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2020 – today
- 2025
[c22]Le Zhang
, Onat Güngör, Flavio Ponzina, Tajana Rosing:
E-QUARTIC: Energy Efficient Edge Ensemble of Convolutional Neural Networks for Resource-Optimized Learning. ASP-DAC 2025: 959-965- [c21]Cagla Ipek Kocal, Onat Güngör, Aaron Tartz, Tajana Rosing, Baris Aksanli:
ReLATE: Resilient Learner Selection for Multivariate Time-Series Classification Against Adversarial Attacks. CSR 2025: 419-424 - [c20]Sean Fuhrman, Onat Güngör, Tajana Rosing:
CND-IDS: Continual Novelty Detection for Intrusion Detection Systems. DAC 2025: 1-7 - [c19]Nilesh Prasad Pandey, Shriniwas Kulkarni, David Wang, Onat Güngör, Flavio Ponzina, Tajana Rosing:
DPQ-HD: Post-Training Compression for Ultra-Low Power Hyperdimensional Computing. ACM Great Lakes Symposium on VLSI 2025: 97-104 - [c18]Le Zhang, Quanling Zhao, Run Wang, Shirley Bian, Onat Güngör, Flavio Ponzina, Tajana Rosing:
Offload Rethinking by Cloud Assistance for Efficient Environmental Sound Recognition on LPWANs. SenSys 2025: 437-448 - [c17]Ye Tian, Onat Güngör, Xiaofan Yu, Tajana Rosing:
Poster Abstract: Fine-grained Contextualized Activity Logs Generation based on Multi-Modal Sensor Data and LLM. SenSys 2025: 608-609 - [c16]Jing Chen, Onat Güngör, Zhengli Shang, Elvin Li, Tajana Rosing:
DYNAMITE: Dynamic Defense Selection for Enhancing Machine Learning-Based Intrusion Detection Against Adversarial Attacks. SP (Workshops) 2025: 213-219 - [i16]Elvin Li, Zhengli Shang, Onat Güngör, Tajana Rosing:
SAFE: Self-Supervised Anomaly Detection Framework for Intrusion Detection. CoRR abs/2502.07119 (2025) - [i15]Sean Fuhrman, Onat Güngör, Tajana Rosing:
CND-IDS: Continual Novelty Detection for Intrusion Detection Systems. CoRR abs/2502.14094 (2025) - [i14]Le Zhang, Quanling Zhao, Run Wang, Shirley Bian, Onat Güngör, Flavio Ponzina, Tajana Rosing:
Offload Rethinking by Cloud Assistance for Efficient Environmental Sound Recognition on LPWANs. CoRR abs/2502.15285 (2025) - [i13]Onat Güngör, Amanda Sofie Rios, Nilesh A. Ahuja, Tajana Rosing:
TS-OOD: Evaluating Time-Series Out-of-Distribution Detection and Prospective Directions for Progress. CoRR abs/2502.15901 (2025) - [i12]Cagla Ipek Kocal, Onat Güngör, Aaron Tartz, Tajana Rosing, Baris Aksanli:
ReLATE: Resilient Learner Selection for Multivariate Time-Series Classification Against Adversarial Attacks. CoRR abs/2503.07882 (2025) - [i11]Jing Chen, Onat Güngör, Zhengli Shang, Elvin Li, Tajana Rosing:
DYNAMITE: Dynamic Defense Selection for Enhancing Machine Learning-based Intrusion Detection Against Adversarial Attacks. CoRR abs/2504.13301 (2025) - [i10]Nilesh Prasad Pandey, Shriniwas Kulkarni, David Wang, Onat Güngör, Flavio Ponzina, Tajana Rosing:
DPQ-HD: Post-Training Compression for Ultra-Low Power Hyperdimensional Computing. CoRR abs/2505.05413 (2025) - [i9]Ye Tian, Xiaoyuan Ren, Zihao Wang, Onat Güngör, Xiaofan Yu, Tajana Rosing:
DailyLLM: Context-Aware Activity Log Generation Using Multi-Modal Sensors and LLMs. CoRR abs/2507.13737 (2025) - [i8]Elvin Li, Onat Güngör, Zhengli Shang, Tajana Rosing:
CITADEL: Continual Anomaly Detection for Enhanced Learning in IoT Intrusion Detection. CoRR abs/2508.19450 (2025) - [i7]Cagla Ipek Kocal, Onat Güngör, Tajana Rosing, Baris Aksanli:
ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification. CoRR abs/2508.19456 (2025) - [i6]Jing Chen, Onat Güngör, Zhengli Shang, Tajana Rosing:
SAGE: Sample-Aware Guarding Engine for Robust Intrusion Detection Against Adversarial Attacks. CoRR abs/2509.08091 (2025) - [i5]Onat Güngör, Ishaan Kale, Jiasheng Zhou, Tajana Rosing:
LIGHT-HIDS: A Lightweight and Effective Machine Learning-Based Framework for Robust Host Intrusion Detection. CoRR abs/2509.13464 (2025) - [i4]Onat Güngör, Roshan Sood, Harold Wang, Tajana Rosing:
AQUA-LLM: Evaluating Accuracy, Quantization, and Adversarial Robustness Trade-offs in LLMs for Cybersecurity Question Answering. CoRR abs/2509.13514 (2025) - 2024
- [c15]Onat Güngör, Tajana Rosing, Baris Aksanli:
A2HD: Adaptive Adversarial Training for Hyperdimensional Computing-Based Intrusion Detection Against Adversarial Attacks. CSR 2024: 107-113 - [c14]Onat Güngör, Elvin Li, Zhengli Shang, Yutong Guo, Jing Chen, Johnathan Davis, Tajana Rosing:
Rigorous Evaluation of Machine Learning-Based Intrusion Detection Against Adversarial Attacks. CSR 2024: 152-158 - [c13]Onat Güngör, Tajana Rosing, Baris Aksanli:
ROLDEF: RObust Layered DEFense for Intrusion Detection Against Adversarial Attacks. DATE 2024: 1-6 - [c12]Fatemeh Asgarinejad, Flavio Ponzina, Onat Güngör, Tajana Rosing, Baris Aksanli:
HDXpose: Harnessing Hyperdimensional Computing's Explainability for Adversarial Attacks. ICCAD 2024: 154:1-154:9 - [c11]Onat Güngör, Amanda Rios, Priyanka Mudgal, Nilesh A. Ahuja, Tajana Rosing:
A Robust Framework for Evaluation of Unsupervised Time-Series Anomaly Detection. ICPR (26) 2024: 48-64 - [i3]Le Zhang, Onat Güngör, Flavio Ponzina, Tajana Rosing:
E-QUARTIC: Energy Efficient Edge Ensemble of Convolutional Neural Networks for Resource-Optimized Learning. CoRR abs/2409.08369 (2024) - 2023
- [c10]Onat Güngör, Tajana Rosing, Baris Aksanli:
Adversarial-HD: Hyperdimensional Computing Adversarial Attack Design for Secure Industrial Internet of Things. CPS-IoT Week Workshops 2023: 1-6 - [c9]Xiaofan Yu, Minxuan Zhou, Fatemeh Asgarinejad, Onat Güngör, Baris Aksanli, Tajana Rosing:
Lightning Talk: Private and Secure Edge AI with Hyperdimensional Computing. DAC 2023: 1-2 - [c8]Onat Güngör, Tajana Rosing, Baris Aksanli:
HD-I-IoT: Hyperdimensional Computing for Resilient Industrial Internet of Things Analytics. DATE 2023: 1-6 - [c7]Mitchell Timken, Onat Güngör, Tajana Rosing, Baris Aksanli:
Analysis of Machine Learning Algorithms for Cyber Attack Detection in SCADA Power Systems. SmartNets 2023: 1-6 - [i2]Onat Güngör, Tajana Rosing, Baris Aksanli:
DODEM: DOuble DEfense Mechanism Against Adversarial Attacks Towards Secure Industrial Internet of Things Analytics. CoRR abs/2301.09740 (2023) - 2022
- [j3]Onat Güngör, Tajana Rosing, Baris Aksanli:
STEWART: STacking Ensemble for White-Box AdversaRial Attacks Towards more resilient data-driven predictive maintenance. Comput. Ind. 140: 103660 (2022) - [j2]Onat Güngör, Tajana Rosing, Baris Aksanli:
DOWELL: Diversity-Induced Optimally Weighted Ensemble Learner for Predictive Maintenance of Industrial Internet of Things Devices. IEEE Internet Things J. 9(4): 3125-3134 (2022) - [c6]Onat Güngör, Tajana Rosing, Baris Aksanli:
DENSE-DEFENSE: Diversity Promoting Ensemble Adversarial Training Towards Effective Defense. IEEE SENSORS 2022: 1-4 - [i1]Onat Güngör, Tajana Rosing, Baris Aksanli:
RES-HD: Resilient Intelligent Fault Diagnosis Against Adversarial Attacks Using Hyper-Dimensional Computing. CoRR abs/2203.08148 (2022) - 2021
- [c5]Onat Güngör, Tajana Rosing, Baris Aksanli:
OPELRUL: OPtimally Weighted Ensemble Learner for Remaining Useful Life Prediction. ICPHM 2021: 1-8 - [c4]Onat Güngör, Tajana Rosing, Baris Aksanli:
CAHEROS: Constraint-Aware HEuristic Approach for RObust Sensor Placement. IEEE SENSORS 2021: 1-4 - [c3]Onat Güngör, Tajana Rosing, Baris Aksanli:
ENFES: ENsemble FEw-Shot Learning For Intelligent Fault Diagnosis with Limited Data. IEEE SENSORS 2021: 1-4 - 2020
- [c2]Onat Güngör, Tajana Simunic Rosing, Baris Aksanli:
RESPIRE: Robust Sensor Placement Optimization in Probabilistic Environments. IEEE SENSORS 2020: 1-4 - [c1]Onat Güngör, Jake Garnier, Tajana Simunic Rosing, Baris Aksanli:
LENARD: Lightweight ENsemble LeARner for MeDium-term Electricity Consumption Prediction. SmartGridComm 2020: 1-6
2010 – 2019
- 2019
- [j1]Onat Güngör, Baris Aksanli, Reyhan Aydogan:
Algorithm selection and combining multiple learners for residential energy prediction. Future Gener. Comput. Syst. 99: 391-400 (2019)
Coauthor Index
aka: Tajana Simunic Rosing
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