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Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey

2 January 2018

Papers citing "Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey"

50 / 462 papers shown

Title
Bayesian Anomaly Detection and Classification E. Roberts Bruce A. Bassett Michelle Lochner 45 12 0 22 Feb 2019
Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and Future Directions F. Altaf Syed Mohammed Shamsul Islam Naveed Akhtar N. Janjua OOD 113 201 0 15 Feb 2019
A Comprehensive Overview of Biometric Fusion Maneet Singh Richa Singh Arun Ross 88 190 0 08 Feb 2019
Daedalus: Breaking Non-Maximum Suppression in Object Detection via Adversarial Examples Derui Wang Chaoran Li S. Wen Qing-Long Han Surya Nepal Xiangyu Zhang Yang Xiang AAML 84 41 0 06 Feb 2019
Augmenting Model Robustness with Transformation-Invariant Attacks Houpu Yao Zhe Wang Guangyu Nie Yassine Mazboudi Yezhou Yang Yi Ren AAML OOD 33 3 0 31 Jan 2019
Defense Methods Against Adversarial Examples for Recurrent Neural Networks Ishai Rosenberg A. Shabtai Yuval Elovici Lior Rokach AAML GAN 81 42 0 28 Jan 2019
An Information-Theoretic Explanation for the Adversarial Fragility of AI Classifiers Hui Xie Jirong Yi Weiyu Xu R. Mudumbai AAML 49 3 0 27 Jan 2019
Sensitivity Analysis of Deep Neural Networks Hai Shu Hongtu Zhu AAML 46 53 0 22 Jan 2019
Adversarial Attacks on Deep Learning Models in Natural Language Processing: A Survey W. Zhang Quan Z. Sheng A. Alhazmi Chenliang Li AAML 125 57 0 21 Jan 2019
Image Super-Resolution as a Defense Against Adversarial Attacks Aamir Mustafa Salman H. Khan Munawar Hayat Jianbing Shen Ling Shao AAML SupR 102 176 0 07 Jan 2019
Adversarial Examples Versus Cloud-based Detectors: A Black-box Empirical Study Xurong Li S. Ji Men Han Juntao Ji Zhenyu Ren Yushan Liu Chunming Wu AAML 96 31 0 04 Jan 2019
Adversarial CAPTCHAs Chenghui Shi Xiaogang Xu S. Ji Kai Bu Jianhai Chen R. Beyah Ting Wang AAML 51 53 0 04 Jan 2019
A Noise-Sensitivity-Analysis-Based Test Prioritization Technique for Deep Neural Networks Long Zhang Xuechao Sun Yong Li Zhenyu Zhang AAML 53 22 0 01 Jan 2019
Spartan Networks: Self-Feature-Squeezing Neural Networks for increased robustness in adversarial settings François Menet Paul Berthier José M. Fernandez M. Gagnon AAML 27 10 0 17 Dec 2018
Perturbation Analysis of Learning Algorithms: A Unifying Perspective on Generation of Adversarial Examples E. Balda Arash Behboodi R. Mathar AAML 34 5 0 15 Dec 2018
Disentangling Adversarial Robustness and Generalization David Stutz Matthias Hein Bernt Schiele AAML OOD 319 285 0 03 Dec 2018
Universal Perturbation Attack Against Image Retrieval Jie Li Rongrong Ji Hong Liu Xiaopeng Hong Yue Gao Q. Tian AAML 110 100 0 03 Dec 2018
SentiNet: Detecting Localized Universal Attacks Against Deep Learning Systems Edward Chou Florian Tramèr Giancarlo Pellegrino AAML 242 295 0 02 Dec 2018
Transferable Adversarial Attacks for Image and Video Object Detection Xingxing Wei Siyuan Liang Ning Chen Xiaochun Cao AAML 166 225 0 30 Nov 2018
Attacks on State-of-the-Art Face Recognition using Attentional Adversarial Attack Generative Network Q. Song Yingqi Wu Lu Yang AAML CVBM GAN 127 98 0 29 Nov 2018
Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness against Adversarial Attack Adnan Siraj Rakin Zhezhi He Deliang Fan AAML 69 292 0 22 Nov 2018
Strength in Numbers: Trading-off Robustness and Computation via Adversarially-Trained Ensembles Edward Grefenstette Robert Stanforth Brendan O'Donoghue J. Uesato G. Swirszcz Pushmeet Kohli AAML 80 18 0 22 Nov 2018
Detecting Adversarial Perturbations Through Spatial Behavior in Activation Spaces Ziv Katzir Yuval Elovici AAML 60 26 0 22 Nov 2018
Recognizing Disguised Faces in the Wild Maneet Singh Richa Singh Mayank Vatsa Nalini Ratha Rama Chellappa CVBM 78 55 0 21 Nov 2018
Convolutional Neural Networks with Transformed Input based on Robust Tensor Network Decomposition Jenn-Bing Ong W. Ng C.-C. Jay Kuo AAML 59 0 0 20 Nov 2018
Mathematical Analysis of Adversarial Attacks Zehao Dou Stanley J. Osher Bao Wang AAML 67 18 0 15 Nov 2018
On the Transferability of Adversarial Examples Against CNN-Based Image Forensics Mauro Barni Kassem Kallas Ehsan Nowroozi B. Tondi AAML 71 34 0 05 Nov 2018
Improving Adversarial Robustness by Encouraging Discriminative Features Chirag Agarwal Anh Totti Nguyen Dan Schonfeld OOD 70 5 0 01 Nov 2018
A Brief Survey on Autonomous Vehicle Possible Attacks, Exploits and Vulnerabilities Amara Dinesh Kumar Koti Naga Renu Chebrolu Kp Soman AAML 36 31 0 03 Oct 2018
Adversarial Examples - A Complete Characterisation of the Phenomenon A. Serban E. Poll Joost Visser SILM AAML 102 49 0 02 Oct 2018
Adversarial Attacks and Defences: A Survey Anirban Chakraborty Manaar Alam Vishal Dey Anupam Chattopadhyay Debdeep Mukhopadhyay AAML OOD 150 684 0 28 Sep 2018
Adversarial Attacks on Cognitive Self-Organizing Networks: The Challenge and the Way Forward Muhammad Usama Junaid Qadir Ala I. Al-Fuqaha AAML 53 20 0 26 Sep 2018
Exploring the Vulnerability of Single Shot Module in Object Detectors via Imperceptible Background Patches Yuezun Li Xiao Bian Ming-Ching Chang Siwei Lyu AAML ObjD 78 31 0 16 Sep 2018
Adversarial Examples: Opportunities and Challenges Jiliang Zhang Chen Li AAML 76 235 0 13 Sep 2018
Beyond Pixel Norm-Balls: Parametric Adversaries using an Analytically Differentiable Renderer Hsueh-Ti Derek Liu Michael Tao Chun-Liang Li Derek Nowrouzezahrai Alec Jacobson AAML 84 13 0 08 Aug 2018
Enabling Trust in Deep Learning Models: A Digital Forensics Case Study Aditya K Slawomir Grzonkowski NhienAn Lekhac 44 27 0 03 Aug 2018
Generalization Error in Deep Learning Daniel Jakubovitz Raja Giryes M. Rodrigues AI4CE 244 111 0 03 Aug 2018
Gradient Band-based Adversarial Training for Generalized Attack Immunity of A3C Path Finding Tong Chen Wenjia Niu Yingxiao Xiang XiaoXuan Bai Jiqiang Liu Zhen Han Gang Li AAML 62 24 0 18 Jul 2018
Deep Learning in the Wild Thilo Stadelmann Mohammadreza Amirian Ismail Arabaci M. Arnold G. Duivesteijn ... Melanie Geiger Stefan Lörwald B. Meier Katharina Rombach Lukas Tuggener 67 42 0 13 Jul 2018
Attack and defence in cellular decision-making: lessons from machine learning Thomas J. Rademaker Emmanuel Bengio P. Franccois AAML 51 4 0 10 Jul 2018
Local Gradients Smoothing: Defense against localized adversarial attacks Muzammal Naseer Salman H. Khan Fatih Porikli AAML 106 163 0 03 Jul 2018
Hardware Trojan Attacks on Neural Networks Joseph Clements Yingjie Lao AAML 78 89 0 14 Jun 2018
Adversarial Attacks on Face Detectors using Neural Net based Constrained Optimization A. Bose P. Aarabi AAML 70 89 0 31 May 2018
Training verified learners with learned verifiers Krishnamurthy Dvijotham Sven Gowal Robert Stanforth Relja Arandjelović Brendan O'Donoghue J. Uesato Pushmeet Kohli OOD 114 170 0 25 May 2018
Bidirectional Learning for Robust Neural Networks S. Pontes-Filho Marcus Liwicki 70 9 0 21 May 2018
Featurized Bidirectional GAN: Adversarial Defense via Adversarially Learned Semantic Inference Ruying Bao Sihang Liang Qingcan Wang GAN AAML 71 14 0 21 May 2018
VectorDefense: Vectorization as a Defense to Adversarial Examples V. Kabilan Brandon L. Morris Anh Totti Nguyen AAML 66 21 0 23 Apr 2018
ADef: an Iterative Algorithm to Construct Adversarial Deformations Rima Alaifari Giovanni S. Alberti Tandri Gauksson AAML 112 97 0 20 Apr 2018
ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector Shang-Tse Chen Cory Cornelius Jason Martin Duen Horng Chau ObjD 251 429 0 16 Apr 2018
Defending against Adversarial Images using Basis Functions Transformations Uri Shaham J. Garritano Yutaro Yamada Ethan Weinberger A. Cloninger Xiuyuan Cheng Kelly P. Stanton Y. Kluger AAML 69 57 0 28 Mar 2018