Scientific outputs

Under Review (Preprints on arXiv)
Ordered by arXiv posting date, most recent first.

• SelfGrader: Stable Jailbreak Detection for Large Language Models using Token-Level Logits.
  Authors: Zikai Zhang, Rui Hu, Olivera Kotevska, Jiahao Xu.
  arXiv preprint, submitted April 2026.
• Automated Membership Inference Attacks: Discovering MIA Signal Computations using LLM Agents.
  Authors: Toan Tran, Olivera Kotevska, Li Xiong.
  arXiv preprint, submitted March 2026.
• Accuracy is Not Enough: Poisoning Interpretability in Federated Learning via Color Skew.
  Authors: Farhin Farhad Riya, Shahinul Hoque, Jinyuan Stella Sun, Olivera Kotevska.
  arXiv preprint, submitted November 2025.
• HEMERA: A Human-Explainable Transformer Model for Estimating Lung Cancer Risk using GWAS Data.
  Authors: Maria Mahbub, Robert J. Klein, Myvizhi Esai Selvan, Rowena Yip, Claudia Henschke, Providencia Morales, Ian Goethert, Olivera Kotevska, Mayanka Chandra Shekar, Sean R. Wilkinson, Eileen McAllister, Samuel M. Aguayo, Zeynep H. Gümüş, Ioana Danciu, VA Million Veteran Program.
  arXiv preprint, submitted October 2025.
• Dealing Doubt: Unveiling Threat Models in Gradient Inversion Attacks under Federated Learning, A Survey and Taxonomy.
  Authors: Yichuan Shi, Olivera Kotevska, Viktor Reshniak, Abhishek Singh, Ramesh Raskar.
  arXiv preprint, submitted May 2024.

Publications and White papers
2026

• XMark: Reliable Multi-Bit Watermarking for LLM-Generated Texts.
  Authors: Jiahao Xu, Rui Hu, Olivera Kotevska, Zikai Zhang.
  The 64th Annual Meeting of the Association for Computational Linguistics. [Code].
• Traceable Black-box Watermarks for Federated Learning.
  Authors: Jiahao Xu, Rui Hu, Olivera Kotevska, Zikai Zhang.
  The Fourteenth International Conference on Learning Representations (ICLR). [Code].
• Selective Amnesia using Contrastive Subnet Erasure for Class Level Unlearning in Vision Models.
  Authors: V. Pramanik, M. Maliha, S. Jha, A. Velasquez, Olivera Kotevska, S. K. Jha.
  The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). [Code].
• CTRL-STEER: Closed-Loop Neuron Activation Control in Vision-Language-Action Models.
  Authors: A. Babu, R. Kaur, N. Bastian, Olivera Kotevska, S. Jha, Y. Wu, S. Jha, A. Roy.
  Visual Concepts Workshop at the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
• Scalable Federated Learning for Scientific Foundation Models on Leadership-Class Systems.
  Authors: Olivera Kotevska, Trong Nguyen, Rafael Ferreira da Silva, Christian Engelmann, Prasanna Balaprakash.
  The 6th Workshop on Machine Learning and Systems (EuroMLSys) co-located with EuroSys.
• Energy–Performance Trade-offs in Federated Learning with SmartNIC-Enabled Communication on HPC Systems.
  Authors: Olivera Kotevska, T. Nguyen, O. Hernandez.
  The Sixteenth International Workshop on Accelerators and Hybrid Emerging Systems co-located with 40th IEEE International Parallel and Distributed Processing Symposium (IPDPSW).
• DP-TwoLevel: Two-Stage Gradient Subspace Learning for Differentially Private Federated Learning.
  Authors: Olivera Kotevska, R. Patton, S. Jha, Prasanna Balaprakash.
  SPIE Conference on Assurance and Security for AI-enabled Systems.
• Optimal Client Sampling in Federated Learning with Client-level Heterogeneous Differential Privacy.
  Authors: Jiahao Xu, Rui Hu, Olivera Kotevska.
  IEEE Internet of Things Journal. [Code].
• SPUN: Spectral Projection--based UNlearning in Hyperdimensional Computing.
  Authors: V. Pramanik, Olivera Kotevska, A. Velasquez, A. Jha, K. S. Jha.
  AAAI Workshop on Artificial Intelligence for Cyber Security.
• The Security of Reinforcement Learning Systems in Electric Grid Domain.
  Authors: S. Rath, Z. Abdeen, Olivera Kotevska, V. Reshniak, V. Singh.
  IEEE-Wiley Book AI for Cybersecurity: Research and Practice [Book chapter].
• Robust AI Techniques to Support High Consequence Applications in the Cyber Age.
  Authors: J. Brogan, L. Passarella, M. Adams, B. Phathanapirom, N. Martindale, Olivera Kotevska, M. Yohe, R. Kerekes, S. Stewart.
  IEEE-Wiley Book AI for Cybersecurity: Research and Practice [Book chapter].
• Federated neuromorphic computing in distributed edge environments.
  Authors: S. Lim, Olivera Kotevska, A. Gautam.
  2026 Energy Consequences of Information Workshop [White paper].

2025

• Engineering Privacy at the Edge: A Practical Guide to Differential Privacy in System Architectures.
  Authors: Olivera Kotevska, W. Yang, E. Al-Masri.
  The 43rd IEEE International Conference on Computer Design (ICCD). [Code].
• OmniFed: A Modular Framework for Configurable Federated Learning from Edge to HPC.
  Authors: Sahil Tyagi, Andrei Cozma, Olivera Kotevska, Feiyi Wang.
  ACM/IEEE Supercomputing Workshop on Extreme Heterogeneity and AI Convergence in HPC. [Code].
• MIC-DP: A Scalable Correlation-Aware Differential Privacy Framework for Edge AI and High-Dimensional Data.
  Authors: W. Yang, E. Al-Masri, Olivera Kotevska.
  IEEE Transactions on Privacy. [Code].
• Enhancing Smart Home Privacy: A Tutorial on Local Differential Privacy Techniques for Frequency and Mean Estimation.
  Authors: Olivera Kotevska, X. He, E. Al-Masri.
  IEEE Communications Magazine.
• Privacy Preservation from High-Performance Computing to Autonomous Science.
  Authors: Olivera Kotevska.
  IEEE Computational Intelligence Magazine.
• Balancing Trade-offs: Adaptive Differential Privacy in Interpretable Machine Learning Models.
  Authors: Farhin Farhad Riya, Shahinul Hoque, Yingyuan Yang, Jinyuan Sun, Olivera Kotevska.
  IEEE Conference on Privacy, Security, and Trust (PST).
• Privacy-Preserving Federated Learning for Science: Challenges and Research Directions.
  Authors: K. Kim, K. Raghavan, Olivera Kotevska, M. Dorier, R. Madduri, M. Ryu, et al., F. Yousefian.
  The 13th IEEE International Conference on Big Data (IEEE BigData).
• Dynamical Sketching for Enhanced Communication Efficiency in Federated Learning.
  Authors: S. Afrose, Olivera Kotevska.
  IEEE International Conference on Artificial Intelligence.

2024

• Privacy by Design in Distributed Edge Systems: Innovating Secure Workflows for Smart Cities
  Authors: Olivera Kotevska.
  IEEE Smart Cities Newsletter.
• Improving Robustness of Spectrogram Classifiers with Neural Stochastic Differential Equations
  Authors: Joel Brogan, Olivera Kotevska, Anibely Torres, Sumit Jha, Mark Adams.
  IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP).
• A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications
  Authors: Yi Zhang, Yuying Zhao, Zhaoqing Li, Xueqi Cheng, Yu Wang, Olivera Kotevska, Philip S. Yu, Tyler Derr.
  IEEE Transactions on Knowledge and Data Engineering. [Repository].
• Frequency Oracles for Sensitive Data Monitoring
  Authors: Richard Sances, Olivera Kotevska, Paul Laiu.
  Association for the Advancement of Artificial Intelligence (AAAI) Conference.
• Oak Ridge National Laboratory's Strategic Research and Development Insights for Digital Twins
  Authors: A. Al Najjar, V. Anantharaj, D. Asthagiri, V. Badalassi, P. Balaprakash, T. Beck, et al., Olivera Kotevska, et al., A. Ziabari, and others.
  Office of Science and Technology Policy (OSTP) [White paper].
• Oak Ridge National Laboratory’s response to DOE's Responsibilities on Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence
  Office of Science and Technology Policy (OSTP) [White paper].

2023

• A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications
  Authors: Yi Zhang, Yuying Zhao, Zhaoqing Li, Xueqi Cheng, Yu Wang, Olivera Kotevska, Philip S. Yu, Tyler Derr.
  Preprint. GitHub page.
• Energy-Efficient Cooperative Resource Allocation and Task Scheduling for Internet of Things Environments
  Authors: E. Al-Masri, A. Souri, H. Mohamed, W. Yang, J. Olmsted, Olivera Kotevska.
  Elsevier - Internet of Things.
• Reusable Hybrid and Multi-Cloud Analytics Service Framework
  Authors: Gregor von Laszewski, Wo Chang, Russell Reinsch, Olivera Kotevska, Ali Karimi, Abdul Rahman Sattar, Garry Mazzaferro, Geoffrey C. Fox.
  Preprint. [White paper].

2022

• A Multi-Objective Approach for Optimizing Edge-based Resource Allocation using TOPSIS
  Authors: Habiba Mohamed, Eyhab Al-Masri, Olivera Kotevska, Alireza Souri.
  MDPI Electronics.
• Investigating Users Privacy Concerns of Internet of Things (IoT) Smart Devices
  Authors: D. Joy, Olivera Kotevska, E. Al-Masri.
  IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE).
• PAS: Privacy Algorithms in Systems
  Authors: Philip S. Yu, Olivera Kotevska, Tyler Derr.
  ACM International Conference on Information & Knowledge Management (CIKM).
• Analyzing Data Privacy for Edge Systems
  Authors: Olivera Kotevska, J. Johnson, A. G. Kusne.
  IEEE International Conference on Smart Computing (SMARTCOMP).
• Privacy Amplification for Episodic Training Methods
  Authors: Vandy Tombs, Olivera Kotevska, Steven Young.
  ACM CIKM Workshop on Privacy Algorithms in System.
• Robustness of privacy policies to reverse engineering
  Authors: Aaron Gilad Kusne, Olivera Kotevska.
  ACM CIKM Workshop on Privacy Algorithms in System.
• Reinforcement Learning for Intelligent Building Energy Management System Control
  Authors: Olivera Kotevska, P. Andelfinger.
  Intelligent Data Mining and Analysis in Power and Energy Systems: Models and Applications for Smarter Efficient Power Systems [Book chapter].
• Comments on Advancing Privacy-Enhancing Technologies
  Office of Science and Technology Policy (OSTP) [White paper].
• ORNL Microelectronics LDRD Initiative Deep Dive
  ORNL Internal [White paper].

2021

• Measurement of Local Differential Privacy Techniques for IoT-based Streaming Data
  Authors: S. Afrose, D. D. Yao, Olivera Kotevska.
  IEEE Conference on Privacy, Security, and Trust (PST).
• Optimal Balance of Privacy and Utility with Differential Privacy Deep Learning Frameworks
  Authors: Olivera Kotevska, F. Alamudun, C. Stanley.
  IEEE International Conference on Computational Science and Computational Intelligence (CSCI).
• Effectiveness of Privacy Techniques in Smart Metering Systems
  Authors: M. Peralta-Peterson, Olivera Kotevska.
  IEEE International Conference on Computational Science and Computational Intelligence (CSCI).
• Methodology for interpretable reinforcement learning model for HVAC energy control
  Authors: Olivera Kotevska, J. Munk, K. Kurte, Y. Du, K. Amasyali, R. W. Smith, H. Zandi.
  IEEE International Conference on Big Data. Best paper runner up.
• Double Deep Q-Networks for Optimizing Electricity Cost of a Water Heater
  Authors: K. Amasyali, K. Kurte, H. Zandi, J. Munk, Olivera Kotevska, R. Smith.
  IEEE PES Innovative Smart Grid Technologies (ISGT).
• A pre-training and self-training approach for biomedical named entity recognition.
  Authors: Shang Gao, Olivera Kotevska, Alexandre Sorokine, J. Blair Christian.
  PLOS One
• Challenges in Automated Detection of COVID-19 Misinformation
  Authors: Dasha Herrmannova, Gautam Thakur, Olivera Kotevska, Josh Grant, Varisara Tansakul, Bryan Eaton, Jordan Burdette, Martin Smyth, Monica Smith.
  ACM Workshop on Human Aspects of Misinformation Online.
• Multi-task deep reinforcement learning for intelligent multi-zone residential HVAC control
  Authors: Y. Du, F. Li, J. Munk, K. Kurte, Olivera Kotevska, K. Amasyali, H. Zandi.
  Elsevier - Electric Power Systems Research.
• Intelligent multi-zone residential HVAC control strategy based on deep reinforcement learning
  Authors: Y. Du, H. Zandi, Olivera Kotevska, K. Kurte, J. Munk, F. Li.
  Elsevier - Applied Energy. Awarded highly cited research paper.
• An Open Call to Solve Scientific Data Challenges Using Advanced Data Analytics and Edge Computing
  Springer - Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation.
• Challenges with Sensitive Data in Distributed Graph
  Authors: Olivera Kotevska, C. Stanley, R. Michael, B. Kay, A. Sarwate, R. Kannan, G. Tourassi.
  DOE ASCR Workshop on Cybersecurity and Privacy for Scientific Computing Ecosystems [White paper].
• Addressing the Limitations to Distributed Learning Containing Sensitive Data
  Authors: J. R. Michael, C. Stanley, R. Adamson, Olivera Kotevska.
  DOE ASCR Workshop on Cybersecurity and Privacy for Scientific Computing Ecosystems [White paper].

2020

• Electricity Pricing Aware Deep Reinforcement Learning based Intelligent HVAC Control
  Authors: Kuldeep Kurte, Jeffrey Munk, Kadir Amasyali, Olivera Kotevska, Borui Cui, Teja Kuruganti, Helia Zandi.
  ACM SENSYS Workshop on Reinforcement Learning for Energy Management in Buildings & Cities.
• Activity Characterization for Modeling Behavior-driven Human Mobility in Platial Network
  Authors: Gautam Thakur, Olivera Kotevska.
  ACM SIGSPATIAL Workshop on Location-Based Recommendations, Geosocial Networks, and Geoadvertising.
• A Novel Vetting Approach to Cybersecurity Verification in Energy Grid Systems
  Authors: K. Perumalla, J. Lopez, M. Alam, Olivera Kotevska, M. Hempel, H. Sharif.
  IEEE Kansas Power and Energy Conference (KPEC).
• RL-HEMS: Reinforcement Learning-based Home Energy Management System for HVAC Energy Optimization
  Authors: Olivera Kotevska, Kuldeep Kurte, Travis Johnston, Jeffrey Munk, Evan McKee, Kalyan Perumalla, Helia Zandi.
  ASHRAE Winter Conference.
• Deep reinforcement learning for residential HVAC control with consideration of human occupancy
  Authors: E. McKee, Y. Du, F. Li, J. Munk, T. Johnston, K. Kurte, et al., H. Zandi.
  IEEE Power & Energy Society General Meeting (PESGM).
• Evaluating the Adaptability of Reinforcement Learning based HVAC Control for Residential Homes
  Authors: Kuldeep Kurte, Jeffrey Munk, Olivera Kotevska, Kadir Amasyali, Robert Smith, Evan McKee, Yan Du, Borui Cui, Teja Kuruganti, Helia Zandi.
  MDPI Sustainability.
• 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
  Springer - Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI.
• AI-based Approach for Advancing the Understanding of Spatiotemporal Drought Characteristics
  DOE Artificial Intelligence for Earth System Predictability (AI4ESP) Workshop [White paper].

2019 and before

• Kensor: Coordinated Intelligence from Co-Located Sensors
  Authors: Olivera Kotevska, K. Perumalla, J. Lopez.
  IEEE International Conference on Big Data, 2019.
• Dynamic Network Model for Smart City Data-loss Resilience
  Authors: Olivera Kotevska, G. A. Kusne, V. D. Samarov, A. Lbath, A. Battou.
  IEEE Access - Advanced Data Analytics for Large-scale Complex Data Environments, 2018.
• Sentiment analysis of Social Sensors for improvement of local services improvement
  Authors: Olivera Kotevska, A. Lbath.
  International Journal of Computing and Digital Systems (IJCDS), 2017.
• Toward a Real-Time Framework in Cloudlet-Based Architecture
  Authors: Olivera Kotevska, A. Lbath, S. Bouzefrane.
  Tsinghua Science and Technology Journal, 2016.
• Event model to facilitate Data Sharing Among Services
  Authors: Olivera Kotevska, J. Gelernter, A. Lbath.
  IEEE World Forum Internet of Things (WF-IoT), 2016.
• Automatic Categorization of Social Sensor Data
  Authors: Olivera Kotevska, S. Padi, A. Lbath.
  Elsevier - Procedia Computer Science, 2016.
• Toward a Framework for Cloudlet-Based Architecture for a Real-Time Prediction Models
  Authors: Olivera Kotevska, A. Lbath, S. Bouzefrane.
  IEEE International Conference on Ubiquitous Intelligence and Computing (UIC), 2015.
• Continuous real-time monitoring of patient's vital signs based on ZigBee standard
  Authors: S. Koceski, Olivera Kotevska, E. Vlahu-Gjorgievska, V. Trajkovic.
  International Journal of Informatics and Communication Technology (IJ-ICT), 2014.
• Using ZigBee low-power wireless standard for monitoring patients' signs
  Authors: Olivera Kotevska, E. Vlahu-Gjorgievska, S. Koceski.
  Elsevier - Information and Communication Technology (ICT) Innovation, 2013.
• Collaboration Model within Personal Healthcare System
  Authors: E. V. Gjorgievska, Olivera Kotevska, V. Trajkovik.
  International Conference Information Systems & Grid Technologies (ISGT), 2012.
• Towards a patient-centered collaborative health care system model
  Authors: Olivera Kotevska, E. Vlahu-Gjorgievska, V. Trajkovic, S. Koceski.
  International Journal of Computer Theory and Engineering (IJCTE), 2012.
• COHESY - Collaborative Health Care System Model
  Authors: Olivera Kotevska, E. Vlahu-Gjorgievska, V. Trajkovik.
  International Conference on Informatics and Information Technologies (CIIT), 2011.