UPSET and ANGRI : Breaking High Performance Image Classifiers

4 July 2017

Papers citing "UPSET and ANGRI : Breaking High Performance Image Classifiers"

36 / 36 papers shown

Title
Sparse and Transferable Universal Singular Vectors Attack Kseniia Kuvshinova Olga Tsymboi Ivan V. Oseledets AAML 22 0 0 25 Jan 2024
A Comprehensive Study on the Robustness of Image Classification and Object Detection in Remote Sensing: Surveying and Benchmarking Shaohui Mei Jiawei Lian Xiaofei Wang Yuru Su Mingyang Ma Lap-Pui Chau AAML 14 11 0 21 Jun 2023
Edge Learning for 6G-enabled Internet of Things: A Comprehensive Survey of Vulnerabilities, Datasets, and Defenses M. Ferrag Othmane Friha B. Kantarci Norbert Tihanyi Lucas C. Cordeiro Merouane Debbah Djallel Hamouda Muna Al-Hawawreh K. Choo 23 42 0 17 Jun 2023
Adversarially-Aware Robust Object Detector Ziyi Dong Pengxu Wei Liang Lin AAML ObjD 14 27 0 13 Jul 2022
Towards Robust Stacked Capsule Autoencoder with Hybrid Adversarial Training Jiazhu Dai Siwei Xiong AAML 13 2 0 28 Feb 2022
Rank List Sensitivity of Recommender Systems to Interaction Perturbations Sejoon Oh Berk Ustun Julian McAuley Srijan Kumar 20 34 0 29 Jan 2022
Parameter identifiability of a deep feedforward ReLU neural network Joachim Bona-Pellissier François Bachoc François Malgouyres 33 14 0 24 Dec 2021
Adversarial Attacks with Time-Scale Representations A. Santamaría-Pang Jia-dong Qiu Aritra Chowdhury James R. Kubricht Peter Tu Iyer Naresh Nurali Virani AAML MLAU 17 0 0 26 Jul 2021
Adversarial Example Detection for DNN Models: A Review and Experimental Comparison Ahmed Aldahdooh W. Hamidouche Sid Ahmed Fezza Olivier Déforges AAML 11 122 0 01 May 2021
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety Sebastian Houben Stephanie Abrecht Maram Akila Andreas Bär Felix Brockherde ... Serin Varghese Michael Weber Sebastian J. Wirkert Tim Wirtz Matthias Woehrle AAML 11 58 0 29 Apr 2021
Relating Adversarially Robust Generalization to Flat Minima David Stutz Matthias Hein Bernt Schiele OOD 22 65 0 09 Apr 2021
Security and Privacy for Artificial Intelligence: Opportunities and Challenges Ayodeji Oseni Nour Moustafa Helge Janicke Peng Liu Z. Tari A. Vasilakos AAML 26 47 0 09 Feb 2021
Towards a Robust and Trustworthy Machine Learning System Development: An Engineering Perspective Pulei Xiong Scott Buffett Shahrear Iqbal Philippe Lamontagne M. Mamun Heather Molyneaux OOD 34 15 0 08 Jan 2021
Adversarial Black-Box Attacks On Text Classifiers Using Multi-Objective Genetic Optimization Guided By Deep Networks Alex Mathai Shreya Khare Srikanth G. Tamilselvam Senthil Mani AAML 15 6 0 08 Nov 2020
The Vulnerability of the Neural Networks Against Adversarial Examples in Deep Learning Algorithms Rui Zhao AAML 16 1 0 02 Nov 2020
An Evasion Attack against Stacked Capsule Autoencoder Jiazhu Dai Siwei Xiong AAML 16 1 0 14 Oct 2020
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective G. R. Machado Eugênio Silva R. Goldschmidt AAML 22 155 0 08 Sep 2020
Dynamically Computing Adversarial Perturbations for Recurrent Neural Networks Shankar A. Deka D. Stipanović Claire Tomlin AAML 14 7 0 07 Sep 2020
Improving adversarial robustness of deep neural networks by using semantic information Lina Wang Rui Tang Yawei Yue Xingshu Chen Wei Wang Yi Zhu Xuemei Zeng AAML 6 14 0 18 Aug 2020
Opportunities and Challenges in Deep Learning Adversarial Robustness: A Survey S. Silva Peyman Najafirad AAML OOD 23 131 0 01 Jul 2020
Hermes Attack: Steal DNN Models with Lossless Inference Accuracy Yuankun Zhu Yueqiang Cheng Husheng Zhou Yantao Lu MIACV AAML 23 99 0 23 Jun 2020
Heuristic Black-box Adversarial Attacks on Video Recognition Models Zhipeng Wei Jingjing Chen Xingxing Wei Linxi Jiang Tat-Seng Chua Fengfeng Zhou Yueping Jiang AAML 6 67 0 21 Nov 2019
Confidence-Calibrated Adversarial Training: Generalizing to Unseen Attacks David Stutz Matthias Hein Bernt Schiele AAML 12 5 0 14 Oct 2019
On the Robustness of Human Pose Estimation Sahil Shah Naman Jain Abhishek Sharma Arjun Jain AAML OOD 8 20 0 18 Aug 2019
Securing Connected & Autonomous Vehicles: Challenges Posed by Adversarial Machine Learning and The Way Forward A. Qayyum Muhammad Usama Junaid Qadir Ala I. Al-Fuqaha AAML 19 187 0 29 May 2019
Moving Target Defense for Deep Visual Sensing against Adversarial Examples Qun Song Zhenyu Yan Rui Tan AAML 10 20 0 11 May 2019
POBA-GA: Perturbation Optimized Black-Box Adversarial Attacks via Genetic Algorithm Jinyin Chen Mengmeng Su Shijing Shen Hui Xiong Haibin Zheng AAML 6 66 0 01 May 2019
JumpReLU: A Retrofit Defense Strategy for Adversarial Attacks N. Benjamin Erichson Z. Yao Michael W. Mahoney AAML 11 21 0 07 Apr 2019
Neural Network Model Extraction Attacks in Edge Devices by Hearing Architectural Hints Xing Hu Ling Liang Lei Deng Shuangchen Li Xinfeng Xie Yu Ji Yufei Ding Chang Liu T. Sherwood Yuan Xie AAML MLAU 11 36 0 10 Mar 2019
Towards a Robust Deep Neural Network in Texts: A Survey Wenqi Wang Benxiao Tang Run Wang Lina Wang Aoshuang Ye AAML 24 39 0 12 Feb 2019
Perturbation Analysis of Learning Algorithms: A Unifying Perspective on Generation of Adversarial Examples E. Balda Arash Behboodi R. Mathar AAML 12 4 0 15 Dec 2018
Disentangling Adversarial Robustness and Generalization David Stutz Matthias Hein Bernt Schiele AAML OOD 186 272 0 03 Dec 2018
Query-Free Attacks on Industry-Grade Face Recognition Systems under Resource Constraints Di Tang XiaoFeng Wang Kehuan Zhang AAML 30 1 0 13 Feb 2018
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey Naveed Akhtar Ajmal Saeed Mian AAML 22 1,853 0 02 Jan 2018
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 256 3,109 0 04 Nov 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 250 5,833 0 08 Jul 2016