, Ian Goethert, Olivera Kotevska, Mayanka Chandra Shekar, Sean R. Wilkinson, Eileen McAllister, Samuel M. Aguayo, Zeynep H. Gümüs, Ioana Danciu, VA Million Veteran Program
2025	—	`conf`	OmniFed: A Modular Framework for Configurable Federated Learning from Edge to HPC. SC Workshops Sahil Tyagi, Andrei Cozma, Olivera Kotevska, Feiyi Wang
2025	J	`jnl`	OmniFed: A Modular Framework for Configurable Federated Learning from Edge to HPC. CoRR Sahil Tyagi, Andrei Cozma, Olivera Kotevska, Feiyi Wang
2025	J	`jnl`	Optimal Client Sampling in Federated Learning with Client-Level Heterogeneous Differential Privacy. CoRR Jiahao Xu, Rui Hu, Olivera Kotevska
2025	J	`jnl`	Privacy Preservation from High-Performance Computing to Autonomous Science [Industrial and Governmental Activities]. IEEE Comput. Intell. Mag. Olivera Kotevska
2025	J	`jnl`	Traceable Black-box Watermarks for Federated Learning. CoRR Jiahao Xu, Rui Hu, Olivera Kotevska, Zikai Zhang
2024	J	`jnl`	A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications. IEEE Trans. Knowl. Data Eng. Yi Zhang, Yuying Zhao, Zhaoqing Li, Xueqi Cheng, Yu Wang, Olivera Kotevska, Philip S. Yu, Tyler Derr
2024	B	`conf`	Assessing Membership Inference Attacks under Distribution Shifts. IEEE Big Data Yichuan Shi, Olivera Kotevska, Viktor Reshniak, Amir Sadovnik
2024	J	`jnl`	Dealing Doubt: Unveiling Threat Models in Gradient Inversion Attacks under Federated Learning, A Survey and Taxonomy. CoRR Yichuan Shi, Olivera Kotevska, Viktor Reshniak, Abhishek Singh, Ramesh Raskar
2024	A*	`conf`	Frequency Oracle for Sensitive Data Monitoring (Student Abstract). AAAI Richard Sances, Olivera Kotevska, Paul Laiu
2024	—	`conf`	Improving Robustness of Spectrogram Classifiers with Neural Stochastic Differential Equations. MLSP Joel Brogan, Olivera Kotevska, Anibely Torres, Sumit Jha, Mark Adams
2024	J	`jnl`	Improving Robustness of Spectrogram Classifiers with Neural Stochastic Differential Equations. CoRR Joel Brogan, Olivera Kotevska, Anibely Torres, Sumit Jha, Mark Adams
2024	B	`conf`	Privacy-Preserving Federated Learning for Science: Challenges and Research Directions. IEEE Big Data Kibaek Kim, Krishnan Raghavan, Olivera Kotevska, Matthieu Dorier, Ravi K. Madduri, Minseok Ryu, Todd S. Munson, Robert Ross, Thomas Flynn, Ai Kagawa, Byung-Jun Yoon, Christian Engelmann, Farzad Yousefian
2023	J	`jnl`	A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications. CoRR Yi Zhang, Yuying Zhao, Zhaoqing Li, Xueqi Cheng, Yu Wang, Olivera Kotevska, Philip S. Yu, Tyler Derr
2023	J	`jnl`	Energy-efficient cooperative resource allocation and task scheduling for Internet of Things environments. Internet Things Eyhab Al-Masri, Alireza Souri, Habiba Mohamed, Wenjun Yang, James Olmsted, Olivera Kotevska
2023	J	`jnl`	Whitepaper on Reusable Hybrid and Multi-Cloud Analytics Service Framework. CoRR Gregor von Laszewski, Wo L. Chang, Russell Reinsch, Olivera Kotevska, Ali Karimi, Abdul Rahman Sattar, Garry Mazzaferro, Geoffrey C. Fox
2022	B	`conf`	Analyzing Data Privacy for Edge Systems. SMARTCOMP Olivera Kotevska, Jordan Johnson, Aaron Gilad Kusne
2022	A	`conf`	PAS: Privacy Algorithms in Systems. CIKM Philip S. Yu, Olivera Kotevska, Tyler Derr
2022	—	`conf`	Privacy Amplification for Episodic Training Methods. CIKM Workshops Vandy Tombs, Olivera Kotevska, Steven Young
2022	—	`conf`	Privacy policy robustness to reverse engineering. CIKM Workshops Aaron Gilad Kusne, Olivera Kotevska
2021	—	`conf`	Double Deep Q-Networks for Optimizing Electricity Cost of a Water Heater. ISGT Kadir Amasyali, Kuldeep R. Kurte, Helia Zandi, Jeffrey Munk, Olivera Kotevska, Robert W. Smith
2021	—	`conf`	Effectiveness of Privacy Techniques in Smart Metering Systems. CSCI Martin Peralta-Peterson, Olivera Kotevska
2021	C	`conf`	Measurement of Local Differential Privacy Techniques for IoT-based Streaming Data. PST Sharmin Afrose, Danfeng Daphne Yao, Olivera Kotevska
2021	—	`conf`	Optimal Balance of Privacy and Utility with Differential Privacy Deep Learning Frameworks. CSCI Olivera Kotevska, Folami Alamudun, Christopher B. Stanley
2021	B	`conf`	Smoky Mountain Data Challenge 2021: An Open Call to Solve Scientific Data Challenges Using Advanced Data Analytics and Edge Computing. SMC 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
2020	—	`ed.`	2020 IEEE International Conference on Big Data (IEEE BigData 2020), Atlanta, GA, USA, December 10-13, 2020 IEEE BigData Xintao Wu, Chris Jermaine, Li Xiong, Xiaohua Hu, Olivera Kotevska, Siyuan Lu, Weija Xu, Srinivas Aluru, ChengXiang Zhai, Eyhab Al-Masri, Zhiyuan Chen, Jeff Saltz
2020	—	`conf`	Activity Characterization for Modeling Behavioral-driven Human Mobility in Platial Networks. LocalRec@SIGSPATIAL Gautam S. Thakur, Olivera Kotevska
2020	—	`conf`	Methodology for Interpretable Reinforcement Learning Model for HVAC Energy Control. IEEE BigData Olivera Kotevska, Jeffrey Munk, Kuldeep R. Kurte, Yan Du, Kadir Amasyali, Robert W. Smith, Helia Zandi
2020	B	`conf`	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. SMC 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
2019	J	`jnl`	Increasing city safety awareness regarding disruptive traffic stream. CoRR Olivera Kotevska
2019	—	`conf`	Kensor: Coordinated Intelligence from Co-Located Sensors. IEEE BigData Olivera Kotevska, Kalyan S. Perumalla, Juan Lopez Jr.
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
2017	J	`jnl`	Dynamic Network Model for Smart City Data-Loss Resilience Case Study: City-to-City Network for Crime Analytics. IEEE Access Olivera Kotevska, Aaron Gilad Kusne, Daniel V. Samarov, Ahmed Lbath, Abdella Battou
2016	—	`conf`	Automatic Categorization of Social Sensor Data. EUSPN/ICTH Olivera Kotevska, Sarala Padi, Ahmed Lbath
2016	—	`conf`	Event model to facilitate data sharing among services: Closing the gap between research and implementation. WF-IoT Olivera Kotevska, Ahmed Lbath, J. Gelernter
2015	—	`conf`	Toward a Framework in Cloudlet-Based Architecture for a Real-Time Predictional Model. UIC/ATC/ScalCom Olivera Kotevska, Ahmed Lbath, Samia Bouzefrane