Onat Güngör

Orcid: 0000-0001-7215-0890

According to our database1, Onat Güngör authored at least 20 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
E-QUARTIC: Energy Efficient Edge Ensemble of Convolutional Neural Networks for Resource-Optimized Learning.
CoRR, 2024

A Robust Framework for Evaluation of Unsupervised Time-Series Anomaly Detection.
Proceedings of the Pattern Recognition - 27th International Conference, 2024

ROLDEF: RObust Layered DEFense for Intrusion Detection Against Adversarial Attacks.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

A<sup>2</sup>HD: Adaptive Adversarial Training for Hyperdimensional Computing-Based Intrusion Detection Against Adversarial Attacks.
Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2024

Rigorous Evaluation of Machine Learning-Based Intrusion Detection Against Adversarial Attacks.
Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2024

2023
DODEM: DOuble DEfense Mechanism Against Adversarial Attacks Towards Secure Industrial Internet of Things Analytics.
CoRR, 2023

Analysis of Machine Learning Algorithms for Cyber Attack Detection in SCADA Power Systems.
Proceedings of the International Conference on Smart Applications, 2023

HD-I-IoT: Hyperdimensional Computing for Resilient Industrial Internet of Things Analytics.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

Lightning Talk: Private and Secure Edge AI with Hyperdimensional Computing.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

Adversarial-HD: Hyperdimensional Computing Adversarial Attack Design for Secure Industrial Internet of Things.
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.
IEEE Internet Things J., 2022

RES-HD: Resilient Intelligent Fault Diagnosis Against Adversarial Attacks Using Hyper-Dimensional Computing.
CoRR, 2022

STEWART: STacking Ensemble for White-Box AdversaRial Attacks Towards more resilient data-driven predictive maintenance.
Comput. Ind., 2022

DENSE-DEFENSE: Diversity Promoting Ensemble Adversarial Training Towards Effective Defense.
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.
Proceedings of the 2021 IEEE Sensors, Sydney, Australia, October 31 - Nov. 3, 2021, 2021

CAHEROS: Constraint-Aware HEuristic Approach for RObust Sensor Placement.
Proceedings of the 2021 IEEE Sensors, Sydney, Australia, October 31 - Nov. 3, 2021, 2021

OPELRUL: OPtimally Weighted Ensemble Learner for Remaining Useful Life Prediction.
Proceedings of the International IEEE Conference on Prognostics and Health Management, 2021

2020
LENARD: Lightweight ENsemble LeARner for MeDium-term Electricity Consumption Prediction.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

RESPIRE: Robust Sensor Placement Optimization in Probabilistic Environments.
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.
Future Gener. Comput. Syst., 2019


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