Guarantees of confidentiality via Hammersley-Chapman-Robbins bounds

Kamalika Chaudhuri, Chuan Guo, Laurens van der Maaten +2

Protecting privacy during inference with deep neural networks is possible by adding noise to the activations in the last layers prior to the final classifiers or other task-specifi…