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Cyber Security
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Classroom Contents
The Pitfalls of Using ML-Based Optimization - IPAM at UCLA
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- 1 Introduction
- 2 Instability of embeddings
- 3 Degenerate core
- 4 All empirical
- 5 Point of instability
- 6 Negative Sampling
- 7 Topological Shortcuts
- 8 Annotation and Balance
- 9 Man in the Middle Attacks
- 10 Force Path Cut
- 11 Weighted Graphs
- 12 MLbased Optimization
- 13 Application
- 14 Targeted Diffusion
- 15 Attack Vector
- 16 Budget
- 17 Diffusion
- 18 Cyber Security
