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Tajana Rosing — most-cited papers & profile · AI for Code
← authors
·
overview
Tajana Rosing
32
papers ·
48
citations ·
0
h-index
UC San Diego Health System · University of California San Diego
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Depthwise Convolution is All You Need for Learning Multiple Visual Domains
2019 · 32 citations
DYNAMITE: Dynamic Defense Selection for Enhancing Machine Learning-based Intrusion Detection Against Adversarial Attacks
2025 · 5 citations
CND-IDS: Continual Novelty Detection for Intrusion Detection Systems
2025 · 4 citations
RES-HD: Resilient Intelligent Fault Diagnosis Against Adversarial Attacks Using Hyper-Dimensional Computing
2022 · 4 citations
SAFE: Self-Supervised Anomaly Detection Framework for Intrusion Detection
2025 · 2 citations
CyberMaskQA: A Privacy-Aware Benchmark for Evaluating Large Language Models in Cybersecurity Question Answering
2026
INTARG: Informed Real-time Adversarial Attack Generation For Time-series Regression
2026
ACORN-IDS: Adaptive Continual Novelty Detection for Intrusion Detection Systems
2026
EAGER: Edge-Aligned LLM Defense for Robust, Efficient, and Accurate Cybersecurity Question Answering
2025
SAGE: Sample-Aware Guarding Engine for Robust Intrusion Detection Against Adversarial Attacks
2025
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
FedUHD: Unsupervised Federated Learning using Hyperdimensional Computing
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
Topics
Vulnerability Detection
Anomaly Detection
Adversarial ML
Malware Detection
Threat Intelligence
Network Security
LLM Security
Federated Learning
cs.LG
Data Heterogeneity