PASS learns a stochastic substitution mapping that drives private-attribute inference to chance level across images, audio, and sensor data while keeping useful attributes mostly intact.
Adversarially learned representations for information obfuscation and inference
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PASS: Private Attributes Protection with Stochastic Data Substitution
PASS learns a stochastic substitution mapping that drives private-attribute inference to chance level across images, audio, and sensor data while keeping useful attributes mostly intact.