CNIPA.AI
返回搜索
档案

ADVANCING ENSEMBLE LEARNING AGAINST UNLEARNABLE DATA

发明专利审中
20权利要求 · 2 独立
§ Ⅰ

卷宗概要

发明人

Kaiqi XIONG; Hapuarachchige Thushari Saumya HAPUARACHCHI

IPC 分类

G6V 10/774G6V 10/766G6V 10/776G6V 10/82

CPC 分类

G6V10/7747G6V10/766G6V10/776G6V10/82

Systems and methods are provided herein for advancing ensemble learning methods, including stacking, boosting, and bagging, for defeating data protection approaches by converting their generated unlearnable data into learnable ones. Processes of the present disclosure may enhance and implement ensemble learning on the unlearnable data while incorporating nonlinear transformations.

原文(中文)

Systems and methods are provided herein for advancing ensemble learning methods, including stacking, boosting, and bagging, for defeating data protection approaches by converting their generated unlearnable data into learnable ones. Processes of the present disclosure may enhance and implement ensemble learning on the unlearnable data while incorporating nonlinear transformations.