Certified Causal Attribution for Real-Time Attack Forensics in 6G Network Slicing
Under reviewCausal attack attribution under shared-resource confounding, with formal validity and robustness guarantees for real-time 6G network slicing.
Research
papers
Peer-reviewed publications and selected research manuscripts across trustworthy distributed learning, privacy and security, causal AI, audio, and edge intelligence.
Selected manuscripts
Under review
Statuses are shown explicitly and should not be interpreted as acceptance.
The Sensitivity Gap: Privacy Miscalibration in Heterogeneous Split Federated Learning
Under reviewStudies how shared privacy calibration can fail across heterogeneous split-learning clients and develops client-aware sensitivity calibration.
Separating Input-Carried from Model-Added Demographic Encoding in Language Models
Under reviewControlled Representation Attribution (CRA) separates demographic signal already present in the input from signal introduced or amplified by a model.
Q-XAI: Interpretability for Complex-Valued Audio Transformers
Under reviewWirtinger-based attribution and uncertainty-aware interpretability for complex-valued models in acoustic scene analysis.
Spectral Activation Auditing for Byzantine-Robust Split Federated Learning working title
Under reviewInvestigates activation-space attacks that evade gradient-space Byzantine defenses and develops spectral auditing for split learning.
Next-Generation UAVs: Survey of Emerging Technologies and Security & Privacy Frontiers
Under reviewPeer reviewed
Published & accepted
2026
StreamSplit: Continuous Audio Representation Learning via Uncertainty-Guided Adaptive Splitting
PublishedContinuous edge audio representation learning using distributional memory, adaptive edge/cloud splitting, and cloud-side manifold refinement.
2025
Domain-Adapted Granger Causality for Real-Time Cross-Slice Attack Attribution in 6G Networks
AcceptedFederated Learning for Cyber Physical Systems: A Comprehensive Survey
PublishedQuantum-Inspired Genetic Algorithm for Robust Source Separation in Smart City Acoustics
PublishedPrivacy and Fairness in Machine Learning: A Survey
PublishedQuantum-Enhanced Transformers for Robust Acoustic Scene Classification in IoT Environments
Published2024
Towards Privacy-Preserving Waste Classification in the Internet of Things
Published2023
HierSFL: Local Differential Privacy-Aided Split Federated Learning in Mobile Edge Computing
PublishedBook chapter
Forthcoming
Smart Waste Tracking for Infrastructure
ForthcomingResearch in progress. I keep very early-stage projects off this page until they are sufficiently mature. For the most current public citation record, see Google Scholar.