Embedding Inversion Attacks: How Attackers Reconstruct Private Text From an Agent's Vector-Store Memory
Embedding inversion is SSA descriptive wording for reconstructing the private text behind a stored vector embedding, the representation an agent's retrieval corpus or long-term memory is actually built from. Covers the documented Song and Raghunathan input-inversion attack, the Vec2Text reconstruction method, and the 2025 ALGEN and ZSInvert few-shot and zero-shot attacks, with detection and containment that does not require abandoning embedding-based memory.
Target: Durable MemoryPersistence: Cross-Session to Shared-System