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Olivera Kotevska
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2020 – today
- 2024
- [c17]Richard Sances, Olivera Kotevska, Paul Laiu:
Frequency Oracle for Sensitive Data Monitoring (Student Abstract). AAAI 2024: 23642-23643 - [i4]Yichuan Shi, Olivera Kotevska, Viktor Reshniak, Abhishek Singh, Ramesh Raskar:
Dealing Doubt: Unveiling Threat Models in Gradient Inversion Attacks under Federated Learning, A Survey and Taxonomy. CoRR abs/2405.10376 (2024) - 2023
- [j2]Eyhab Al-Masri
, Alireza Souri
, Habiba Mohamed, Wenjun Yang, James Olmsted, Olivera Kotevska:
Energy-efficient cooperative resource allocation and task scheduling for Internet of Things environments. Internet Things 23: 100832 (2023) - [i3]Yi Zhang, Yuying Zhao, Zhaoqing Li, Xueqi Cheng, Yu Wang, Olivera Kotevska, Philip S. Yu, Tyler Derr
:
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications. CoRR abs/2308.16375 (2023) - [i2]Gregor von Laszewski, Wo L. Chang, Russell Reinsch, Olivera Kotevska, Ali Karimi, Abdul Rahman Sattar, Garry Mazzaferro, Geoffrey C. Fox:
Whitepaper on Reusable Hybrid and Multi-Cloud Analytics Service Framework. CoRR abs/2310.17013 (2023) - 2022
- [c16]A. Gilad Kusne, Olivera Kotevska:
Privacy policy robustness to reverse engineering. CIKM Workshops 2022 - [c15]Vandy Tombs, Olivera Kotevska, Steven Young:
Privacy Amplification for Episodic Training Methods. CIKM Workshops 2022 - [c14]Philip S. Yu, Olivera Kotevska, Tyler Derr
:
PAS: Privacy Algorithms in Systems. CIKM 2022: 5181-5182 - [c13]Olivera Kotevska, Jordan Johnson, A. Gilad Kusne:
Analyzing Data Privacy for Edge Systems. SMARTCOMP 2022: 223-228 - 2021
- [c12]Olivera Kotevska, Folami Alamudun
, Christopher B. Stanley:
Optimal Balance of Privacy and Utility with Differential Privacy Deep Learning Frameworks. CSCI 2021: 425-430 - [c11]Martin Peralta-Peterson, Olivera Kotevska:
Effectiveness of Privacy Techniques in Smart Metering Systems. CSCI 2021: 675-678 - [c10]Kadir Amasyali, Kuldeep R. Kurte
, Helia Zandi
, Jeffrey Munk, Olivera Kotevska, Robert W. Smith:
Double Deep Q-Networks for Optimizing Electricity Cost of a Water Heater. ISGT 2021: 1-5 - [c9]Sharmin Afrose, Danfeng Daphne Yao, Olivera Kotevska:
Measurement of Local Differential Privacy Techniques for IoT-based Streaming Data. PST 2021: 1-10 - [c8]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
:
Smoky Mountain Data Challenge 2021: An Open Call to Solve Scientific Data Challenges Using Advanced Data Analytics and Edge Computing. SMC 2021: 361-382 - 2020
- [c7]Olivera Kotevska, Jeffrey Munk, Kuldeep R. Kurte
, Yan Du, Kadir Amasyali, Robert W. Smith, Helia Zandi
:
Methodology for Interpretable Reinforcement Learning Model for HVAC Energy Control. IEEE BigData 2020: 1555-1564 - [c6]Gautam S. Thakur, Olivera Kotevska:
Activity Characterization for Modeling Behavioral-driven Human Mobility in Platial Networks. LocalRec@SIGSPATIAL 2020: 3:1-3:5 - [c5]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:
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 2020: 425-442 - [e1]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 IEEE International Conference on Big Data (IEEE BigData 2020), Atlanta, GA, USA, December 10-13, 2020. IEEE 2020, ISBN 978-1-7281-6251-5 [contents]
2010 – 2019
- 2019
- [c4]Olivera Kotevska, Kalyan S. Perumalla
, Juan Lopez Jr.:
Kensor: Coordinated Intelligence from Co-Located Sensors. IEEE BigData 2019: 4169-4174 - [i1]Olivera Kotevska:
Increasing city safety awareness regarding disruptive traffic stream. CoRR abs/1902.06670 (2019) - 2018
- [b1]Olivera Kotevska:
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). Grenoble Alpes University, France, 2018 - 2017
- [j1]Olivera Kotevska
, A. Gilad Kusne, Daniel V. Samarov, Ahmed Lbath, Abdella Battou:
Dynamic Network Model for Smart City Data-Loss Resilience Case Study: City-to-City Network for Crime Analytics. IEEE Access 5: 20524-20535 (2017) - 2016
- [c3]Olivera Kotevska, Sarala Padi, Ahmed Lbath:
Automatic Categorization of Social Sensor Data. EUSPN/ICTH 2016: 596-603 - [c2]Olivera Kotevska, Ahmed Lbath, J. Gelernter:
Event model to facilitate data sharing among services: Closing the gap between research and implementation. WF-IoT 2016: 577-584 - 2015
- [c1]Olivera Kotevska, Ahmed Lbath, Samia Bouzefrane:
Toward a Framework in Cloudlet-Based Architecture for a Real-Time Predictional Model. UIC/ATC/ScalCom 2015: 1016-1021
Coauthor Index
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last updated on 2024-08-05 20:22 CEST by the dblp team
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