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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
Understanding Adversarial Robustness Against On-manifold Adversarial Examples Jiancong Xiao Liusha Yang Yanbo Fan Jue Wang Zhimin Luo OOD 83 13 0 02 Oct 2022
DeltaBound Attack: Efficient decision-based attack in low queries regime L. Rossi AAML 83 0 0 01 Oct 2022
On the tightness of linear relaxation based robustness certification methods Cheng Tang AAML 94 0 0 01 Oct 2022
Improving Robustness with Adaptive Weight Decay Amin Ghiasi Ali Shafahi R. Ardekani OOD 46 8 0 30 Sep 2022
Learning Robust Kernel Ensembles with Kernel Average Pooling P. Bashivan Adam Ibrahim Amirozhan Dehghani Yifei Ren OOD 86 5 0 30 Sep 2022
Your Out-of-Distribution Detection Method is Not Robust! Mohammad Azizmalayeri Arshia Soltani Moakhar Arman Zarei Reihaneh Zohrabi M. T. Manzuri M. Rohban OODD 111 17 0 30 Sep 2022
Physical Adversarial Attack meets Computer Vision: A Decade Survey Hui Wei Hao Tang Xuemei Jia Zhixiang Wang Han-Bing Yu Zhubo Li Shiníchi Satoh Luc Van Gool Zheng Wang AAML 152 57 0 30 Sep 2022
A Survey on Physical Adversarial Attack in Computer Vision Donghua Wang Wen Yao Tingsong Jiang Guijian Tang Xiaoqian Chen AAML 165 39 0 28 Sep 2022
A Closer Look at Evaluating the Bit-Flip Attack Against Deep Neural Networks Kevin Hector Mathieu Dumont Pierre-Alain Moëllic J. Dutertre AAML 65 4 0 28 Sep 2022
Exploring the Relationship between Architecture and Adversarially Robust Generalization Aishan Liu Shiyu Tang Siyuan Liang Ruihao Gong Boxi Wu Xianglong Liu Dacheng Tao AAML 97 19 0 28 Sep 2022
Discussion about Attacks and Defenses for Fair and Robust Recommendation System Design Mira Kim Simon S. Woo 119 0 0 28 Sep 2022
Inducing Data Amplification Using Auxiliary Datasets in Adversarial Training Saehyung Lee Hyungyu Lee AAML 72 2 0 27 Sep 2022
FG-UAP: Feature-Gathering Universal Adversarial Perturbation Zhixing Ye Xinwen Cheng Xiaolin Huang AAML 112 11 0 27 Sep 2022
Employing Deep Ensemble Learning for Improving the Security of Computer Networks against Adversarial Attacks Ehsan Nowroozi Mohammadreza Mohammadi E. Savaş Mauro Conti Yassine Mekdad AAML 81 8 0 25 Sep 2022
DARTSRepair: Core-failure-set Guided DARTS for Network Robustness to Common Corruptions Xuhong Ren Jianlang Chen Felix Juefei Xu Wanli Xue Qing Guo Lei Ma Jianjun Zhao Shengyong Chen AAML OOD 90 12 0 21 Sep 2022
Leveraging Local Patch Differences in Multi-Object Scenes for Generative Adversarial Attacks Abhishek Aich Shasha Li Chengyu Song M. Salman Asif S. Krishnamurthy Amit K. Roy-Chowdhury AAML 93 9 0 20 Sep 2022
Understanding Real-world Threats to Deep Learning Models in Android Apps Zizhuang Deng Kai Chen Guozhu Meng Xiaodong Zhang Ke Xu Yao Cheng AAML 82 29 0 20 Sep 2022
GAMA: Generative Adversarial Multi-Object Scene Attacks Abhishek Aich Calvin-Khang Ta Akash Gupta Chengyu Song S. Krishnamurthy M. Salman Asif Amit K. Roy-Chowdhury AAML 112 20 0 20 Sep 2022
Adversarial Color Projection: A Projector-based Physical Attack to DNNs Chen-Hao Hu Weiwen Shi Ling Tian AAML 89 3 0 19 Sep 2022
AdvDO: Realistic Adversarial Attacks for Trajectory Prediction Yulong Cao Chaowei Xiao Anima Anandkumar Danfei Xu Marco Pavone AAML 68 66 0 19 Sep 2022
Watch What You Pretrain For: Targeted, Transferable Adversarial Examples on Self-Supervised Speech Recognition models R. Olivier H. Abdullah Bhiksha Raj AAML 86 1 0 17 Sep 2022
Robust Ensemble Morph Detection with Domain Generalization Hossein Kashiani S. Sami Sobhan Soleymani Nasser M. Nasrabadi OOD AAML 83 8 0 16 Sep 2022
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability Mengdi Xu Zuxin Liu Peide Huang Wenhao Ding Zhepeng Cen Yue Liu Ding Zhao 178 47 0 16 Sep 2022
PointCAT: Contrastive Adversarial Training for Robust Point Cloud Recognition Qidong Huang Xiaoyi Dong DongDong Chen Hang Zhou Weiming Zhang Kui Zhang Gang Hua Nenghai Yu 3DPC 102 13 0 16 Sep 2022
Explicit Tradeoffs between Adversarial and Natural Distributional Robustness Mazda Moayeri Kiarash Banihashem Soheil Feizi OOD 129 23 0 15 Sep 2022
Improving Robust Fairness via Balance Adversarial Training Chunyu Sun Chenye Xu Chengyuan Yao Siyuan Liang Yichao Wu Ding Liang XiangLong Liu Aishan Liu 54 11 0 15 Sep 2022
Sound and Complete Verification of Polynomial Networks Elias Abad Rocamora Mehmet Fatih Şahin Fanghui Liu Grigorios G. Chrysos Volkan Cevher 61 5 0 15 Sep 2022
Weakly Supervised Invariant Representation Learning Via Disentangling Known and Unknown Nuisance Factors Jiageng Zhu Hanchen Xie Wael AbdAlmageed 64 1 0 15 Sep 2022
PointACL:Adversarial Contrastive Learning for Robust Point Clouds Representation under Adversarial Attack Junxuan Huang Yatong An Lu Cheng Bai Chen Junsong Yuan Chunming Qiao 3DPC 57 1 0 14 Sep 2022
On the interplay of adversarial robustness and architecture components: patches, convolution and attention Francesco Croce Matthias Hein 96 6 0 14 Sep 2022
TSFool: Crafting Highly-Imperceptible Adversarial Time Series through Multi-Objective Attack Yanyun Wang Dehui Du Haibo Hu Zi Liang Yuanhao Liu AAML AI4TS 110 3 0 14 Sep 2022
Resisting Deep Learning Models Against Adversarial Attack Transferability via Feature Randomization Ehsan Nowroozi Mohammadreza Mohammadi Pargol Golmohammadi Yassine Mekdad Mauro Conti Selcuk Uluagac AAML SILM 82 14 0 11 Sep 2022
Scattering Model Guided Adversarial Examples for SAR Target Recognition: Attack and Defense Bo Peng Bo Peng Jie Zhou Jianyue Xie Li Liu AAML 92 46 0 11 Sep 2022
Robust-by-Design Classification via Unitary-Gradient Neural Networks Fabio Brau Giulio Rossolini Alessandro Biondi Giorgio Buttazzo AAML 121 5 0 09 Sep 2022
Attacking the Spike: On the Transferability and Security of Spiking Neural Networks to Adversarial Examples Nuo Xu Kaleel Mahmood Haowen Fang Ethan Rathbun Caiwen Ding Wujie Wen AAML 104 13 0 07 Sep 2022
Annealing Optimization for Progressive Learning with Stochastic Approximation Christos N. Mavridis John S. Baras 86 10 0 06 Sep 2022
Instance Attack:An Explanation-based Vulnerability Analysis Framework Against DNNs for Malware Detection Ruijin Sun Shize Guo Jinhong Guo Changyou Xing Luming Yang Xi Guo Zhisong Pan AAML 137 1 0 06 Sep 2022
Adversarial Detection: Attacking Object Detection in Real Time Han-Ching Wu Syed Yunas Sareh Rowlands Wenjie Ruan Johan Wahlstrom AAML 94 5 0 05 Sep 2022
Revisiting Outer Optimization in Adversarial Training Ali Dabouei Fariborz Taherkhani Sobhan Soleymani Nasser M. Nasrabadi AAML 90 4 0 02 Sep 2022
Adversarial Color Film: Effective Physical-World Attack to DNNs Chen-Hao Hu Weiwen Shi AAML 196 14 0 02 Sep 2022
Formalising the Robustness of Counterfactual Explanations for Neural Networks Junqi Jiang Francesco Leofante Antonio Rago Francesca Toni AAML 93 27 0 31 Aug 2022
Be Your Own Neighborhood: Detecting Adversarial Example by the Neighborhood Relations Built on Self-Supervised Learning Zhiyuan He Yijun Yang Pin-Yu Chen Qiang Xu Tsung-Yi Ho AAML 73 9 0 31 Aug 2022
Unrestricted Adversarial Samples Based on Non-semantic Feature Clusters Substitution Ming-Kuai Zhou Xiaobing Pei AAML 52 0 0 31 Aug 2022
Constraining Representations Yields Models That Know What They Don't Know João Monteiro Pau Rodríguez López Pierre-Andre Noel I. Laradji David Vazquez AAML 122 0 0 30 Aug 2022
A Black-Box Attack on Optical Character Recognition Systems Samet Bayram Kenneth Barner AAML 128 6 0 30 Aug 2022
Towards Adversarial Purification using Denoising AutoEncoders Dvij Kalaria Aritra Hazra P. Chakrabarti DiffM 58 5 0 29 Aug 2022
Cross-domain Cross-architecture Black-box Attacks on Fine-tuned Models with Transferred Evolutionary Strategies Yinghua Zhang Yangqiu Song Kun Bai Qian Yang AAML 65 1 0 28 Aug 2022
SA: Sliding attack for synthetic speech detection with resistance to clipping and self-splicing JiaCheng Deng Dong Li Yan Diqun Rangding Wang Zeng Jiaming AAML 67 0 0 27 Aug 2022
Adversarial Robustness for Tabular Data through Cost and Utility Awareness Klim Kireev B. Kulynych Carmela Troncoso AAML 97 18 0 27 Aug 2022
Multi-Scale Architectures Matter: On the Adversarial Robustness of Flow-based Lossless Compression Yitong Xia Bin Chen Yan Feng Tian-shuo Ge AI4CE 59 0 0 26 Aug 2022