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Towards Evaluating the Robustness of Neural Networks

16 August 2016

Papers citing "Towards Evaluating the Robustness of Neural Networks"

50 / 4,019 papers shown

Title
Btech thesis report on adversarial attack detection and purification of adverserially attacked images Dvij Kalaria AAML 27 1 0 09 May 2022
Bandits for Structure Perturbation-based Black-box Attacks to Graph Neural Networks with Theoretical Guarantees Binghui Wang Youqin Li Pan Zhou AAML 76 14 0 07 May 2022
Imperceptible Backdoor Attack: From Input Space to Feature Representation Nan Zhong Zhenxing Qian Xinpeng Zhang AAML 73 53 0 06 May 2022
Subverting Fair Image Search with Generative Adversarial Perturbations A. Ghosh Matthew Jagielski Chris L. Wilson 98 7 0 05 May 2022
Rethinking Classifier and Adversarial Attack Youhuan Yang Lei Sun Leyu Dai Song Guo Xiuqing Mao Xiaoqin Wang Bayi Xu AAML 64 0 0 04 May 2022
CE-based white-box adversarial attacks will not work using super-fitting Youhuan Yang Lei Sun Leyu Dai Song Guo Xiuqing Mao Xiaoqin Wang Bayi Xu AAML 104 0 0 04 May 2022
SemAttack: Natural Textual Attacks via Different Semantic Spaces Wei Ping Chejian Xu Xiangyu Liu Yuk-Kit Cheng Yue Liu SILM AAML 125 54 0 03 May 2022
MIRST-DM: Multi-Instance RST with Drop-Max Layer for Robust Classification of Breast Cancer Shoukun Sun Min Xian Aleksandar Vakanski Hossny Ghanem OOD 38 4 0 02 May 2022
Deep-Attack over the Deep Reinforcement Learning Yang Li Quanbiao Pan Min Zhang AAML 69 13 0 02 May 2022
Enhancing Adversarial Training with Feature Separability Yaxin Li Xiaorui Liu Han Xu Wentao Wang Jiliang Tang AAML GAN 31 1 0 02 May 2022
Adversarial Plannning Valentin Vie Ryan Sheatsley Sophia Beyda S. Shringarputale Kevin S. Chan Trent Jaeger Patrick McDaniel AAML 35 0 0 01 May 2022
DDDM: a Brain-Inspired Framework for Robust Classification Xiyuan Chen Xingyu Li Yi Zhou Tianming Yang AAML DiffM 79 7 0 01 May 2022
Software Testing for Machine Learning D. Marijan A. Gotlieb AAML 65 29 0 30 Apr 2022
Detecting Textual Adversarial Examples Based on Distributional Characteristics of Data Representations Na Liu Mark Dras Wei Emma Zhang AAML 53 6 0 29 Apr 2022
Formulating Robustness Against Unforeseen Attacks Sihui Dai Saeed Mahloujifar Prateek Mittal OOD AAML 68 8 0 28 Apr 2022
Defending Person Detection Against Adversarial Patch Attack by using Universal Defensive Frame Youngjoon Yu Hong Joo Lee Hakmin Lee Yong Man Ro AAML 46 12 0 27 Apr 2022
Uncertainty-Aware Prediction of Battery Energy Consumption for Hybrid Electric Vehicles Jihed Khiari Cristina Olaverri-Monreal 56 2 0 27 Apr 2022
A review of Federated Learning in Intrusion Detection Systems for IoT Aitor Belenguer J. Navaridas J. A. Pascual 94 16 0 26 Apr 2022
Performance Analysis of Out-of-Distribution Detection on Trained Neural Networks Jens Henriksson C. Berger Markus Borg Lars Tornberg S. Sathyamoorthy Cristofer Englund OODD 62 21 0 26 Apr 2022
Self-recoverable Adversarial Examples: A New Effective Protection Mechanism in Social Networks Jiawei Zhang Jinwei Wang Hao Wang X. Luo AAML 60 28 0 26 Apr 2022
A Simple Structure For Building A Robust Model Xiao Tan Jingbo Gao Ruolin Li AAML OOD 86 3 0 25 Apr 2022
VITA: A Multi-Source Vicinal Transfer Augmentation Method for Out-of-Distribution Generalization Minghui Chen Cheng Wen Feng Zheng Fengxiang He Ling Shao OODD 64 5 0 25 Apr 2022
Improving Deep Learning Model Robustness Against Adversarial Attack by Increasing the Network Capacity M. Marchetti Edmond S. L. Ho AAML 13 0 0 24 Apr 2022
Smart App Attack: Hacking Deep Learning Models in Android Apps Yujin Huang Chunyang Chen FedML AAML 69 21 0 23 Apr 2022
A Tale of Two Models: Constructing Evasive Attacks on Edge Models Wei Hao Aahil Awatramani Jia-Bin Hu Chengzhi Mao Pin-Chun Chen Eyal Cidon Asaf Cidon Junfeng Yang AAML 95 4 0 22 Apr 2022
How Sampling Impacts the Robustness of Stochastic Neural Networks Sina Daubener Asja Fischer SILM AAML 59 1 0 22 Apr 2022
Enhancing the Transferability via Feature-Momentum Adversarial Attack Xianglong He Yuezun Li Haipeng Qu Junyu Dong AAML 47 1 0 22 Apr 2022
A Mask-Based Adversarial Defense Scheme Weizhen Xu Chenyi Zhang Fangzhen Zhao Liangda Fang AAML 77 4 0 21 Apr 2022
Is Neuron Coverage Needed to Make Person Detection More Robust? Svetlana Pavlitskaya Siyar Yikmis J. Marius Zöllner AAML 28 2 0 21 Apr 2022
Eliminating Backdoor Triggers for Deep Neural Networks Using Attention Relation Graph Distillation Jun Xia Ting Wang Jiepin Ding Xian Wei Mingsong Chen AAML 90 34 0 21 Apr 2022
Backdooring Explainable Machine Learning Maximilian Noppel Lukas Peter Christian Wressnegger AAML 81 5 0 20 Apr 2022
Poisons that are learned faster are more effective Pedro Sandoval-Segura Vasu Singla Liam H. Fowl Jonas Geiping Micah Goldblum David Jacobs Tom Goldstein 89 17 0 19 Apr 2022
Sardino: Ultra-Fast Dynamic Ensemble for Secure Visual Sensing at Mobile Edge Qun Song Zhenyu Yan W. Luo Rui Tan AAML 55 2 0 18 Apr 2022
CgAT: Center-Guided Adversarial Training for Deep Hashing-Based Retrieval Xunguang Wang Yinqun Lin Xuelong Li AAML GAN 82 7 0 18 Apr 2022
Towards Comprehensive Testing on the Robustness of Cooperative Multi-agent Reinforcement Learning Jun Guo Yonghong Chen Yihang Hao Zixin Yin Yin Yu Simin Li AAML 106 34 0 17 Apr 2022
Revisiting the Adversarial Robustness-Accuracy Tradeoff in Robot Learning Mathias Lechner Alexander Amini Daniela Rus T. Henzinger AAML 93 10 0 15 Apr 2022
Q-TART: Quickly Training for Adversarial Robustness and in-Transferability Madan Ravi Ganesh Salimeh Yasaei Sekeh Jason J. Corso AAML 38 1 0 14 Apr 2022
From Environmental Sound Representation to Robustness of 2D CNN Models Against Adversarial Attacks Mohammad Esmaeilpour P. Cardinal Alessandro Lameiras Koerich AAML 121 7 0 14 Apr 2022
Liuer Mihou: A Practical Framework for Generating and Evaluating Grey-box Adversarial Attacks against NIDS Ke He Dan Dongseong Kim Jing Sun J. Yoo Young Hun Lee H. Kim AAML 39 5 0 12 Apr 2022
Toward Robust Spiking Neural Network Against Adversarial Perturbation Ling Liang Kaidi Xu Xing Hu Lei Deng Yuan Xie AAML 77 16 0 12 Apr 2022
Examining the Proximity of Adversarial Examples to Class Manifolds in Deep Networks Stefan Pócos Iveta Becková Igor Farkas AAML 47 2 0 12 Apr 2022
3DeformRS: Certifying Spatial Deformations on Point Clouds S. GabrielPérez Juan C. Pérez Motasem Alfarra Silvio Giancola Guohao Li 3DPC 95 12 0 12 Apr 2022
Evaluating the Adversarial Robustness for Fourier Neural Operators Abolaji D. Adesoji Pin-Yu Chen AAML 80 1 0 08 Apr 2022
AdvEst: Adversarial Perturbation Estimation to Classify and Detect Adversarial Attacks against Speaker Identification Sonal Joshi Saurabh Kataria Jesus Villalba Najim Dehak AAML 86 7 0 08 Apr 2022
Adaptive-Gravity: A Defense Against Adversarial Samples Ali Mirzaeian Zhi Tian Sai Manoj P D B. S. Latibari I. Savidis Houman Homayoun Avesta Sasan AAML OOD 62 1 0 07 Apr 2022
Transfer Attacks Revisited: A Large-Scale Empirical Study in Real Computer Vision Settings Yuhao Mao Chong Fu Sai-gang Wang S. Ji Xuhong Zhang Zhenguang Liu Junfeng Zhou A. Liu R. Beyah Ting Wang AAML 107 19 0 07 Apr 2022
Masking Adversarial Damage: Finding Adversarial Saliency for Robust and Sparse Network Byung-Kwan Lee Junho Kim Y. Ro AAML 59 20 0 06 Apr 2022
Distilling Robust and Non-Robust Features in Adversarial Examples by Information Bottleneck Junho Kim Byung-Kwan Lee Yong Man Ro AAML 64 46 0 06 Apr 2022
Adversarial Robustness through the Lens of Convolutional Filters Paul Gavrikov J. Keuper 70 15 0 05 Apr 2022
DST: Dynamic Substitute Training for Data-free Black-box Attack Wenxuan Wang Xuelin Qian Yanwei Fu Xiangyang Xue OOD AAML 63 18 0 03 Apr 2022