Fooling automated surveillance cameras: adversarial patches to attack person detection

18 April 2019

Papers citing "Fooling automated surveillance cameras: adversarial patches to attack person detection"

50 / 275 papers shown

Title
MISA: Online Defense of Trojaned Models using Misattributions Panagiota Kiourti Wenchao Li Anirban Roy Karan Sikka Susmit Jha 21 10 0 29 Mar 2021
Adversarial Attacks on Camera-LiDAR Models for 3D Car Detection Mazen Abdelfattah Kaiwen Yuan Z. J. Wang Rabab Ward 3DPC 16 30 0 17 Mar 2021
Adversarial YOLO: Defense Human Detection Patch Attacks via Detecting Adversarial Patches Nan Ji YanFei Feng Haidong Xie Xueshuang Xiang Naijin Liu AAML 58 33 0 16 Mar 2021
Evaluation Framework for Performance Limitation of Autonomous Systems under Sensor Attack Koichi Shimizu D. Suzuki Ryosuke Muramatsu H. Mori Tomoyuki Nagatsuka Tsutomu Matsumoto AAML 17 2 0 12 Mar 2021
Differentially Private Imaging via Latent Space Manipulation Tao Li Chris Clifton PICV DiffM 36 20 0 08 Mar 2021
Efficient Certified Defenses Against Patch Attacks on Image Classifiers J. H. Metzen Maksym Yatsura AAML 23 40 0 08 Feb 2021
DetectorGuard: Provably Securing Object Detectors against Localized Patch Hiding Attacks Chong Xiang Prateek Mittal AAML 29 52 0 05 Feb 2021
Towards Universal Physical Attacks On Cascaded Camera-Lidar 3D Object Detection Models Mazen Abdelfattah Kaiwen Yuan Z. J. Wang Rabab Ward 3DPC 18 31 0 26 Jan 2021
Fooling thermal infrared pedestrian detectors in real world using small bulbs Xiaopei Zhu Xiao-Li Li Jianmin Li Zheyao Wang Xiaolin Hu AAML 115 87 0 20 Jan 2021
Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead Mohamed Bennai Mahum Naseer T. Theocharides C. Kyrkou O. Mutlu Lois Orosa Jungwook Choi OOD 81 100 0 04 Jan 2021
Patch-wise++ Perturbation for Adversarial Targeted Attacks Lianli Gao Qilong Zhang Jingkuan Song Heng Tao Shen AAML 35 17 0 31 Dec 2020
The Translucent Patch: A Physical and Universal Attack on Object Detectors Alon Zolfi Moshe Kravchik Yuval Elovici A. Shabtai AAML 25 88 0 23 Dec 2020
Unadversarial Examples: Designing Objects for Robust Vision Hadi Salman Andrew Ilyas Logan Engstrom Sai H. Vemprala A. Madry Ashish Kapoor WIGM 73 59 0 22 Dec 2020
Robustness and Transferability of Universal Attacks on Compressed Models Alberto G. Matachana Kenneth T. Co Luis Muñoz-González David Martínez Emil C. Lupu AAML 29 10 0 10 Dec 2020
Are DNNs fooled by extremely unrecognizable images? Soichiro Kumano Hiroshi Kera T. Yamasaki AAML 23 2 0 07 Dec 2020
Detecting Trojaned DNNs Using Counterfactual Attributions Karan Sikka Indranil Sur Susmit Jha Anirban Roy Ajay Divakaran AAML 17 12 0 03 Dec 2020
Incorporating Hidden Layer representation into Adversarial Attacks and Defences Haojing Shen Sihong Chen Ran Wang Xizhao Wang AAML 8 0 0 28 Nov 2020
3D Invisible Cloak Mingfu Xue Can He Zhiyu Wu Jian Wang Zhe Liu Weiqiang Liu 20 1 0 27 Nov 2020
Adversarial Attack on Facial Recognition using Visible Light Morgan Frearson Kien Nguyen AAML 24 7 0 25 Nov 2020
Detecting Adversarial Patches with Class Conditional Reconstruction Networks Perry Deng Mohammad Saidur Rahman M. Wright AAML 14 2 0 11 Nov 2020
Dynamic Adversarial Patch for Evading Object Detection Models Shahar Hoory T. Shapira A. Shabtai Yuval Elovici AAML 18 41 0 25 Oct 2020
Detecting Anomalies from Video-Sequences: a Novel Descriptor G. Orrú Davide Ghiani Maura Pintor G. L. Marcialis Fabio Roli 13 7 0 13 Oct 2020
Security and Privacy Considerations for Machine Learning Models Deployed in the Government and Public Sector (white paper) Nader Sehatbakhsh E. Daw O. Savas Amin Hassanzadeh I. Mcculloh SILM 16 1 0 12 Oct 2020
Visual Object Recognition in Indoor Environments Using Topologically Persistent Features Ekta U. Samani Xingjian Yang A. Banerjee 22 14 0 07 Oct 2020
Adversarial Patch Attacks on Monocular Depth Estimation Networks Koichiro Yamanaka R. Matsumoto Keita Takahashi T. Fujii GAN AAML MDE 22 36 0 06 Oct 2020
Adversarial Robustness of Stabilized NeuralODEs Might be from Obfuscated Gradients Yifei Huang Yaodong Yu Hongyang R. Zhang Yi Ma Yuan Yao AAML 37 26 0 28 Sep 2020
Generating Adversarial yet Inconspicuous Patches with a Single Image Jinqi Luo Tao Bai Jun Zhao AAML 27 6 0 21 Sep 2020
Vax-a-Net: Training-time Defence Against Adversarial Patch Attacks Thomas Gittings Steve A. Schneider John Collomosse AAML 17 13 0 17 Sep 2020
Defending Against Multiple and Unforeseen Adversarial Videos Shao-Yuan Lo Vishal M. Patel AAML 31 23 0 11 Sep 2020
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective G. R. Machado Eugênio Silva R. Goldschmidt AAML 33 157 0 08 Sep 2020
Adversarial Patch Camouflage against Aerial Detection Ajaya Adhikari R. D. Hollander I. Tolios M. V. Bekkum Anneloes M. Bal ... Dennis Gross N. Jansen Guillermo A. Pérez Kit Buurman S. Raaijmakers AAML 29 43 0 31 Aug 2020
Developing and Defeating Adversarial Examples Ian McDiarmid-Sterling Allan Moser AAML 6 0 0 23 Aug 2020
Relevance Attack on Detectors Sizhe Chen Fan He Xiaolin Huang Kun Zhang AAML 24 16 0 16 Aug 2020
Adversarial Examples on Object Recognition: A Comprehensive Survey A. Serban E. Poll Joost Visser AAML 32 73 0 07 Aug 2020
Robust Machine Learning via Privacy/Rate-Distortion Theory Ye Wang Shuchin Aeron Adnan Siraj Rakin T. Koike-Akino P. Moulin OOD 22 6 0 22 Jul 2020
Backdoor Learning: A Survey Yiming Li Yong Jiang Zhifeng Li Shutao Xia AAML 45 592 0 17 Jul 2020
Towards robust sensing for Autonomous Vehicles: An adversarial perspective Apostolos Modas Ricardo Sánchez-Matilla P. Frossard Andrea Cavallaro AAML 22 35 0 14 Jul 2020
Patch-wise Attack for Fooling Deep Neural Network Lianli Gao Qilong Zhang Jingkuan Song Xianglong Liu Heng Tao Shen AAML 32 138 0 14 Jul 2020
Understanding Object Detection Through An Adversarial Lens Ka-Ho Chow Ling Liu Mehmet Emre Gursoy Stacey Truex Wenqi Wei Yanzhao Wu AAML ObjD 16 24 0 11 Jul 2020
Adversarial Robustness of Deep Sensor Fusion Models Shaojie Wang Tong Wu Ayan Chakrabarti Yevgeniy Vorobeychik AAML 23 10 0 23 Jun 2020
Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks Francesco Croce Maksym Andriushchenko Naman D. Singh Nicolas Flammarion Matthias Hein 26 99 0 23 Jun 2020
Local Competition and Uncertainty for Adversarial Robustness in Deep Learning Antonios Alexos Konstantinos P. Panousis S. Chatzis OOD AAML 6 3 0 18 Jun 2020
Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies Yu Huang Yue Chen 3DPC 54 83 0 10 Jun 2020
GAP++: Learning to generate target-conditioned adversarial examples Xiaofeng Mao YueFeng Chen Yuhong Li Yuan He Hui Xue AAML 18 8 0 09 Jun 2020
Bias-based Universal Adversarial Patch Attack for Automatic Check-out Aishan Liu Jiakai Wang Xianglong Liu Bowen Cao Chongzhi Zhang Hang Yu AAML 16 5 0 19 May 2020
PatchGuard: A Provably Robust Defense against Adversarial Patches via Small Receptive Fields and Masking Chong Xiang A. Bhagoji Vikash Sehwag Prateek Mittal AAML 30 29 0 17 May 2020
Minority Reports Defense: Defending Against Adversarial Patches Michael McCoyd Won Park Steven Chen Neil Shah Ryan Roggenkemper Minjune Hwang J. Liu David Wagner AAML 11 54 0 28 Apr 2020
Adversarial Attacks and Defenses: An Interpretation Perspective Ninghao Liu Mengnan Du Ruocheng Guo Huan Liu Xia Hu AAML 31 8 0 23 Apr 2020
Rethinking the Trigger of Backdoor Attack Yiming Li Tongqing Zhai Baoyuan Wu Yong-jia Jiang Zhifeng Li Shutao Xia LLMSV 6 148 0 09 Apr 2020
Adversarial Light Projection Attacks on Face Recognition Systems: A Feasibility Study Luan Nguyen Sunpreet S. Arora Yuhang Wu Hao Yang AAML 25 88 0 24 Mar 2020