Onat Güngör

According to our database, Onat Güngör authored at least 15 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

DODEM: DOuble DEfense Mechanism Against Adversarial Attacks Towards Secure Industrial Internet of Things Analytics.

Onat Güngör, Tajana Rosing, Baris Aksanli

CoRR, 2023

Analysis of Machine Learning Algorithms for Cyber Attack Detection in SCADA Power Systems.

Mitchell Timken, Onat Güngör, Tajana Rosing, Baris Aksanli

Proceedings of the International Conference on Smart Applications, 2023

HD-I-IoT: Hyperdimensional Computing for Resilient Industrial Internet of Things Analytics.

Onat Güngör, Tajana Rosing, Baris Aksanli

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

Lightning Talk: Private and Secure Edge AI with Hyperdimensional Computing.

Xiaofan Yu, Minxuan Zhou, Fatemeh Asgarinejad, Onat Güngör, Baris Aksanli, Tajana Rosing

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

Adversarial-HD: Hyperdimensional Computing Adversarial Attack Design for Secure Industrial Internet of Things.

Onat Güngör, Tajana Rosing, Baris Aksanli

Proceedings of Cyber-Physical Systems and Internet of Things Week 2023, 2023

2022

DOWELL: Diversity-Induced Optimally Weighted Ensemble Learner for Predictive Maintenance of Industrial Internet of Things Devices.

Onat Güngör, Tajana Rosing, Baris Aksanli

IEEE Internet Things J., 2022

RES-HD: Resilient Intelligent Fault Diagnosis Against Adversarial Attacks Using Hyper-Dimensional Computing.

Onat Güngör, Tajana Rosing, Baris Aksanli

CoRR, 2022

STEWART: STacking Ensemble for White-Box AdversaRial Attacks Towards more resilient data-driven predictive maintenance.

Onat Güngör, Tajana Rosing, Baris Aksanli

Comput. Ind., 2022

DENSE-DEFENSE: Diversity Promoting Ensemble Adversarial Training Towards Effective Defense.

Onat Güngör, Tajana Rosing, Baris Aksanli

Proceedings of the 2022 IEEE Sensors, Dallas, TX, USA, October 30 - Nov. 2, 2022, 2022

2021

ENFES: ENsemble FEw-Shot Learning For Intelligent Fault Diagnosis with Limited Data.

Onat Güngör, Tajana Rosing, Baris Aksanli

Proceedings of the 2021 IEEE Sensors, Sydney, Australia, October 31 - Nov. 3, 2021, 2021

CAHEROS: Constraint-Aware HEuristic Approach for RObust Sensor Placement.

Onat Güngör, Tajana Rosing, Baris Aksanli

Proceedings of the 2021 IEEE Sensors, Sydney, Australia, October 31 - Nov. 3, 2021, 2021

OPELRUL: OPtimally Weighted Ensemble Learner for Remaining Useful Life Prediction.

Onat Güngör, Tajana Rosing, Baris Aksanli

Proceedings of the International IEEE Conference on Prognostics and Health Management, 2021

2020

LENARD: Lightweight ENsemble LeARner for MeDium-term Electricity Consumption Prediction.

Onat Güngör, Jake Garnier, Tajana Simunic Rosing, Baris Aksanli

Proceedings of the 2020 IEEE International Conference on Communications, 2020

RESPIRE: Robust Sensor Placement Optimization in Probabilistic Environments.

Onat Güngör, Tajana Simunic Rosing, Baris Aksanli

Proceedings of the 2020 IEEE Sensors, Rotterdam, The Netherlands, October 25-28, 2020, 2020

2019

Algorithm selection and combining multiple learners for residential energy prediction.

Onat Güngör, Baris Aksanli, Reyhan Aydogan

Future Gener. Comput. Syst., 2019