v1v2v3 (latest)

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
On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them Chen Liu Mathieu Salzmann Tao R. Lin Ryota Tomioka Sabine Süsstrunk AAML 136 82 0 15 Jun 2020
Defensive Approximation: Securing CNNs using Approximate Computing Amira Guesmi Ihsen Alouani Khaled N. Khasawneh M. Baklouti T. Frikha Mohamed Abid Nael B. Abu-Ghazaleh AAML 93 38 0 13 Jun 2020
Adversarial Attacks and Defense on Texts: A Survey A. Huq Mst. Tasnim Pervin AAML 158 21 0 28 May 2020
A Protection against the Extraction of Neural Network Models H. Chabanne Vincent Despiegel Linda Guiga FedML 83 5 0 26 May 2020
Increasing-Margin Adversarial (IMA) Training to Improve Adversarial Robustness of Neural Networks Linhai Ma Liang Liang AAML 149 19 0 19 May 2020
Data-Free Network Quantization With Adversarial Knowledge Distillation Yoojin Choi Jihwan P. Choi Mostafa El-Khamy Jungwon Lee MQ 76 121 0 08 May 2020
A Review of Computer Vision Methods in Network Security Jiawei Zhao Rahat Masood Suranga Seneviratne AAML 52 48 0 07 May 2020
Adversarial Training against Location-Optimized Adversarial Patches Sukrut Rao David Stutz Bernt Schiele AAML 84 93 0 05 May 2020
Depth-2 Neural Networks Under a Data-Poisoning Attack Sayar Karmakar Anirbit Mukherjee Ramchandran Muthukumar 68 7 0 04 May 2020
Generative Adversarial Networks (GANs Survey): Challenges, Solutions, and Future Directions Divya Saxena Jiannong Cao AAML AI4CE 165 308 0 30 Apr 2020
Adversarial Machine Learning in Network Intrusion Detection Systems Elie Alhajjar P. Maxwell Nathaniel D. Bastian GAN SILM AAML 105 141 0 23 Apr 2020
Certifiable Robustness to Adversarial State Uncertainty in Deep Reinforcement Learning Michael Everett Bjorn Lutjens Jonathan P. How AAML 55 42 0 11 Apr 2020
Blind Adversarial Training: Balance Accuracy and Robustness Haidong Xie Xueshuang Xiang Naijin Liu Bin Dong AAML 34 2 0 10 Apr 2020
Learning to fool the speaker recognition Jiguo Li Xinfeng Zhang Jizheng Xu Li Zhang Y. Wang Siwei Ma Wen Gao AAML 56 21 0 07 Apr 2020
TensorFI: A Flexible Fault Injection Framework for TensorFlow Applications Zitao Chen Niranjhana Narayanan Bo Fang Guanpeng Li Karthik Pattabiraman Nathan Debardeleben 48 71 0 03 Apr 2020
A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects Zewen Li Wenjie Yang Shouheng Peng Fan Liu HAI 3DV 167 2,794 0 01 Apr 2020
An Overview of Federated Deep Learning Privacy Attacks and Defensive Strategies David Enthoven Zaid Al-Ars FedML 93 51 0 01 Apr 2020
Adversarial Attacks on Multivariate Time Series Samuel Harford Fazle Karim H. Darabi AI4TS AAML 55 22 0 31 Mar 2020
Code Prediction by Feeding Trees to Transformers Seohyun Kim Jinman Zhao Yuchi Tian S. Chandra 150 220 0 30 Mar 2020
Challenging the adversarial robustness of DNNs based on error-correcting output codes Bowen Zhang B. Tondi Xixiang Lv Mauro Barni AAML 25 2 0 26 Mar 2020
Heat and Blur: An Effective and Fast Defense Against Adversarial Examples Haya Brama Tal Grinshpoun AAML 88 6 0 17 Mar 2020
Double Backpropagation for Training Autoencoders against Adversarial Attack Chengjin Sun Sizhe Chen Xiaolin Huang SILM AAML 81 5 0 04 Mar 2020
Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial Robustness Ahmadreza Jeddi M. Shafiee Michelle Karg C. Scharfenberger A. Wong OOD AAML 129 67 0 02 Mar 2020
Dam Burst: A region-merging-based image segmentation method Rui Tang Wenlong Song Xiao-Yu Guan Huibin Ge Deke Kong 23 1 0 26 Feb 2020
Automatic Shortcut Removal for Self-Supervised Representation Learning Matthias Minderer Olivier Bachem N. Houlsby Michael Tschannen SSL 94 73 0 20 Feb 2020
Identifying Audio Adversarial Examples via Anomalous Pattern Detection Victor Akinwande C. Cintas Skyler Speakman Srihari Sridharan AAML 73 17 0 13 Feb 2020
AI safety: state of the field through quantitative lens Mislav Juric A. Sandic Mario Brčič 100 24 0 12 Feb 2020
From Data to Actions in Intelligent Transportation Systems: a Prescription of Functional Requirements for Model Actionability I. Laña J. S. Medina E. Vlahogianni Javier Del Ser 108 52 0 06 Feb 2020
Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning Inaam Ilahi Muhammad Usama Junaid Qadir M. Janjua Ala I. Al-Fuqaha D. Hoang Dusit Niyato AAML 147 137 0 27 Jan 2020
Analyzing the Noise Robustness of Deep Neural Networks Kelei Cao Mengchen Liu Hang Su Jing Wu Jun Zhu Shixia Liu AAML 140 91 0 26 Jan 2020
On the human evaluation of audio adversarial examples Jon Vadillo Roberto Santana AAML 55 3 0 23 Jan 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications Jie Gui Zhenan Sun Yonggang Wen Dacheng Tao Jieping Ye EGVM 111 847 0 20 Jan 2020
A Little Fog for a Large Turn Harshitha Machiraju V. Balasubramanian AAML 69 10 0 16 Jan 2020
Universal Adversarial Attack on Attention and the Resulting Dataset DAmageNet Sizhe Chen Zhengbao He Chengjin Sun Jie Yang Xiaolin Huang AAML 121 105 0 16 Jan 2020
Humpty Dumpty: Controlling Word Meanings via Corpus Poisoning R. Schuster Tal Schuster Yoav Meri Vitaly Shmatikov AAML 73 39 0 14 Jan 2020
Guess First to Enable Better Compression and Adversarial Robustness Sicheng Zhu Bang An Shiyu Niu AAML 44 0 0 10 Jan 2020
PaRoT: A Practical Framework for Robust Deep Neural Network Training Edward W. Ayers Francisco Eiras Majd Hawasly I. Whiteside OOD 97 19 0 07 Jan 2020
PrivacyNet: Semi-Adversarial Networks for Multi-attribute Face Privacy Vahid Mirjalili S. Raschka Arun Ross PICV CVBM 97 104 0 02 Jan 2020
Deep Representation Learning in Speech Processing: Challenges, Recent Advances, and Future Trends S. Latif R. Rana Sara Khalifa Raja Jurdak Junaid Qadir Björn W. Schuller AI4TS 104 82 0 02 Jan 2020
Explainability and Adversarial Robustness for RNNs Alexander Hartl Maximilian Bachl J. Fabini Tanja Zseby AAML 59 32 0 20 Dec 2019
What Else Can Fool Deep Learning? Addressing Color Constancy Errors on Deep Neural Network Performance Mahmoud Afifi M. Brown AAML 86 115 0 15 Dec 2019
Deep Learning-Based Feature-Aware Data Modeling for Complex Physics Simulations Qun Liu Subhashis Hazarika J. Patchett J. Ahrens Ayan Biswas AI4CE 38 3 0 08 Dec 2019
A Survey of Black-Box Adversarial Attacks on Computer Vision Models Siddhant Bhambri Sumanyu Muku Avinash Tulasi Arun Balaji Buduru AAML VLM 83 79 0 03 Dec 2019
Square Attack: a query-efficient black-box adversarial attack via random search Maksym Andriushchenko Francesco Croce Nicolas Flammarion Matthias Hein AAML 195 997 0 29 Nov 2019
Universal adversarial examples in speech command classification Jon Vadillo Roberto Santana AAML 91 30 0 22 Nov 2019
Analysis of Deep Networks for Monocular Depth Estimation Through Adversarial Attacks with Proposal of a Defense Method Junjie Hu Takayuki Okatani AAML MDE 67 17 0 20 Nov 2019
Adversarial Examples in Modern Machine Learning: A Review R. Wiyatno Anqi Xu Ousmane Amadou Dia A. D. Berker AAML 127 105 0 13 Nov 2019
The Threat of Adversarial Attacks on Machine Learning in Network Security -- A Survey Olakunle Ibitoye Rana Abou-Khamis Mohamed el Shehaby Ashraf Matrawy M. O. Shafiq AAML 104 70 0 06 Nov 2019
DLA: Dense-Layer-Analysis for Adversarial Example Detection Philip Sperl Ching-yu Kao Peng Chen Konstantin Böttinger AAML 61 34 0 05 Nov 2019
Adversarial Example in Remote Sensing Image Recognition Li Chen Guowei Zhu Qi Li Haifeng Li AAML 60 27 0 29 Oct 2019