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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
Gradient Starvation: A Learning Proclivity in Neural Networks Mohammad Pezeshki Sekouba Kaba Yoshua Bengio Aaron Courville Doina Precup Guillaume Lajoie MLT 162 269 0 18 Nov 2020
Do Fine-tuned Commonsense Language Models Really Generalize? Mayank Kejriwal Ke Shen ELM LRM 57 10 0 18 Nov 2020
Extreme Value Preserving Networks Mingjie Sun Jianguo Li Changshui Zhang AAML MDE 35 0 0 17 Nov 2020
Bridging the Performance Gap between FGSM and PGD Adversarial Training Tianjin Huang Vlado Menkovski Yulong Pei Mykola Pechenizkiy AAML 46 20 0 07 Nov 2020
Recent Advances in Understanding Adversarial Robustness of Deep Neural Networks Tao Bai Jinqi Luo Jun Zhao AAML 87 8 0 03 Nov 2020
Blockchain based Attack Detection on Machine Learning Algorithms for IoT based E-Health Applications Thippa Reddy Gadekallu Manoj M K Sivarama Krishnan S Neeraj Kumar S. Hakak S. Bhattacharya OOD 66 54 0 03 Nov 2020
Perception Matters: Exploring Imperceptible and Transferable Anti-forensics for GAN-generated Fake Face Imagery Detection Yongwei Wang Xin Ding Li Ding Rabab Ward Z. J. Wang AAML 43 21 0 29 Oct 2020
A Survey of Machine Learning Techniques in Adversarial Image Forensics Ehsan Nowroozi Ali Dehghantanha R. Parizi K. Choo AAML 71 73 0 19 Oct 2020
Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness Guillermo Ortiz-Jiménez Apostolos Modas Seyed-Mohsen Moosavi-Dezfooli P. Frossard AAML 129 48 0 19 Oct 2020
Characterizing and Taming Model Instability Across Edge Devices Eyal Cidon Evgenya Pergament Zain Asgar Asaf Cidon Sachin Katti 65 7 0 18 Oct 2020
An Evasion Attack against Stacked Capsule Autoencoder Jiazhu Dai Siwei Xiong AAML 46 1 0 14 Oct 2020
Toward Few-step Adversarial Training from a Frequency Perspective H. Wang Cory Cornelius Brandon Edwards Jason Martin AAML 51 4 0 13 Oct 2020
Targeted Physical-World Attention Attack on Deep Learning Models in Road Sign Recognition Xinghao Yang Weifeng Liu Shengli Zhang Wei Liu Dacheng Tao AAML 45 30 0 09 Oct 2020
CD-UAP: Class Discriminative Universal Adversarial Perturbation Chaoning Zhang Philipp Benz Tooba Imtiaz In So Kweon AAML 63 61 0 07 Oct 2020
Double Targeted Universal Adversarial Perturbations Philipp Benz Chaoning Zhang Tooba Imtiaz In So Kweon AAML 95 48 0 07 Oct 2020
A Geometry-Inspired Attack for Generating Natural Language Adversarial Examples Zhao Meng Roger Wattenhofer GAN AAML 69 32 0 03 Oct 2020
Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey Wenshuai Zhao Jorge Peña Queralta Tomi Westerlund OffRL 265 743 0 24 Sep 2020
Crafting Adversarial Examples for Deep Learning Based Prognostics (Extended Version) Gautam Raj Mode K. A. Hoque AAML 68 19 0 21 Sep 2020
OpenAttack: An Open-source Textual Adversarial Attack Toolkit Guoyang Zeng Fanchao Qi Qianrui Zhou Ting Zhang Zixian Ma Bairu Hou Yuan Zang Zhiyuan Liu Maosong Sun AAML 213 126 0 19 Sep 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 201 80 0 17 Sep 2020
Risk Bounds for Robust Deep Learning Johannes Lederer OOD 59 16 0 14 Sep 2020
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective G. R. Machado Eugênio Silva R. Goldschmidt AAML 136 164 0 08 Sep 2020
Adversarial attacks on deep learning models for fatty liver disease classification by modification of ultrasound image reconstruction method Michal Byra G. Styczynski C. Szmigielski P. Kalinowski L. Michalowski R. Paluszkiewicz B. Ziarkiewicz-Wróblewska K. Zieniewicz A. Nowicki AAML MedIm 72 17 0 07 Sep 2020
Dynamically Computing Adversarial Perturbations for Recurrent Neural Networks Shankar A. Deka D. Stipanović Claire Tomlin AAML 54 7 0 07 Sep 2020
Ramifications of Approximate Posterior Inference for Bayesian Deep Learning in Adversarial and Out-of-Distribution Settings John Mitros A. Pakrashi Brian Mac Namee UQCV 114 2 0 03 Sep 2020
Shape Defense Against Adversarial Attacks Ali Borji AAML 50 1 0 31 Aug 2020
Neural Bridge Sampling for Evaluating Safety-Critical Autonomous Systems Aman Sinha Matthew O'Kelly Russ Tedrake John C. Duchi 102 49 0 24 Aug 2020
One-pixel Signature: Characterizing CNN Models for Backdoor Detection Shanjiaoyang Huang Weiqi Peng Zhiwei Jia Zhuowen Tu 58 64 0 18 Aug 2020
A Deep Dive into Adversarial Robustness in Zero-Shot Learning M. K. Yucel R. G. Cinbis P. D. Sahin VLM 70 7 0 17 Aug 2020
Trust-Based Cloud Machine Learning Model Selection For Industrial IoT and Smart City Services Basheer Qolomany Ihab Mohammed Ala I. Al-Fuqaha Mohsen Guizani Junaid Qadir 54 36 0 11 Aug 2020
Adversarial Examples on Object Recognition: A Comprehensive Survey A. Serban E. Poll Joost Visser AAML 118 73 0 07 Aug 2020
Hardware Accelerator for Adversarial Attacks on Deep Learning Neural Networks Haoqiang Guo Lu Peng Jian Zhang Fang Qi Lide Duan AAML 50 6 0 03 Aug 2020
State-of-the-art Techniques in Deep Edge Intelligence Ahnaf Hannan Lodhi Barış Akgün Öznur Özkasap 58 5 0 03 Aug 2020
Securing CNN Model and Biometric Template using Blockchain Akhil Goel Akshay Agarwal Mayank Vatsa Richa Singh Nalini Ratha 63 31 0 31 Jul 2020
Cassandra: Detecting Trojaned Networks from Adversarial Perturbations Xiaoyu Zhang Ajmal Mian Rohit Gupta Nazanin Rahnavard M. Shah AAML 96 26 0 28 Jul 2020
The Representation Theory of Neural Networks M. Armenta Pierre-Marc Jodoin 113 31 0 23 Jul 2020
Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review Yansong Gao Bao Gia Doan Zhi-Li Zhang Siqi Ma Jiliang Zhang Anmin Fu Surya Nepal Hyoungshick Kim AAML 131 235 0 21 Jul 2020
Towards Visual Distortion in Black-Box Attacks Nannan Li Zhenzhong Chen 89 12 0 21 Jul 2020
Backdoor Learning: A Survey Yiming Li Yong Jiang Zhifeng Li Shutao Xia AAML 193 623 0 17 Jul 2020
Learning from Noisy Labels with Deep Neural Networks: A Survey Hwanjun Song Minseok Kim Dongmin Park Yooju Shin Jae-Gil Lee NoLa 144 1,009 0 16 Jul 2020
Understanding Adversarial Examples from the Mutual Influence of Images and Perturbations Chaoning Zhang Philipp Benz Tooba Imtiaz In-So Kweon SSL AAML 87 119 0 13 Jul 2020
Detection of Gravitational Waves Using Bayesian Neural Networks Yu-Chiung Lin Jiun-Huei Proty Wu 67 27 0 08 Jul 2020
Text Data Augmentation: Towards better detection of spear-phishing emails Mehdi Regina Maxime Meyer S. Goutal 72 18 0 04 Jul 2020
Opportunities and Challenges in Deep Learning Adversarial Robustness: A Survey S. Silva Peyman Najafirad AAML OOD 111 135 0 01 Jul 2020
Adversarial Example Games A. Bose Gauthier Gidel Hugo Berrard Andre Cianflone Pascal Vincent Simon Lacoste-Julien William L. Hamilton AAML GAN 143 52 0 01 Jul 2020
Black-box Certification and Learning under Adversarial Perturbations H. Ashtiani Vinayak Pathak Ruth Urner AAML 64 20 0 30 Jun 2020
DeepAbstract: Neural Network Abstraction for Accelerating Verification P. Ashok Vahid Hashemi Jan Křetínský S. Mohr 49 50 0 24 Jun 2020
Differentiable Language Model Adversarial Attacks on Categorical Sequence Classifiers I. Fursov A. Zaytsev Nikita Klyuchnikov A. Kravchenko Evgeny Burnaev AAML SILM 62 5 0 19 Jun 2020
Towards an Adversarially Robust Normalization Approach Muhammad Awais Fahad Shamshad Sung-Ho Bae AAML OOD 122 19 0 19 Jun 2020
OGAN: Disrupting Deepfakes with an Adversarial Attack that Survives Training Eran Segalis Eran Galili 69 17 0 17 Jun 2020