Black box video confrontation sample generation method and evaluation method based on reinforcement learning

The invention discloses a black box video adversarial sample generation method based on reinforcement learning. The method comprises the following steps: acquiring original video data and segmenting the original video data to obtain a video block set; inserting position information into the video bl...

Full description

Saved in:
Bibliographic Details
Main Authors LIANG KAI, LIU RONGKAI, HU CHAO, SHI HEYUAN, ZHAN YU, YU RUISHI
Format Patent
LanguageChinese
English
Published 08.11.2022
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:The invention discloses a black box video adversarial sample generation method based on reinforcement learning. The method comprises the following steps: acquiring original video data and segmenting the original video data to obtain a video block set; inserting position information into the video block set to obtain the video block set with the position information; performing visual feature extraction to obtain features of the video blocks; extracting the video block set with the position information to obtain a key video block set; iterating the key video block set to obtain an estimation gradient; generating a confrontation sample value and constructing a corresponding loss function; and inputting the confrontation sample value into the target video model to obtain a return value, and obtaining a finally constructed confrontation sample according to the return value and the loss function value. The invention further discloses an evaluation method comprising the black box video confrontation sample generati
Bibliography:Application Number: CN202211111492