- Secure Multi-party Computation.- Quantum-Computation Classical-Communication Commitments from SZK-Hardness.- Concretely Efficient Constructions for Differentially Private Set Intersection.- MSFS: Maliciously Secure 3-Party Feature Selection via Mutual Information.- Adaptive Batched K-out-of-N Oblivious Transfers Extension.- Programming Equation Systems of Arithmetization-Oriented Primitives with Constraints.- Anomaly Detection Methodologies & Models.- Anomaly Detection for ADS-B Data Based on KAN-LSTM.

- Network Intrusion Detection Method Based on Multi-Scale Feature Clustering and Improved Honey Badger Algorithm.- SAGE: Spatiotemporal Feature Fusion for Anomaly Detection in Multivariate Time Series.- MoE-CNN with Dynamic Feature Selection and CSAM for Network Anomaly Detection.- PP-MTAD: Privacy-Preserving and Efficient Multivariate Time Series Anomaly Detection.- LogWhisperer: Multi-Log Semantic Similarity Analysis based Intelligent Vehicle Anomaly Detection without Log Template.- An Early Detection of Risky Crowd Dynamics Scheme Based on Motion Entropy and Scene Semantics.- Enhancing Explainability in X-IDS through Counterfactuals.- What Interferes with the Accurate Detection of Origin Hijacking Anomalies?.

- Network Security & Traffic Analysis.- Verifiable and Privacy-Preserving Deep Packet Inspection for Multiple Rule Service Providers.- Towards Adaptive Network Defense: A Self-Evolving Threat Detection Framework.- Early Detection of Malicious Traffic based on Graph Modeling and Spatio-Temporal Attention Approach.- Revealing the Frailty of Static Benchmarks: The DyNA-IDS Framework for Concept Drift Adaptation in Time-Series Network Intrusion Detection.- iSSH: Enabling In-Flight SSH Traffic Inspection without Key Escrow.- Tracing Your Roots: Exploring the Security Issues of Root Certificates in Android TLS Connections.- Exploring the Root Store Usage in TLS-based Applications.

- LSDBFT: A Loose DAG-based Asynchronous BFT Consensus Algorithm with Fair Ordering.- FRanCS: A Fair and Randomized Anonymous Network Circuit Selection Mechanism with Blockchain.- Robust Training of Efficient Traffic Classifier with Noisy Labels.- A Multimodal Asynchronous Federated Learning Approach for Encrypted Traffic Classification.