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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
A Robust Backpropagation-Free Framework for Images Timothy Zee Alexander Ororbia A. Mali Ifeoma Nwogu 70 1 0 03 Jun 2022
Towards Evading the Limits of Randomized Smoothing: A Theoretical Analysis Raphael Ettedgui Alexandre Araujo Rafael Pinot Y. Chevaleyre Jamal Atif AAML 67 3 0 03 Jun 2022
Understanding Deep Learning via Decision Boundary Shiye Lei Fengxiang He Yancheng Yuan Dacheng Tao 76 14 0 03 Jun 2022
On the Generalization of Wasserstein Robust Federated Learning Tung Nguyen Tuan Dung Nguyen Long Tan Le Canh T. Dinh N. H. Tran OOD FedML 92 6 0 03 Jun 2022
Adversarial Unlearning: Reducing Confidence Along Adversarial Directions Amrith Rajagopal Setlur Benjamin Eysenbach Virginia Smith Sergey Levine 79 19 0 03 Jun 2022
Adaptive Adversarial Training to Improve Adversarial Robustness of DNNs for Medical Image Segmentation and Detection Linhai Ma Liang Liang OOD 86 6 0 02 Jun 2022
Adversarial Laser Spot: Robust and Covert Physical-World Attack to DNNs Chen-Hao Hu Yilong Wang Kalibinuer Tiliwalidi Wen Li AAML 120 17 0 02 Jun 2022
FACM: Intermediate Layer Still Retain Effective Features against Adversarial Examples Xiangyuan Yang Jie Lin Hanlin Zhang Xinyu Yang Peng Zhao AAML 85 0 0 02 Jun 2022
Improving the Robustness and Generalization of Deep Neural Network with Confidence Threshold Reduction Xiangyuan Yang Jie Lin Hanlin Zhang Xinyu Yang Peng Zhao AAML OOD 72 1 0 02 Jun 2022
Adversarial RAW: Image-Scaling Attack Against Imaging Pipeline Junjian Li Honglong Chen AAML 42 2 0 02 Jun 2022
On the reversibility of adversarial attacks C. Li Ricardo Sánchez-Matilla Ali Shahin Shamsabadi Riccardo Mazzon Andrea Cavallaro AAML 53 2 0 01 Jun 2022
Attack-Agnostic Adversarial Detection Jiaxin Cheng Mohamed Hussein J. Billa Wael AbdAlmageed AAML 76 0 0 01 Jun 2022
Hide and Seek: on the Stealthiness of Attacks against Deep Learning Systems Zeyan Liu Fengjun Li Jingqiang Lin Zhu Li Bo Luo AAML 64 2 0 31 May 2022
Exact Feature Collisions in Neural Networks Utku Ozbulak Manvel Gasparyan Shodhan Rao W. D. Neve Arnout Van Messem AAML 63 1 0 31 May 2022
Searching for the Essence of Adversarial Perturbations Dennis Y. Menn Tzu-hsun Feng Hung-yi Lee AAML 39 1 0 30 May 2022
Securing AI-based Healthcare Systems using Blockchain Technology: A State-of-the-Art Systematic Literature Review and Future Research Directions Rucha Shinde S. Patil K. Kotecha V. Potdar Ganeshsree Selvachandran Ajith Abraham 55 33 0 30 May 2022
CalFAT: Calibrated Federated Adversarial Training with Label Skewness Chen Chen Yuchen Liu Xingjun Ma Lingjuan Lyu FedML 247 34 0 30 May 2022
Exposing Fine-Grained Adversarial Vulnerability of Face Anti-Spoofing Models Songlin Yang Wei Wang Chenye Xu Ziwen He Bo Peng Jing Dong AAML CVBM 72 4 0 30 May 2022
Superclass Adversarial Attack Soichiro Kumano Hiroshi Kera T. Yamasaki AAML 81 1 0 29 May 2022
Contributor-Aware Defenses Against Adversarial Backdoor Attacks Glenn Dawson Muhammad Umer R. Polikar AAML 67 0 0 28 May 2022
Rethinking Bayesian Learning for Data Analysis: The Art of Prior and Inference in Sparsity-Aware Modeling Lei Cheng Feng Yin Sergios Theodoridis S. Chatzis Tsung-Hui Chang 128 78 0 28 May 2022
Standalone Neural ODEs with Sensitivity Analysis Rym Jaroudi Lukáš Malý Gabriel Eilertsen B. Johansson Jonas Unger George Baravdish 64 0 0 27 May 2022
fakeWeather: Adversarial Attacks for Deep Neural Networks Emulating Weather Conditions on the Camera Lens of Autonomous Systems Alberto Marchisio Giovanni Caramia Maurizio Martina Mohamed Bennai AAML 75 8 0 27 May 2022
Physical-World Optical Adversarial Attacks on 3D Face Recognition Yanjie Li Yiquan Li Xuelong Dai Songtao Guo Bin Xiao AAML 140 32 0 26 May 2022
Transferable Adversarial Attack based on Integrated Gradients Yunpeng Huang A. Kong AAML 85 54 0 26 May 2022
One-Pixel Shortcut: on the Learning Preference of Deep Neural Networks Shutong Wu Sizhe Chen Cihang Xie Xiaolin Huang AAML 94 27 0 24 May 2022
Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks Sizhe Chen Zhehao Huang Qinghua Tao Yingwen Wu Cihang Xie Xiaolin Huang AAML 201 28 0 24 May 2022
Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free Tianlong Chen Zhenyu Zhang Yihua Zhang Shiyu Chang Sijia Liu Zhangyang Wang AAML 80 25 0 24 May 2022
Alleviating Robust Overfitting of Adversarial Training With Consistency Regularization Shudong Zhang Haichang Gao Tianwei Zhang Yunyi Zhou Zihui Wu AAML 82 4 0 24 May 2022
Squeeze Training for Adversarial Robustness Qizhang Li Yiwen Guo W. Zuo Hao Chen OOD 105 9 0 23 May 2022
Stability of the scattering transform for deformations with minimal regularity F. Nicola S. I. Trapasso 72 4 0 23 May 2022
Post-breach Recovery: Protection against White-box Adversarial Examples for Leaked DNN Models Shawn Shan Wen-Luan Ding Emily Wenger Haitao Zheng Ben Y. Zhao AAML 79 12 0 21 May 2022
Gradient Concealment: Free Lunch for Defending Adversarial Attacks Sen Pei Jiaxi Sun Xiaopeng Zhang Gaofeng Meng AAML 72 0 0 21 May 2022
Getting a-Round Guarantees: Floating-Point Attacks on Certified Robustness Jiankai Jin O. Ohrimenko Benjamin I. P. Rubinstein AAML 76 3 0 20 May 2022
Learning to Reverse DNNs from AI Programs Automatically Simin Chen Hamed Khanpour Cong Liu Wei Yang 88 16 0 20 May 2022
On Trace of PGD-Like Adversarial Attacks Mo Zhou Vishal M. Patel AAML 80 4 0 19 May 2022
Gradient Aligned Attacks via a Few Queries Xiangyuan Yang Jie Lin Hanlin Zhang Xinyu Yang Peng Zhao AAML 76 0 0 19 May 2022
Gradient-based Counterfactual Explanations using Tractable Probabilistic Models Xiaoting Shao Kristian Kersting BDL 66 1 0 16 May 2022
Robust Representation via Dynamic Feature Aggregation Haozhe Liu Haoqin Ji Yuexiang Li Nanjun He Haoqian Wu Feng Liu Linlin Shen Yefeng Zheng AAML OOD 91 3 0 16 May 2022
Exploiting the Relationship Between Kendall's Rank Correlation and Cosine Similarity for Attribution Protection Fan Wang A. Kong 179 10 0 15 May 2022
Verifying Neural Networks Against Backdoor Attacks Long H. Pham Jun Sun AAML 73 5 0 14 May 2022
Evaluating Membership Inference Through Adversarial Robustness Zhaoxi Zhang L. Zhang Xufei Zheng Bilal Hussain Abbasi Shengshan Hu AAML 92 17 0 14 May 2022
MM-BD: Post-Training Detection of Backdoor Attacks with Arbitrary Backdoor Pattern Types Using a Maximum Margin Statistic Hang Wang Zhen Xiang David J. Miller G. Kesidis AAML 117 44 0 13 May 2022
AEON: A Method for Automatic Evaluation of NLP Test Cases Jen-tse Huang Jianping Zhang Wenxuan Wang Pinjia He Yuxin Su Michael R. Lyu 83 23 0 13 May 2022
The Different Faces of AI Ethics Across the World: A Principle-Implementation Gap Analysis L. Tidjon Foutse Khomh 53 8 0 12 May 2022
Smooth-Reduce: Leveraging Patches for Improved Certified Robustness Ameya Joshi Minh Pham Minsu Cho Leonid Boytsov Filipe Condessa J. Zico Kolter Chinmay Hegde UQCV AAML 72 2 0 12 May 2022
Infrared Invisible Clothing:Hiding from Infrared Detectors at Multiple Angles in Real World Xiaopei Zhu Zhan Hu Siyuan Huang Jianmin Li Xiaolin Hu AAML 67 56 0 12 May 2022
How Does Frequency Bias Affect the Robustness of Neural Image Classifiers against Common Corruption and Adversarial Perturbations? Alvin Chan Yew-Soon Ong Clement Tan AAML 60 14 0 09 May 2022
Model-Contrastive Learning for Backdoor Defense Zhihao Yue Jun Xia Zhiwei Ling Ming Hu Ting Wang Xian Wei Mingsong Chen AAML 61 3 0 09 May 2022
Do You Think You Can Hold Me? The Real Challenge of Problem-Space Evasion Attacks Harel Berger A. Dvir Chen Hajaj Rony Ronen AAML 72 3 0 09 May 2022