Onat Güngör

Orcid: 0000-0001-7215-0890

According to our database1, Onat Güngör authored at least 30 papers between 2019 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
DailyLLM: Context-Aware Activity Log Generation Using Multi-Modal Sensors and LLMs.
CoRR, July, 2025

TS-OOD: Evaluating Time-Series Out-of-Distribution Detection and Prospective Directions for Progress.
CoRR, February, 2025

CND-IDS: Continual Novelty Detection for Intrusion Detection Systems.
CoRR, February, 2025

SAFE: Self-Supervised Anomaly Detection Framework for Intrusion Detection.
CoRR, February, 2025

DYNAMITE: Dynamic Defense Selection for Enhancing Machine Learning-Based Intrusion Detection Against Adversarial Attacks.
Proceedings of the 2025 IEEE Security and Privacy, 2025

Offload Rethinking by Cloud Assistance for Efficient Environmental Sound Recognition on LPWANs.
Proceedings of the 23rd ACM Conference on Embedded Networked Sensor Systems, 2025

Poster Abstract: Fine-grained Contextualized Activity Logs Generation based on Multi-Modal Sensor Data and LLM.
Proceedings of the 23rd ACM Conference on Embedded Networked Sensor Systems, 2025

DPQ-HD: Post-Training Compression for Ultra-Low Power Hyperdimensional Computing.
Proceedings of the Great Lakes Symposium on VLSI 2025, GLSVLSI 2025, New Orleans, LA, USA, 30 June 2025, 2025

ReLATE: Resilient Learner Selection for Multivariate Time-Series Classification Against Adversarial Attacks.
Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2025

E-QUARTIC: Energy Efficient Edge Ensemble of Convolutional Neural Networks for Resource-Optimized Learning.
Proceedings of the 30th Asia and South Pacific Design Automation Conference, 2025

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

HDXpose: Harnessing Hyperdimensional Computing's Explainability for Adversarial Attacks.
Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, 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


  Loading...