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Towards Evaluating the Robustness of Neural Networks

16 August 2016

Papers citing "Towards Evaluating the Robustness of Neural Networks"

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Title
Synthetic Dataset Generation for Adversarial Machine Learning Research Xiruo Liu Shibani Singh Cory Cornelius Colin Busho Mike Tan Anindya Paul Jason Martin AAML 83 2 0 21 Jul 2022
Towards Efficient Adversarial Training on Vision Transformers Boxi Wu Jindong Gu Zhifeng Li Deng Cai Xiaofei He Wei Liu ViT AAML 115 40 0 21 Jul 2022
Rethinking Textual Adversarial Defense for Pre-trained Language Models Jiayi Wang Rongzhou Bao Zhuosheng Zhang Hai Zhao AAML SILM 63 11 0 21 Jul 2022
AugRmixAT: A Data Processing and Training Method for Improving Multiple Robustness and Generalization Performance Xiaoliang Liu S. Furao Jian Zhao Changhai Nie AAML 60 1 0 21 Jul 2022
One-vs-the-Rest Loss to Focus on Important Samples in Adversarial Training Sekitoshi Kanai Shin'ya Yamaguchi Masanori Yamada Hiroshi Takahashi Kentaro Ohno Yasutoshi Ida AAML 87 9 0 21 Jul 2022
Prior-Guided Adversarial Initialization for Fast Adversarial Training Xiaojun Jia Yong Zhang Xingxing Wei Baoyuan Wu Ke Ma Jue Wang Xiaochun Cao AAML 76 40 0 18 Jul 2022
Adversarial Pixel Restoration as a Pretext Task for Transferable Perturbations H. Malik Shahina Kunhimon Muzammal Naseer Salman Khan Fahad Shahbaz Khan AAML 65 8 0 18 Jul 2022
Rank-based Decomposable Losses in Machine Learning: A Survey Shu Hu Xin Wang Siwei Lyu 102 32 0 18 Jul 2022
A Certifiable Security Patch for Object Tracking in Self-Driving Systems via Historical Deviation Modeling Xudong Pan Qifan Xiao Mi Zhang Min Yang AAML 78 1 0 18 Jul 2022
Adversarial Contrastive Learning via Asymmetric InfoNCE Qiying Yu Jieming Lou Xianyuan Zhan Qizhang Li W. Zuo Yang Liu Jingjing Liu AAML 79 23 0 18 Jul 2022
Watermark Vaccine: Adversarial Attacks to Prevent Watermark Removal Xinwei Liu Jian Liu Yang Bai Jindong Gu Tao Chen Xiaojun Jia Xiaochun Cao AAML WIGM 73 28 0 17 Jul 2022
Achieve Optimal Adversarial Accuracy for Adversarial Deep Learning using Stackelberg Game Xiao-Shan Gao Shuang Liu Lijia Yu AAML 78 0 0 17 Jul 2022
Threat Model-Agnostic Adversarial Defense using Diffusion Models Tsachi Blau Roy Ganz Bahjat Kawar Alex M. Bronstein Michael Elad AAML DiffM 98 27 0 17 Jul 2022
Towards the Desirable Decision Boundary by Moderate-Margin Adversarial Training Xiaoyu Liang Yaguan Qian Jianchang Huang Xiang Ling Bin Wang Chunming Wu Wassim Swaileh AAML 45 4 0 16 Jul 2022
3DVerifier: Efficient Robustness Verification for 3D Point Cloud Models Ronghui Mu Wenjie Ruan Leandro Soriano Marcolino Q. Ni 3DPC 95 10 0 15 Jul 2022
Improving Task-free Continual Learning by Distributionally Robust Memory Evolution Zhenyi Wang Li Shen Le Fang Qiuling Suo Tiehang Duan Mingchen Gao OOD 98 43 0 15 Jul 2022
Adversarially-Aware Robust Object Detector Ziyi Dong Pengxu Wei Liang Lin AAML ObjD 96 30 0 13 Jul 2022
Interactive Machine Learning: A State of the Art Review Natnael A. Wondimu Cédric Buche U. Visser VLM HAI 102 10 0 13 Jul 2022
On the Robustness of Bayesian Neural Networks to Adversarial Attacks Luca Bortolussi Ginevra Carbone Luca Laurenti A. Patané G. Sanguinetti Matthew Wicker AAML 54 13 0 13 Jul 2022
Perturbation Inactivation Based Adversarial Defense for Face Recognition Min Ren Yuhao Zhu Yunlong Wang Zhenan Sun AAML 63 14 0 13 Jul 2022
Exploring Adversarial Examples and Adversarial Robustness of Convolutional Neural Networks by Mutual Information Jiebao Zhang Wenhua Qian Ren-qi Nie Jinde Cao Dan Xu GAN AAML 74 0 0 12 Jul 2022
Adversarial Robustness Assessment of NeuroEvolution Approaches Inês Valentim Nuno Lourenço Nuno Antunes AAML 74 1 0 12 Jul 2022
Frequency Domain Model Augmentation for Adversarial Attack Yuyang Long Qi-li Zhang Boheng Zeng Lianli Gao Xianglong Liu Jian Zhang Jingkuan Song AAML 126 167 0 12 Jul 2022
Certified Adversarial Robustness via Anisotropic Randomized Smoothing Hanbin Hong Yuan Hong AAML 91 5 0 12 Jul 2022
Bi-fidelity Evolutionary Multiobjective Search for Adversarially Robust Deep Neural Architectures Jia-Wei Liu Ran Cheng Yaochu Jin AAML 114 8 0 12 Jul 2022
Susceptibility of Continual Learning Against Adversarial Attacks Hikmat Khan Pir Masoom Shah Syed Farhan Alam Zaidi S. M. Fakhrul Islam Qasim Zia AAML 99 9 0 11 Jul 2022
RUSH: Robust Contrastive Learning via Randomized Smoothing Yijiang Pang Boyang Liu Jiayu Zhou OOD AAML 72 1 0 11 Jul 2022
How Robust is your Fair Model? Exploring the Robustness of Diverse Fairness Strategies E. Small Wei Shao Zeliang Zhang Peihan Liu Jeffrey Chan Kacper Sokol Flora D. Salim 144 2 0 11 Jul 2022
Dynamic Time Warping based Adversarial Framework for Time-Series Domain Taha Belkhouja Yan Yan J. Doppa AAML AI4TS 82 26 0 09 Jul 2022
Adversarial Framework with Certified Robustness for Time-Series Domain via Statistical Features Taha Belkhouja J. Doppa AAML AI4TS 66 12 0 09 Jul 2022
Training Robust Deep Models for Time-Series Domain: Novel Algorithms and Theoretical Analysis Taha Belkhouja Yan Yan J. Doppa OOD AI4TS 77 9 0 09 Jul 2022
On the Robustness and Anomaly Detection of Sparse Neural Networks Morgane Ayle Bertrand Charpentier John Rachwan Daniel Zügner Simon Geisler Stephan Günnemann AAML 91 3 0 09 Jul 2022
Jacobian Norm with Selective Input Gradient Regularization for Improved and Interpretable Adversarial Defense Deyin Liu Lin Wu Haifeng Zhao F. Boussaïd Bennamoun Xianghua Xie AAML 75 3 0 09 Jul 2022
How many perturbations break this model? Evaluating robustness beyond adversarial accuracy R. Olivier Bhiksha Raj AAML 86 5 0 08 Jul 2022
Guiding the retraining of convolutional neural networks against adversarial inputs Francisco Durán Silverio Martínez-Fernández Michael Felderer Xavier Franch AAML 121 1 0 08 Jul 2022
UniCR: Universally Approximated Certified Robustness via Randomized Smoothing Hanbin Hong Binghui Wang Yuan Hong AAML 85 11 0 05 Jul 2022
Learning to Accelerate Approximate Methods for Solving Integer Programming via Early Fixing Longkang Li Baoyuan Wu 84 3 0 05 Jul 2022
Query-Efficient Adversarial Attack Based on Latin Hypercube Sampling Daniel Wang Jiayu Lin Yuansheng Wang AAML 60 6 0 05 Jul 2022
Vector Quantisation for Robust Segmentation Ainkaran Santhirasekaram Avinash Kori Mathias Winkler A. Rockall Ben Glocker OOD 82 9 0 05 Jul 2022
PatchZero: Defending against Adversarial Patch Attacks by Detecting and Zeroing the Patch Ke Xu Yao Xiao Zhao-Heng Zheng Kaijie Cai Ramkant Nevatia AAML 117 32 0 05 Jul 2022
Machine Learning in Access Control: A Taxonomy and Survey M. N. Nobi Maanak Gupta Lopamudra Praharaj Mahmoud Abdelsalam R. Krishnan Ravi Sandhu OOD 39 6 0 04 Jul 2022
Hessian-Free Second-Order Adversarial Examples for Adversarial Learning Yaguan Qian Yu-qun Wang Bin Wang Zhaoquan Gu Yu-Shuang Guo Wassim Swaileh AAML 108 3 0 04 Jul 2022
Removing Batch Normalization Boosts Adversarial Training Haotao Wang Aston Zhang Shuai Zheng Xingjian Shi Mu Li Zhangyang Wang 107 42 0 04 Jul 2022
Abstraction and Refinement: Towards Scalable and Exact Verification of Neural Networks Jiaxiang Liu Yunhan Xing Xiaomu Shi Fu Song Zhiwu Xu Zhong Ming 68 11 0 02 Jul 2022
BadHash: Invisible Backdoor Attacks against Deep Hashing with Clean Label Shengshan Hu Ziqi Zhou Yechao Zhang L. Zhang Yifeng Zheng Yuanyuan HE Hai Jin AAML 118 46 0 01 Jul 2022
MEAD: A Multi-Armed Approach for Evaluation of Adversarial Examples Detectors Federica Granese Marine Picot Marco Romanelli Francisco Messina Pablo Piantanida AAML 89 3 0 30 Jun 2022
Detecting and Recovering Adversarial Examples from Extracting Non-robust and Highly Predictive Adversarial Perturbations Mingyu Dong Jiahao Chen Diqun Yan Jingxing Gao Li Dong Rangding Wang AAML 65 0 0 30 Jun 2022
Adversarial Ensemble Training by Jointly Learning Label Dependencies and Member Models Lele Wang B. Liu UQCV 80 5 0 29 Jun 2022
A Deep Learning Approach to Create DNS Amplification Attacks Jared Mathews Prosenjit Chatterjee S. Banik Cory Nance AAML 53 1 0 29 Jun 2022
On the amplification of security and privacy risks by post-hoc explanations in machine learning models Pengrui Quan Supriyo Chakraborty J. Jeyakumar Mani B. Srivastava MIACV AAML 93 5 0 28 Jun 2022