Physical Adversarial Example

Physical Adversarial Example

Authors: Andrew P Du (The University of Adelaide)*; Bo Chen (The University of Adelaide); Tat-Jun Chin (The University of ...

Project for ECS235A at UC Davis. We recreated the results from the recent research "Standard detectors aren't (currently) fooled ...

Demo to paper "

Authors: Ranjie Duan, Xingjun Ma, Yisen Wang, James Bailey, A. K. Qin, Yun Yang Description: Deep neural networks (DNNs) ...

This talk covers

ShapeShifter is the first targeted

A demo video of a grey car being attacked with an

... neural networks" is available here: http://arxiv.org/abs/1312.6199 The paper "Explaining and Harnessing

We talk about

This paper is published in CVPR 2021. https://arxiv.org/abs/2011.13375 Authors: Athena Sayles, Ashish Hooda, Mohit Gupta, ...

An adversarial object from the paper "Synthesizing Robust

Adversarial example

Authors: James Tu, Mengye Ren, Sivabalan Manivasagam, Ming Liang, Bin Yang, Richard Du, Frank Cheng, Raquel Urtasun ...

Targeted

Examines

More info: http://www.csail.mit.edu/fooling_neural_networks_with_3Dprinted_objects ...

Abstract:Although deep neural networks (DNNs) perform well in a variety of applications, they are vulnerable to

Object detection plays an important role in security-critical systems such as autonomous vehicles but has shown to be vulnerable ...

[CVPR2022] This is the presentation video for our work: Shadows can be Dangerous: Stealthy and Effective