Nicolas Papernot

(3 articles)
Adversarial Attacks
2004

Adversarial Attacks

Manipulating input data to deceive machine learning models, causing them to make incorrect predictions or classifications.

Generality: 650

Targeted Adversarial Examples
2014

Targeted Adversarial Examples

Inputs intentionally designed to cause a machine learning model to misclassify them into a specific, incorrect category.

Generality: 255

Double Descent
2019

Double Descent

Phenomenon in ML where the prediction error on test data initially decreases, increases, and then decreases again as model complexity grows.

Generality: 715