Towards Evaluating the Robustness of Neural Networks

16 August 2016

Papers citing "Towards Evaluating the Robustness of Neural Networks"

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Title
Certification of embedded systems based on Machine Learning: A survey Guillaume Vidot Christophe Gabreau I. Ober Iulian Ober 11 12 0 14 Jun 2021
Adversarial Robustness via Fisher-Rao Regularization Marine Picot Francisco Messina Malik Boudiaf Fabrice Labeau Ismail Ben Ayed Pablo Piantanida AAML 31 23 0 12 Jun 2021
TDGIA:Effective Injection Attacks on Graph Neural Networks Xu Zou Qinkai Zheng Yuxiao Dong Xinyu Guan Evgeny Kharlamov Jialiang Lu Jie Tang AAML 45 100 0 12 Jun 2021
We Can Always Catch You: Detecting Adversarial Patched Objects WITH or WITHOUT Signature Binxiu Liang Jiachun Li Jianjun Huang AAML 33 12 0 09 Jun 2021
Reveal of Vision Transformers Robustness against Adversarial Attacks Ahmed Aldahdooh W. Hamidouche Olivier Déforges ViT 17 57 0 07 Jun 2021
Understanding Neural Code Intelligence Through Program Simplification Md Rafiqul Islam Rabin Vincent J. Hellendoorn Mohammad Amin Alipour AAML 49 59 0 07 Jun 2021
Signal Transformer: Complex-valued Attention and Meta-Learning for Signal Recognition Yihong Dong Ying Peng Muqiao Yang Songtao Lu Qingjiang Shi 49 9 0 05 Jun 2021
A Little Robustness Goes a Long Way: Leveraging Robust Features for Targeted Transfer Attacks Jacob Mitchell Springer Melanie Mitchell Garrett Kenyon AAML 36 43 0 03 Jun 2021
Transferable Adversarial Examples for Anchor Free Object Detection Quanyu Liao Xin Wang Bin Kong Siwei Lyu Bin Zhu Youbing Yin Qi Song Xi Wu AAML 33 9 0 03 Jun 2021
Imperceptible Adversarial Examples for Fake Image Detection Quanyu Liao Yuezun Li Xiaoqiang Guo Bin Kong Yingxin Zhu Jianlei Liu Zhuqing Jiang Qi Song Xi Wu AAML 100 33 0 03 Jun 2021
Assessing the Reliability of Deep Learning Classifiers Through Robustness Evaluation and Operational Profiles Xingyu Zhao Wei Huang Alec Banks V. Cox David Flynn S. Schewe Xiaowei Huang AAML UQCV 41 21 0 02 Jun 2021
Transferable Sparse Adversarial Attack Ziwen He Wei Wang Jing Dong Tieniu Tan AAML 19 20 0 31 May 2021
NoiLIn: Improving Adversarial Training and Correcting Stereotype of Noisy Labels Jingfeng Zhang Xilie Xu Bo Han Tongliang Liu Gang Niu Li-zhen Cui Masashi Sugiyama NoLa AAML 23 9 0 31 May 2021
Analysis and Applications of Class-wise Robustness in Adversarial Training Qi Tian Kun Kuang Ke Jiang Fei Wu Yisen Wang AAML 23 46 0 29 May 2021
Feature Space Targeted Attacks by Statistic Alignment Lianli Gao Yaya Cheng Qilong Zhang Xing Xu Jingkuan Song AAML 24 31 0 25 May 2021
Exploring Misclassifications of Robust Neural Networks to Enhance Adversarial Attacks Leo Schwinn René Raab A. Nguyen Dario Zanca Bjoern M. Eskofier AAML 14 60 0 21 May 2021
Sparta: Spatially Attentive and Adversarially Robust Activation Qing Guo Felix Juefei Xu Changqing Zhou Wei Feng Yang Liu Song Wang AAML 43 4 0 18 May 2021
Prototype-supervised Adversarial Network for Targeted Attack of Deep Hashing Xunguang Wang Zheng-Wei Zhang Baoyuan Wu Fumin Shen Guangming Lu AAML GAN 14 44 0 17 May 2021
Substitutional Neural Image Compression Tianlin Li Wei Jiang Wei Wang Shan Liu Brian Kulis Peter Chin 25 5 0 16 May 2021
Stochastic-Shield: A Probabilistic Approach Towards Training-Free Adversarial Defense in Quantized CNNs Lorena Qendro Sangwon Ha R. D. Jong Partha P. Maji AAML FedML MQ 23 7 0 13 May 2021
AVA: Adversarial Vignetting Attack against Visual Recognition Binyu Tian Felix Juefei Xu Qing Guo Xiaofei Xie Xiaohong Li Yang Liu AAML 26 31 0 12 May 2021
Improving Adversarial Transferability with Gradient Refining Guoqiu Wang Huanqian Yan Yingjie Guo Xingxing Wei AAML 19 8 0 11 May 2021
Selective Probabilistic Classifier Based on Hypothesis Testing Saeed Bakhshi Germi Esa Rahtu H. Huttunen 35 1 0 09 May 2021
The Challenges and Opportunities of Human-Centered AI for Trustworthy Robots and Autonomous Systems Hongmei He J. Gray Angelo Cangelosi Q. Meng T. McGinnity J. Mehnen 25 35 0 07 May 2021
Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition Bangjie Yin Wenxuan Wang Taiping Yao Junfeng Guo Zelun Kong Shouhong Ding Jilin Li Cong Liu AAML 39 129 0 07 May 2021
Attack-agnostic Adversarial Detection on Medical Data Using Explainable Machine Learning Matthew Watson Noura Al Moubayed AAML MedIm 12 20 0 05 May 2021
An Overview of Laser Injection against Embedded Neural Network Models Mathieu Dumont Pierre-Alain Moëllic R. Viera J. Dutertre Rémi Bernhard AAML 30 9 0 04 May 2021
A Review of Confidentiality Threats Against Embedded Neural Network Models Raphael Joud Pierre-Alain Moëllic Rémi Bernhard J. Rigaud 28 6 0 04 May 2021
Quality Assurance Challenges for Machine Learning Software Applications During Software Development Life Cycle Phases Md. Abdullah Al Alamin Gias Uddin 37 11 0 03 May 2021
BAARD: Blocking Adversarial Examples by Testing for Applicability, Reliability and Decidability Luke Chang Katharina Dost Kaiqi Zhao Ambra Demontis Fabio Roli Gillian Dobbie Jörg Simon Wicker AAML 27 2 0 02 May 2021
Who's Afraid of Adversarial Transferability? Ziv Katzir Yuval Elovici SILM AAML 27 9 0 02 May 2021
Black-box adversarial attacks using Evolution Strategies Hao Qiu Leonardo Lucio Custode Giovanni Iacca AAML 38 18 0 30 Apr 2021
Ensembling with Deep Generative Views Lucy Chai Jun-Yan Zhu Eli Shechtman Phillip Isola Richard Y. Zhang GAN 32 70 0 29 Apr 2021
Delving into Data: Effectively Substitute Training for Black-box Attack Wenxuan Wang Bangjie Yin Taiping Yao Li Zhang Yanwei Fu Shouhong Ding Jilin Li Feiyue Huang Xiangyang Xue AAML 60 63 0 26 Apr 2021
3D Adversarial Attacks Beyond Point Cloud Jinlai Zhang Lyujie Chen Binbin Liu Bojun Ouyang Qizhi Xie Jihong Zhu Weiming Li Yanmei Meng 3DPC 27 38 0 25 Apr 2021
Performance Evaluation of Adversarial Attacks: Discrepancies and Solutions Jing Wu Mingyi Zhou Ce Zhu Yipeng Liu Mehrtash Harandi Li Li AAML 59 10 0 22 Apr 2021
Turning Federated Learning Systems Into Covert Channels Gabriele Costa Fabio Pinelli S. Soderi Gabriele Tolomei FedML 37 10 0 21 Apr 2021
Staircase Sign Method for Boosting Adversarial Attacks Qilong Zhang Xiaosu Zhu Jingkuan Song Lianli Gao Heng Tao Shen AAML 43 13 0 20 Apr 2021
LAFEAT: Piercing Through Adversarial Defenses with Latent Features Yunrui Yu Xitong Gao Chengzhong Xu AAML FedML 33 44 0 19 Apr 2021
Removing Adversarial Noise in Class Activation Feature Space Dawei Zhou N. Wang Chunlei Peng Xinbo Gao Xiaoyu Wang Jun Yu Tongliang Liu AAML 30 28 0 19 Apr 2021
Rethinking Image-Scaling Attacks: The Interplay Between Vulnerabilities in Machine Learning Systems Yue Gao Ilia Shumailov Kassem Fawaz AAML 37 10 0 18 Apr 2021
Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators David Stutz Nandhini Chandramoorthy Matthias Hein Bernt Schiele AAML MQ 26 18 0 16 Apr 2021
Gradient-based Adversarial Attacks against Text Transformers Chuan Guo Alexandre Sablayrolles Hervé Jégou Douwe Kiela SILM 106 230 0 15 Apr 2021
Mitigating Adversarial Attack for Compute-in-Memory Accelerator Utilizing On-chip Finetune Shanshi Huang Hongwu Jiang Shimeng Yu AAML 26 3 0 13 Apr 2021
Thief, Beware of What Get You There: Towards Understanding Model Extraction Attack Xinyi Zhang Chengfang Fang Jie Shi MIACV MLAU SILM 48 15 0 13 Apr 2021
A Backdoor Attack against 3D Point Cloud Classifiers Zhen Xiang David J. Miller Siheng Chen Xi Li G. Kesidis 3DPC AAML 38 76 0 12 Apr 2021
Consequence-aware Sequential Counterfactual Generation Philip Naumann Eirini Ntoutsi OffRL 17 24 0 12 Apr 2021
Relating Adversarially Robust Generalization to Flat Minima David Stutz Matthias Hein Bernt Schiele OOD 43 65 0 09 Apr 2021
FACESEC: A Fine-grained Robustness Evaluation Framework for Face Recognition Systems Liang Tong Zhengzhang Chen Jingchao Ni Wei Cheng Dongjin Song Haifeng Chen Yevgeniy Vorobeychik CVBM AAML 32 19 0 08 Apr 2021
Adversarial Robustness under Long-Tailed Distribution Tong Wu Ziwei Liu Qingqiu Huang Yu Wang Dahua Lin 26 76 0 06 Apr 2021