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cs.CR2026
Neighborhood Watch: Privacy Risks in Seeded Local Combination Synthetic Data
Hadrien Lautraite, Tristan Allard, Anne-Sophie Charest +2
Synthetic data is seen as a promising solution for sharing data in sensitive contexts. However, recent work on privacy attacks have shown that there are still significant residual…
cs.CR2026
Embedding Inference Attack
Cedric Fitiavana Raelijohn, Sébastien Gambs, Jean-Francois Rajotte
Embedding models are essential components of modern Information Retrieval (IR) systems, yet they are typically hidden behind APIs. Recent works have shown that dense IR system can…