k-anonymity, the parent of all privacy definitions
(desfontain.es)
Stories by Mbat
Re-Identification Risk vs k-Anonymity
(testingbranch.com)
Quantifying Information Loss
(testingbranch.com)
Noise, Stability, and ML model Calibration
(testingbranch.com)
Evaluating embedding quality by testing metric properties (Z3 solver)
(testingbranch.com)
I ran a small experiment to evaluate text embeddings by checking whether they preserve basic metric properties: triangle inequality, distance consistency, compression stability, etc.
Instead of relying on downstream accuracy, I used Z3 to search for explicit geometric violations and compare models ...