BriefGPT.xyz
Nov, 2023
破坏时间一致性:使用图像模型生成视频通用对抗扰动
Breaking Temporal Consistency: Generating Video Universal Adversarial Perturbations Using Image Models
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Hee-Seon Kim, Minji Son, Minbeom Kim, Myung-Joon Kwon, Changick Kim
TL;DR
使用图像数据和图像模型的Breaking Temporal Consistency(BTC)方法,通过对视频中邻近帧的特征相似性进行最小化以生成逆向模式的对抗性视频,在各种数据集中具有优越的效果。
Abstract
As
video analysis
using
deep learning models
becomes more widespread, the vulnerability of such models to adversarial attacks is becoming a pressing concern. In particular, Universal Adversarial Perturbation (UAP
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