SIRAJ - A Unified Framework for Aggregation of Malicious Entity Detectors

SIRAJ - A Unified Framework for Aggregation of Malicious Entity Detectors

IEEE Symposium on Security and Privacy via YouTube Direct link

Siraj vs. Baselines for Different Training Size

14 of 15

14 of 15

Siraj vs. Baselines for Different Training Size

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Classroom Contents

SIRAJ - A Unified Framework for Aggregation of Malicious Entity Detectors

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  1. 1 Intro
  2. 2 Internet Threats
  3. 3 Our Approach: A Unified Aggregating Framework
  4. 4 Varying Accuracy and Expertise of Scanners
  5. 5 Label Flips in Scanner Predictions
  6. 6 Scanner Correlations
  7. 7 Self Supervised Learning
  8. 8 High-Level Overall Approach
  9. 9 Pretext Task 2: Learn Temporal Scanner Dependencies
  10. 10 Pretext Task 3: Representation Consistency
  11. 11 Detailed Overall Approach
  12. 12 Evaluation
  13. 13 Siraj vs. Baselines for Early Detection
  14. 14 Siraj vs. Baselines for Different Training Size
  15. 15 Summary

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