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• Federated And Transfer Learning: A Survey On Adversaries And Defense Mechanisms
  2022 · 20 citations
• Towards Privacy-Preserving Split Learning: Destabilizing Adversarial Inference and Reconstruction Attacks in the Cloud
  2025 · 5 citations
• Federated Continual Learning: Concepts, Challenges, and Solutions
  2025 · 2 citations
• Recent Advances in Malware Detection: Graph Learning and Explainability
  2025 · 2 citations
• A Study on Semi-Supervised Detection of DDoS Attacks under Class Imbalance
  2025 · 1 citations
• A Study on the Importance of Features in Detecting Advanced Persistent Threats Using Machine Learning
  2025 · 1 citations
• TrustChain: A Blockchain Framework for Auditing and Verifying Aggregators in Decentralized Federated Learning
  2025 · 1 citations
• NLD-LLM: A systematic framework for evaluating small language transformer models on natural language description
  2025
• Explainable Attention-Guided Stacked Graph Neural Networks for Malware Detection
  2025
• Fednia: Noise-induced Activation Analysis For Mitigating Data Poisoning In FL
  2025
• Dual Explanations via Subgraph Matching for Malware Detection
  2025
• FedNIA: Noise-Induced Activation Analysis for Mitigating Data Poisoning in FL
  2025
• Federated and Transfer Learning: A Survey on Adversaries and Defense Mechanisms
  2022
• Towards Sample-Efficiency and Generalization of Transfer and Inverse Reinforcement Learning: A Comprehensive Literature Review
  2024