All Stories

  1. MM4flow: A Pre-trained Multi-modal Model for Versatile Network Traffic Analysis
  2. RingSG: Optimal Secure Vertex-Centric Computation for Collaborative Graph Processing
  3. Training Robust Classifiers for Classifying Encrypted Traffic under Dynamic Network Conditions
  4. Pegasus: A Universal Framework for Scalable Deep Learning Inference on the Dataplane
  5. Towards Fine-Grained Webpage Fingerprinting at Scale
  6. CoGNN: Towards Secure and Efficient Collaborative Graph Learning
  7. martFL: Enabling Utility-Driven Data Marketplace with a Robust and Verifiable Federated Learning Architecture
  8. Learning from Limited Heterogeneous Training Data: Meta-Learning for Unsupervised Zero-Day Web Attack Detection across Web Domains
  9. iSyn: Semi-automated Smart Contract Synthesis from Legal Financial Agreements
  10. Provenance of Training without Training Data: Towards Privacy-Preserving DNN Model Ownership Verification
  11. DIP: unifying network layer innovations using shared L3 core functions
  12. Unsupervised Contextual Anomaly Detection for Database Systems
  13. On Detecting Growing-Up Behaviors of Malicious Accounts in Privacy-Centric Mobile Social Networks
  14. A Hard Label Black-box Adversarial Attack Against Graph Neural Networks
  15. Privilege-Escalation Vulnerability Discovery for Large-scale RPC Services
  16. DeepIntent
  17. Blockchain Interoperability
  18. Practical Proactive DDoS-Attack Mitigation via Endpoint-Driven In-Network Traffic Control
  19. DDoS Attacks