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Certified Adversarial Robustness via Randomized Smoothing

8 February 2019

Jeremy M. Cohen

Elan Rosenfeld

J. Zico Kolter

AAML

ArXiv (abs)PDF HTML Github (390★)

Papers citing "Certified Adversarial Robustness via Randomized Smoothing"

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Title
Enhancing Robustness of Neural Networks through Fourier Stabilization Netanel Raviv Aidan Kelley Michael M. Guo Yevgeny Vorobeychik AAML 44 13 0 08 Jun 2021
Quantifying and Improving Transferability in Domain Generalization Guojun Zhang Han Zhao Yaoliang Yu Pascal Poupart 113 40 0 07 Jun 2021
A Little Robustness Goes a Long Way: Leveraging Robust Features for Targeted Transfer Attacks Jacob Mitchell Springer Melanie Mitchell Garrett Kenyon AAML 101 44 0 03 Jun 2021
Improving Neural Network Robustness via Persistency of Excitation Kaustubh Sridhar O. Sokolsky Insup Lee James Weimer AAML 123 20 0 03 Jun 2021
Exploring Memorization in Adversarial Training Yinpeng Dong Ke Xu Xiao Yang Tianyu Pang Zhijie Deng Hang Su Jun Zhu TDI 67 74 0 03 Jun 2021
Variational Autoencoders: A Harmonic Perspective A. Camuto M. Willetts DRL 86 1 0 31 May 2021
Two Coupled Rejection Metrics Can Tell Adversarial Examples Apart Tianyu Pang Huishuai Zhang Di He Yinpeng Dong Hang Su Wei Chen Jun Zhu Tie-Yan Liu AAML 54 18 0 31 May 2021
$Robustifying $\ell_\infty$ Adversarial Training to the Union of Perturbation Models$ Robustifying $\ell_\infty$ Adversarial Training to the Union of Perturbation Models Ameya D. Patil Michael Tuttle Alex Schwing Naresh R Shanbhag AAML 70 0 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 89 9 0 31 May 2021
Defending Pre-trained Language Models from Adversarial Word Substitutions Without Performance Sacrifice Rongzhou Bao Jiayi Wang Hai Zhao AAML 64 43 0 30 May 2021
SafeAMC: Adversarial training for robust modulation recognition models Javier Maroto Gérôme Bovet P. Frossard AAML 149 8 0 28 May 2021
Practical Convex Formulation of Robust One-hidden-layer Neural Network Training Yatong Bai Tanmay Gautam Yujie Gai Somayeh Sojoudi AAML 105 3 0 25 May 2021
Skew Orthogonal Convolutions Sahil Singla Soheil Feizi 88 69 0 24 May 2021
Anomaly Detection of Adversarial Examples using Class-conditional Generative Adversarial Networks Hang Wang David J. Miller G. Kesidis GAN AAML 64 13 0 21 May 2021
An Orthogonal Classifier for Improving the Adversarial Robustness of Neural Networks Cong Xu Xiang Li Min Yang AAML 64 15 0 19 May 2021
Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks Dequan Wang An Ju Evan Shelhamer David Wagner Trevor Darrell AAML 127 27 0 18 May 2021
Adversarial Examples Detection with Bayesian Neural Network Yao Li Tongyi Tang Cho-Jui Hsieh T. C. Lee GAN AAML 87 3 0 18 May 2021
Certified Robustness to Text Adversarial Attacks by Randomized [MASK] Jiehang Zeng Xiaoqing Zheng Jianhan Xu Linyang Li Liping Yuan Xuanjing Huang AAML 95 70 0 08 May 2021
Understanding Catastrophic Overfitting in Adversarial Training Peilin Kang Seyed-Mohsen Moosavi-Dezfooli AAML 79 16 0 06 May 2021
Dynamic Defense Approach for Adversarial Robustness in Deep Neural Networks via Stochastic Ensemble Smoothed Model Ruoxi Qin Linyuan Wang Xing-yuan Chen Xuehui Du Bin Yan AAML 69 5 0 06 May 2021
Learning Robust Variational Information Bottleneck with Reference Weizhu Qian Bowei Chen Xiaowei Huang AAML 37 1 0 29 Apr 2021
Impact of Spatial Frequency Based Constraints on Adversarial Robustness Rémi Bernhard Pierre-Alain Moëllic Martial Mermillod Yannick Bourrier Romain Cohendet M. Solinas M. Reyboz AAML 95 17 0 26 Apr 2021
Random Noise Defense Against Query-Based Black-Box Attacks Zeyu Qin Yanbo Fan H. Zha Baoyuan Wu AAML 140 60 0 23 Apr 2021
Randomized Algorithms for Scientific Computing (RASC) A. Buluç T. Kolda Stefan M. Wild M. Anitescu Anthony Degennaro ... D. Vrabie B. Wohlberg Stephen J. Wright Chao Yang Peter Zwart AI4CE 102 11 0 19 Apr 2021
Provable Robustness of Adversarial Training for Learning Halfspaces with Noise Difan Zou Spencer Frei Quanquan Gu 70 13 0 19 Apr 2021
Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness? Vikash Sehwag Saeed Mahloujifar Tinashe Handina Sihui Dai Chong Xiang M. Chiang Prateek Mittal OOD 126 131 0 19 Apr 2021
Direction-Aggregated Attack for Transferable Adversarial Examples Tianjin Huang Vlado Menkovski Yulong Pei Yuhao Wang Mykola Pechenizkiy AAML 78 15 0 19 Apr 2021
Rethinking Image-Scaling Attacks: The Interplay Between Vulnerabilities in Machine Learning Systems Yue Gao Ilia Shumailov Kassem Fawaz AAML 146 11 0 18 Apr 2021
Improving Zero-Shot Cross-Lingual Transfer Learning via Robust Training Kuan-Hao Huang Wasi Uddin Ahmad Nanyun Peng Kai-Wei Chang AAML 140 35 0 17 Apr 2021
Orthogonalizing Convolutional Layers with the Cayley Transform Asher Trockman J. Zico Kolter 100 115 0 14 Apr 2021
Simpler Certified Radius Maximization by Propagating Covariances Xingjian Zhen Rudrasis Chakraborty Vikas Singh AAML 42 5 0 13 Apr 2021
Sparse Coding Frontend for Robust Neural Networks Can Bakiskan Metehan Cekic Ahmet Dundar Sezer Upamanyu Madhow AAML 23 0 0 12 Apr 2021
Pay attention to your loss: understanding misconceptions about 1-Lipschitz neural networks Louis Bethune Thibaut Boissin M. Serrurier Franck Mamalet Corentin Friedrich Alberto González Sanz 123 23 0 11 Apr 2021
Relating Adversarially Robust Generalization to Flat Minima David Stutz Matthias Hein Bernt Schiele OOD 117 67 0 09 Apr 2021
Adversarial Robustness Guarantees for Gaussian Processes A. Patané Arno Blaas Luca Laurenti L. Cardelli Stephen J. Roberts Marta Z. Kwiatkowska GP AAML 202 9 0 07 Apr 2021
The art of defense: letting networks fool the attacker Jinlai Zhang Lyvjie Chen Binbin Liu Bojun Ouyang Jihong Zhu Minchi Kuang Houqing Wang Yanmei Meng AAML 3DPC 86 16 0 07 Apr 2021
Reliably fast adversarial training via latent adversarial perturbation Geon Yeong Park Sang Wan Lee AAML 73 28 0 04 Apr 2021
Domain Invariant Adversarial Learning Matan Levi Idan Attias A. Kontorovich AAML OOD 154 11 0 01 Apr 2021
Fast Certified Robust Training with Short Warmup Zhouxing Shi Yihan Wang Huan Zhang Jinfeng Yi Cho-Jui Hsieh AAML 107 57 0 31 Mar 2021
Adversarial Attacks and Defenses for Speech Recognition Systems Piotr Żelasko Sonal Joshi Yiwen Shao Jesus Villalba J. Trmal Najim Dehak Sanjeev Khudanpur AAML 63 29 0 31 Mar 2021
Robustness Certification for Point Cloud Models Tobias Lorenz Anian Ruoss Mislav Balunović Gagandeep Singh Martin Vechev 3DPC 101 26 0 30 Mar 2021
Certifiably-Robust Federated Adversarial Learning via Randomized Smoothing Cheng Chen B. Kailkhura R. Goldhahn Yi Zhou AAML FedML 66 16 0 30 Mar 2021
On the Adversarial Robustness of Vision Transformers Rulin Shao Zhouxing Shi Jinfeng Yi Pin-Yu Chen Cho-Jui Hsieh ViT 119 146 0 29 Mar 2021
Enhancing the Transferability of Adversarial Attacks through Variance Tuning Xiaosen Wang Kun He AAML 116 402 0 29 Mar 2021
Lagrangian Objective Function Leads to Improved Unforeseen Attack Generalization in Adversarial Training Mohammad Azizmalayeri M. Rohban OOD 85 4 0 29 Mar 2021
Improved Autoregressive Modeling with Distribution Smoothing Chenlin Meng Jiaming Song Yang Song Shengjia Zhao Stefano Ermon DiffM 83 23 0 28 Mar 2021
Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries Hai-Jian Ke Lue Tao Songcan Chen Sheng-Jun Huang AAML OOD 80 14 0 27 Mar 2021
Recent Advances in Large Margin Learning Yiwen Guo Changshui Zhang AAML AI4CE 128 13 0 25 Mar 2021
$Improved Estimation of Concentration Under $\ell_p$-Norm Distance Metrics Using Half Spaces$ Improved Estimation of Concentration Under $\ell_p$ -Norm Distance Metrics Using Half Spaces Jack Prescott Xiao Zhang David Evans 59 5 0 24 Mar 2021
Adversarial Feature Augmentation and Normalization for Visual Recognition Tianlong Chen Yu Cheng Zhe Gan Jianfeng Wang Lijuan Wang Zhangyang Wang Jingjing Liu AAML ViT 76 19 0 22 Mar 2021