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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
Towards Understanding and Mitigating Audio Adversarial Examples for Speaker Recognition Guangke Chen Zhe Zhao Fu Song Sen Chen Lingling Fan Feng Wang Jiashui Wang AAML 110 40 0 07 Jun 2022
A temporal chrominance trigger for clean-label backdoor attack against anti-spoof rebroadcast detection Wei Guo B. Tondi Mauro Barni AAML 60 13 0 02 Jun 2022
The robust way to stack and bag: the local Lipschitz way Thulasi Tholeti Sheetal Kalyani AAML 47 5 0 01 Jun 2022
Exposing Fine-Grained Adversarial Vulnerability of Face Anti-Spoofing Models Songlin Yang Wei Wang Chenye Xu Ziwen He Bo Peng Jing Dong AAML CVBM 67 4 0 30 May 2022
On the Robustness of Safe Reinforcement Learning under Observational Perturbations Zuxin Liu Zijian Guo Zhepeng Cen Huan Zhang Jie Tan Yue Liu Ding Zhao OOD OffRL 100 37 0 29 May 2022
R-HTDetector: Robust Hardware-Trojan Detection Based on Adversarial Training Kento Hasegawa Seira Hidano Kohei Nozawa S. Kiyomoto N. Togawa 41 25 0 27 May 2022
Adversarial attacks and defenses in Speaker Recognition Systems: A survey Jiahe Lan Rui Zhang Zheng Yan Jie Wang Yu Chen Ronghui Hou AAML 76 27 0 27 May 2022
Phantom Sponges: Exploiting Non-Maximum Suppression to Attack Deep Object Detectors Avishag Shapira Alon Zolfi Christian Scano Battista Biggio A. Shabtai AAML 107 35 0 26 May 2022
Monitoring of Perception Systems: Deterministic, Probabilistic, and Learning-based Fault Detection and Identification Pasquale Antonante Heath Nilsen Luca Carlone 96 25 0 22 May 2022
On the Feasibility and Generality of Patch-based Adversarial Attacks on Semantic Segmentation Problems Soma Kontár A. Horváth AAML 69 1 0 21 May 2022
Shadow-Aware Dynamic Convolution for Shadow Removal Yimin Xu Mingbao Lin Hong-Taek Yang Yong Li Rongrong Ji 91 22 0 10 May 2022
SoK: Rethinking Sensor Spoofing Attacks against Robotic Vehicles from a Systematic View Yuan Xu Xingshuo Han Gelei Deng Jiwei Li Yang Liu Tianwei Zhang AAML 82 20 0 10 May 2022
Btech thesis report on adversarial attack detection and purification of adverserially attacked images Dvij Kalaria AAML 27 1 0 09 May 2022
Adversarial attacks on an optical neural network Shuming Jiao Z. Song Di Zhang AAML 81 2 0 29 Apr 2022
How Sampling Impacts the Robustness of Stochastic Neural Networks Sina Daubener Asja Fischer SILM AAML 59 1 0 22 Apr 2022
Synthesizing Adversarial Visual Scenarios for Model-Based Robotic Control Shubhankar Agarwal Sandeep Chinchali AAML 104 4 0 13 Apr 2022
Adversarial Robustness through the Lens of Convolutional Filters Paul Gavrikov J. Keuper 70 15 0 05 Apr 2022
SecureSense: Defending Adversarial Attack for Secure Device-Free Human Activity Recognition Jianfei Yang Han Zou Lihua Xie AAML HAI 86 20 0 04 Apr 2022
CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters Paul Gavrikov J. Keuper AAML 107 31 0 29 Mar 2022
How Do We Fail? Stress Testing Perception in Autonomous Vehicles Harrison Delecki Masha Itkina Bernard Lange Ransalu Senanayake Mykel J. Kochenderfer 84 24 0 26 Mar 2022
Deep Learning and Artificial General Intelligence: Still a Long Way to Go M. Świechowski ELM VLM AI4CE 40 2 0 25 Mar 2022
Leveraging Adversarial Examples to Quantify Membership Information Leakage Ganesh Del Grosso Hamid Jalalzai Georg Pichler C. Palamidessi Pablo Piantanida MIACV 79 23 0 17 Mar 2022
Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations? Y. Fu Shunyao Zhang Shan-Hung Wu Cheng Wan Yingyan Lin AAML 122 67 0 16 Mar 2022
SoK: On the Semantic AI Security in Autonomous Driving Junjie Shen Ningfei Wang Ziwen Wan Yunpeng Luo Takami Sato ... Zhenyu Zhong Kang Li Ziming Zhao Chunming Qiao Qi Alfred Chen AAML 84 41 0 10 Mar 2022
Adversarial Patterns: Building Robust Android Malware Classifiers Dipkamal Bhusal Nidhi Rastogi AAML 109 1 0 04 Mar 2022
Limitations of Deep Learning for Inverse Problems on Digital Hardware Holger Boche Adalbert Fono Gitta Kutyniok 101 25 0 28 Feb 2022
A Survey of Neural Trojan Attacks and Defenses in Deep Learning Jie Wang Ghulam Mubashar Hassan Naveed Akhtar AAML 76 26 0 15 Feb 2022
Beyond NaN: Resiliency of Optimization Layers in The Face of Infeasibility Wai Tuck Wong Andrew Butler Ramesha Karunasena T. Nguyen Arunesh Sinha AAML 60 0 0 13 Feb 2022
Deadwooding: Robust Global Pruning for Deep Neural Networks Sawinder Kaur Ferdinando Fioretto Asif Salekin 82 4 0 10 Feb 2022
Gradient Methods Provably Converge to Non-Robust Networks Gal Vardi Gilad Yehudai Ohad Shamir 109 28 0 09 Feb 2022
Distributionally Robust Fair Principal Components via Geodesic Descents Hieu Vu Toan M. Tran Man-Chung Yue Viet Anh Nguyen 72 14 0 07 Feb 2022
Layer-wise Regularized Adversarial Training using Layers Sustainability Analysis (LSA) framework Mohammad Khalooei M. Homayounpour M. Amirmazlaghani AAML 73 3 0 05 Feb 2022
Improving Robustness by Enhancing Weak Subnets Yong Guo David Stutz Bernt Schiele AAML 149 15 0 30 Jan 2022
Cheating Automatic Short Answer Grading: On the Adversarial Usage of Adjectives and Adverbs Anna Filighera Sebastian Ochs Tim Steuer Thomas Tregel AAML 68 11 0 20 Jan 2022
Evaluation of Neural Networks Defenses and Attacks using NDCG and Reciprocal Rank Metrics Haya Brama L. Dery Tal Grinshpoun AAML 66 8 0 10 Jan 2022
Invariance encoding in sliced-Wasserstein space for image classification with limited training data M. Shifat-E.-Rabbi Yan Zhuang Shiying Li A. Rubaiyat Xuwang Yin Gustavo K. Rohde 93 9 0 09 Jan 2022
Towards Trustworthy AutoGrading of Short, Multi-lingual, Multi-type Answers Johannes Schneider Robin Richner Micha Riser AI4Ed 114 37 0 02 Jan 2022
Improving Deep Neural Network Classification Confidence using Heatmap-based eXplainable AI Erico Tjoa Hong Jing Khok Tushar Chouhan G. Cuntai FAtt 76 4 0 30 Dec 2021
Financial Vision Based Differential Privacy Applications Jun-Hao Chen Yi-Jen Wang Yun-Cheng Tsai Samuel Yen-Chi Chen FedML 50 1 0 28 Dec 2021
Adversarial Attacks against Windows PE Malware Detection: A Survey of the State-of-the-Art Xiang Ling Lingfei Wu Jiangyu Zhang Zhenqing Qu Wei Deng ... Chunming Wu S. Ji Tianyue Luo Jingzheng Wu Yanjun Wu AAML 147 83 0 23 Dec 2021
The King is Naked: on the Notion of Robustness for Natural Language Processing Emanuele La Malfa Marta Z. Kwiatkowska 108 27 0 13 Dec 2021
SNEAK: Synonymous Sentences-Aware Adversarial Attack on Natural Language Video Localization Wenbo Gou Wen Shi Jian Lou Lijie Huang Pan Zhou Ruixuan Li AAML 74 2 0 08 Dec 2021
Finding Deviated Behaviors of the Compressed DNN Models for Image Classifications Yongqiang Tian Wuqi Zhang Ming Wen Shing-Chi Cheung Chengnian Sun Shiqing Ma Yu Jiang 90 7 0 06 Dec 2021
Explainable Deep Learning in Healthcare: A Methodological Survey from an Attribution View Di Jin Elena Sergeeva W. Weng Geeticka Chauhan Peter Szolovits OOD 120 58 0 05 Dec 2021
Adversarial Attacks against a Satellite-borne Multispectral Cloud Detector Andrew Du Yee Wei Law Michele Sasdelli Bo Chen Ken Clarke M. Brown Tat-Jun Chin AAML 59 11 0 03 Dec 2021
A Systematic Review of Robustness in Deep Learning for Computer Vision: Mind the gap? Nathan G. Drenkow Numair Sani I. Shpitser Mathias Unberath 60 79 0 01 Dec 2021
Detecting Adversaries, yet Faltering to Noise? Leveraging Conditional Variational AutoEncoders for Adversary Detection in the Presence of Noisy Images Dvij Kalaria Aritra Hazra P. Chakrabarti AAML 130 0 0 28 Nov 2021
Learning from learning machines: a new generation of AI technology to meet the needs of science L. Pion-Tonachini K. Bouchard Héctor García Martín S. Peisert W. B. Holtz ... Rick L. Stevens Mark Anderson Ken Kreutz-Delgado Michael W. Mahoney James B. Brown 75 8 0 27 Nov 2021
A Survey on Adversarial Attacks for Malware Analysis Kshitiz Aryal Maanak Gupta Mahmoud Abdelsalam AAML 114 53 0 16 Nov 2021
RLOps: Development Life-cycle of Reinforcement Learning Aided Open RAN Peizheng Li Jonathan D. Thomas Xiaoyang Wang Ahmed Khalil A. Ahmad ... S. Kapoor Arjun Parekh A. Doufexi Arman Shojaeifard Robert Piechocki AI4TS 70 38 0 12 Nov 2021