Characterizing Adversarial Examples Based on Spatial Consistency
Information for Semantic Segmentation

Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation

11 October 2018

F. I. F. Richard Yu

Papers citing "Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation"

13 / 13 papers shown

Title
Boosting Verified Training for Robust Image Classifications via Abstraction Zhaodi Zhang Zhiyi Xue Yang Chen Si Liu Yueling Zhang J. Liu Min Zhang 31 4 0 21 Mar 2023
CARE: Certifiably Robust Learning with Reasoning via Variational Inference Jiawei Zhang Linyi Li Ce Zhang Bo-wen Li AAML OOD 40 8 0 12 Sep 2022
Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization Xiaojun Xu Jacky Y. Zhang Evelyn Ma Danny Son Oluwasanmi Koyejo Bo-wen Li 20 10 0 03 Feb 2022
Towards Robust Neural Image Compression: Adversarial Attack and Model Finetuning Tong Chen Zhan Ma AAML 17 28 0 16 Dec 2021
ADC: Adversarial attacks against object Detection that evade Context consistency checks Mingjun Yin Shasha Li Chengyu Song M. Salman Asif A. Roy-Chowdhury S. Krishnamurthy AAML 19 22 0 24 Oct 2021
Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks Yulong Cao* Ningfei Wang* Chaowei Xiao Dawei Yang Jin Fang Ruigang Yang Qi Alfred Chen Mingyan D. Liu Bo-wen Li AAML 16 217 0 17 Jun 2021
We Can Always Catch You: Detecting Adversarial Patched Objects WITH or WITHOUT Signature Binxiu Liang Jiachun Li Jianjun Huang AAML 17 12 0 09 Jun 2021
End-to-end Prostate Cancer Detection in bpMRI via 3D CNNs: Effects of Attention Mechanisms, Clinical Priori and Decoupled False Positive Reduction A. Saha M. Hosseinzadeh Henkjan Huisman MedIm 38 129 0 08 Jan 2021
QEBA: Query-Efficient Boundary-Based Blackbox Attack Huichen Li Xiaojun Xu Xiaolu Zhang Shuang Yang Bo-wen Li AAML 19 177 0 28 May 2020
Anomalous Example Detection in Deep Learning: A Survey Saikiran Bulusu B. Kailkhura Bo-wen Li P. Varshney D. Song AAML 23 47 0 16 Mar 2020
Using Depth for Pixel-Wise Detection of Adversarial Attacks in Crowd Counting Weizhe Liu Mathieu Salzmann Pascal Fua AAML 22 9 0 26 Nov 2019
MeshAdv: Adversarial Meshes for Visual Recognition Chaowei Xiao Dawei Yang Bo-wen Li Jia Deng M. Liu AAML 18 25 0 11 Oct 2018
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition Zifeng Wu Chunhua Shen A. Hengel SSeg 247 1,491 0 30 Nov 2016