30 citations · 31 across the 4 of their papers we have counts for
3 papers · 1 filter
Delving into Deep Image Prior for Adversarial Defense: A Novel Reconstruction-based Defense Framework
Li Ding, Yongwei Wang, Xin Ding +4
Deep learning based image classification models are shown vulnerable to adversarial attacks by injecting deliberately crafted noises to clean images. To defend against adversarial…
Adversarial Attacks on Camera-LiDAR Models for 3D Car Detection
Mazen Abdelfattah, Kaiwen Yuan, Z. Jane Wang +1
Most autonomous vehicles (AVs) rely on LiDAR and RGB camera sensors for perception. Using these point cloud and image data, perception models based on deep neural nets (DNNs) have…
Towards Universal Physical Attacks On Cascaded Camera-Lidar 3D Object Detection Models
Mazen Abdelfattah, Kaiwen Yuan, Z. Jane Wang +1
We propose a universal and physically realizable adversarial attack on a cascaded multi-modal deep learning network (DNN), in the context of self-driving cars. DNNs have achieved h…