T3Attacking AI Systems
Embedding and Model Extraction Attacks
Attacks on the model itself: extraction and stealing, model inversion, membership inference, training-data extraction, and embedding-space attacks. A grounded look at what is practical today versus what remains largely theoretical.
Advanced3 min readprofessional streamUpdated Sat Aug 01 2026 00:00:00 GMT+0000 (Coordinated Universal Time)
Learning objectives
- Distinguish extraction, inversion, membership inference, and training-data extraction
- Explain embedding-space attacks and why vector stores leak
- Judge which model-level attacks are practical today versus mostly theoretical
- Design query-budget and monitoring tests that surface extraction exposure
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