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

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

19 / 19 papers shown

Title
Uncertainty-weighted Loss Functions for Improved Adversarial Attacks on Semantic Segmentation Kira Maag Asja Fischer AAML SSeg 42 3 0 26 Oct 2023
Uncertainty-based Detection of Adversarial Attacks in Semantic Segmentation Kira Maag Asja Fischer AAML UQCV 23 4 0 22 May 2023
Boosting Verified Training for Robust Image Classifications via Abstraction Zhaodi Zhang Zhiyi Xue Yang Chen Si Liu Yueling Zhang Qingbin Liu Min Zhang 51 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 43 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 28 29 0 16 Dec 2021
Adversarial Examples on Segmentation Models Can be Easy to Transfer Jindong Gu Hengshuang Zhao Volker Tresp Philip Torr AAML 41 14 0 22 Nov 2021
ADC: Adversarial attacks against object Detection that evade Context consistency checks Mingjun Yin Shasha Li Chengyu Song Ulugbek S. Kamilov A. Roy-Chowdhury S. Krishnamurthy AAML 27 22 0 24 Oct 2021
Exploiting Multi-Object Relationships for Detecting Adversarial Attacks in Complex Scenes Mingjun Yin Shasha Li Zikui Cai Chengyu Song Ulugbek S. Kamilov A. Roy-Chowdhury S. Krishnamurthy AAML 19 18 0 19 Aug 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 24 218 0 17 Jun 2021
We Can Always Catch You: Detecting Adversarial Patched Objects WITH or WITHOUT Signature Binxiu Liang Jiachun Li Jianjun Huang AAML 33 12 0 09 Jun 2021
Taxonomy of Machine Learning Safety: A Survey and Primer Sina Mohseni Haotao Wang Zhiding Yu Chaowei Xiao Zhangyang Wang J. Yadawa 21 31 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 40 130 0 08 Jan 2021
QEBA: Query-Efficient Boundary-Based Blackbox Attack Huichen Li Xiaojun Xu Xiaolu Zhang Shuang Yang Bo-wen Li AAML 21 177 0 28 May 2020
Anomalous Example Detection in Deep Learning: A Survey Saikiran Bulusu B. Kailkhura Bo-wen Li P. Varshney D. Song AAML 28 47 0 16 Mar 2020
Using Depth for Pixel-Wise Detection of Adversarial Attacks in Crowd Counting Weizhe Liu Mathieu Salzmann Pascal Fua AAML 27 9 0 26 Nov 2019
Characterizing Attacks on Deep Reinforcement Learning Xinlei Pan Chaowei Xiao Warren He Shuang Yang Jian Peng ... Jinfeng Yi Zijiang Yang Mingyan D. Liu Bo-wen Li D. Song AAML 14 69 0 21 Jul 2019
MeshAdv: Adversarial Meshes for Visual Recognition Chaowei Xiao Dawei Yang Bo-wen Li Jia Deng M. Liu AAML 30 25 0 11 Oct 2018
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition Zifeng Wu Chunhua Shen Anton Van Den Hengel SSeg 260 1,494 0 30 Nov 2016