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    • AI and Data Security (with Applied Cryptography)
      • Agent Security
        • Blind Gods and Broken Screens: Architecting a Secure, Intent-Centric Mobile Agent Operating System
        • Anonymization-Enhanced Privacy Protection for Mobile GUI Agents: Available but Invisible
        • BlockA2A: Towards Secure and Verifiable Agent-to-Agent Interoperability
        • Agentic Privacy-Preserving Machine Learning
      • Privacy-Preserving Machine Learning
        • RingSG: Optimal Secure Vertex-Centric Computation for Collaborative Graph Processing
        • CoGNN: Towards Secure and Efficient Collaborative Graph Learning
        • Pencil: Private and Extensible Collaborative Learning without Non-Colluding Assumption
      • AI Security
        • Detection of Adversarial Attacks via Disentangling Natural Images and Perturbations
        • Provenance of Training without Training Data: Towards Privacy-Preserving DNN Model Ownership Verification
        • Good Learning, Bad Performance: A Novel Attack Against RL-Based Congestion Control Systems
        • A Hard Label Black-box Adversarial Attack Against Graph Neural Networks
      • Federated Learning
        • Defending Against Data Reconstruction Attacks in Federated Learning: An Information Theory Approach
    • Networking Infrastructure for AI
      • Intelligent Network Architecture
        • Achieving Interpretable DL-based Web Attack Detection through Malicious Payload Localization
        • Pegasus: A Universal Framework for Scalable Deep Learning Inference on the Dataplane
        • Brain-on-Switch: Towards Advanced Intelligent Network Dataplane via NN-Driven Traffic Analysis at Line-Speed
        • An Efficient Design of Intelligent Network Data Plane
        • FlowTele: Remotely Shaping Traffic on Internet-Scale Networks
      • Datacenter Networking
        • DiffECN: Differential ECN Marking for Datacenter Networks
        • PRED: Performance-oriented Random Early Detection for Consistently Stable Performance in Datacenters
        • Revisiting Random Early Detection Tuning for High-Performance Datacenter Networks
        • Change Management in Physical Network Lifecycle Automation
        • Threshold-Based Routing-Topology Co-Design for Optical Data Center
        • Efficient Forwarding Anomaly Detection in Software-Defined Networks
        • Managing Recurrent Virtual Network Updates in Multi-Tenant Datacenters: A System Perspective
        • Enabling Work-Conserving Bandwidth Guarantees for Multi-Tenant Datacenters via Dynamic Tenant-Queue Binding
    • Secure Networking and Systems Infrastructure
      • AI-Driven Traffic Analysis
        • A Universal Black-Box Evasion Attack against ML-based Malicious Traffic Detection Systems
        • Enhancing Website Fingerprinting Attacks against Traffic Drift
        • CertTA: Certified Robustness Made Practical for Learning-Based Traffic Analysis
        • MM4flow: A Pre-trained Multi-modal Model for Versatile Network Traffic Analysis
        • TrafficFormer: An Efficient Pre-trained Model for Traffic Data
        • Training Robust Classifiers for Classfiying Encrypted Traffic under Dynamic Network Conditions
        • Low-Quality Training Data Only? A Robust Framework for Detecting Encrypted Malicious Network Traffic
        • Towards Fine-Grained Webpage Fingerprinting at Scale
        • Learning from Limited Heterogeneous Training Data: Meta-Learning for Unsupervised Zero-day Web Attack Detection across Web Domains
        • Robust Multi-tab Website Fingerprinting Attacks in the Wild
        • Automated Multi-Tab Website Fingerprinting Attack
      • Secure Internet Routing
        • Understanding the Stealthy BGP Hijacking Risk in the ROV Era
        • Learning with Semantics: Towards a Semantics-Aware Routing Anomaly Detection System
        • Secure Inter-domain Routing and Forwarding via Verifiable Forwarding Commitments
        • Enabling Efficient Source and Path Verification via Probabilistic Packet Marking
      • DDoS Attack Prevention
        • Effective DDoS Mitigation via ML-Driven In-Network Traffic Shaping
        • Dynamic Network Security Function Enforcement via Joint Flow and Function Scheduling
        • Umbrella: Enabling ISPs to Offer Readily Deployable and Privacy-Preserving DDoS Prevention Services
        • Practical Proactive DDoS-Attack Mitigation via Endpoint-Driven In-Network Traffic Control
        • MiddlePolice: Toward Enforcing Destination-Defined Policies in the Middle of the Internet
      • Systems Security
        • Cross Container Attacks: The Bewildered eBPF on Clouds
        • Back-Propagating System Dependency Impact for Attack Investigation
        • RapidPatch: Firmware Hotpatching for Real-Time Embedded Devices
        • Unsupervised Contextual Anomaly Detection for Database Systems
        • DeepIntent: Deep Icon-Behavior Learning for Detecting Intention-Behavior Discrepancy in Mobile Apps
        • TorPolice: Towards enforcing service-defined access policies for anonymous communication in the Tor network
    • Web3.0 and Blockchain
      • Web3.0 Infra and Application
        • iSyn: Semi-Automated Smart Contract Synthesis from Legal Financial Agreements
        • Make Web3.0 Connected
      • Zero-Knowledge Proof
        • martFL: Enabling Utility-Driven Data Marketplace with a Robust and Verifiable Federated Learning Architecture
      • HyperService: Interoperability and Programmability Across Heterogeneous Blockchains
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    • Secure and Reliable Infrastructure for LLM-powered AI Agents
    • Network Security
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