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• 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
• HDDB: Efficient In-Storage SQL Database Search Using Hyperdimensional Computing on Ferroelectric NAND Flash
  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
• 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
• lmgame-Bench: How Good are LLMs at Playing Games?
  2025
• Fast and Accurate Causal Parallel Decoding using Jacobi Forcing
  2025
• Client Selection in Federated Learning with Data Heterogeneity and Network Latencies
  2025