Onat Güngör
Orcid: 0000-0001-7215-0890
According to our database1,
Onat Güngör authored at least 45 papers
between 2019 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
CyberMaskQA: A Privacy-Aware Benchmark for Evaluating Large Language Models in Cybersecurity Question Answering.
CoRR, May, 2026
CoRR, April, 2026
CoRR, April, 2026
KLDrive: Fine-Grained 3D Scene Reasoning for Autonomous Driving based on Knowledge Graph.
CoRR, March, 2026
CoRR, February, 2026
QMC: Efficient SLM Edge Inference via Outlier-Aware Quantization and Emergent Memories Co-Design.
CoRR, January, 2026
LifeAgentBench: A Multi-dimensional Benchmark and Agent for Personal Health Assistants in Digital Health.
CoRR, January, 2026
CITADEL: Continual Anomaly Detection for Enhanced Learning in intrusion detection systems.
Comput. Networks, 2026
2025
EAGER: Edge-Aligned LLM Defense for Robust, Efficient, and Accurate Cybersecurity Question Answering.
CoRR, November, 2025
SAGE: Sample-Aware Guarding Engine for Robust Intrusion Detection Against Adversarial Attacks.
CoRR, September, 2025
ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification.
CoRR, August, 2025
CITADEL: Continual Anomaly Detection for Enhanced Learning in IoT Intrusion Detection.
CoRR, August, 2025
TS-OOD: Evaluating Time-Series Out-of-Distribution Detection and Prospective Directions for Progress.
CoRR, February, 2025
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
Proceedings of the 22nd IEEE International Conference on Mobile Ad-Hoc and Smart Systems, 2025
AQUA-LLM: Evaluating Accuracy, Quantization, and Adversarial Robustness Trade-offs in LLMs for Cybersecurity Question Answering.
Proceedings of the International Conference on Machine Learning and Applications, 2025
LIGHT-HIDS: A Lightweight and Effective Machine Learning-Based Framework for Robust Host Intrusion Detection.
Proceedings of the International Conference on Machine Learning and Applications, 2025
Proceedings of the Great Lakes Symposium on VLSI 2025, GLSVLSI 2025, New Orleans, LA, USA, 30 June 2025, 2025
Proceedings of the 62nd ACM/IEEE Design Automation Conference, 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
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
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
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
Proceedings of the 2021 IEEE Sensors, Sydney, Australia, October 31 - Nov. 3, 2021, 2021
Proceedings of the 2021 IEEE Sensors, Sydney, Australia, October 31 - Nov. 3, 2021, 2021
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
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