187 citations · 380 across the 41 of their papers we have counts for
4 papers · 1 filter
ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples
Xiaojun Jia, Xingxing Wei, Xiaochun Cao +1
Deep neural networks (DNNs) have been demonstrated to be vulnerable to adversarial examples. Specifically, adding imperceptible perturbations to clean images can fool the well trai…
Transferable Adversarial Attacks for Image and Video Object Detection
Xingxing Wei, Siyuan Liang, Ning Chen +1
Adversarial examples have been demonstrated to threaten many computer vision tasks including object detection. However, the existing attacking methods for object detection have two…
Modeling and Predicting Popularity Dynamics via Deep Learning Attention Mechanism
Sha Yuan, Yu Zhang, Jie Tang +2
An ability to predict the popularity dynamics of individual items within a complex evolving system has important implications in a wide range of domains. Here we propose a deep lea…
Sparse Adversarial Perturbations for Videos
Xingxing Wei, Jun Zhu, Hang Su
Although adversarial samples of deep neural networks (DNNs) have been intensively studied on static images, their extensions in videos are never explored. Compared with images, att…