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Onat Gungor — most-cited papers & profile · Cybersecurity
← authors
·
overview
Onat Gungor
10
papers ·
5
citations ·
7
h-index
University of California San Diego
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
DYNAMITE: Dynamic Defense Selection for Enhancing Machine Learning-based Intrusion Detection Against Adversarial Attacks
2025 · 5 citations
INTARG: Informed Real-time Adversarial Attack Generation For Time-series Regression
2026
LIGHT-HIDS: A Lightweight and Effective Machine Learning-Based Framework for Robust Host Intrusion Detection
2025
AQUA-LLM: Evaluating Accuracy, Quantization, and Adversarial Robustness Trade-offs in LLMs for Cybersecurity Question Answering
2025
CITADEL: Continual Anomaly Detection for Enhanced Learning in IoT Intrusion Detection
2025
ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification
2025
Top co-authors
Tajana Rosing
· 6
Elvin Li
· 2
Zhengli Shang
· 2
Baris Aksanli
· 1
Cagla Ipek Kocal
· 1
Gamze Kirman Tokgoz
· 1
Harold Wang
· 1
Ishaan Kale
· 1
Jiasheng Zhou
· 1
Jing Chen
· 1
Roshan Sood
· 1
Topics
Adversarial ML
Anomaly Detection
Malware Detection
Vulnerability Detection
Network Security
Threat Intelligence
LLM Security