v1v2 (latest)

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
DropMessage: Unifying Random Dropping for Graph Neural Networks Taoran Fang Zhiqing Xiao Chunping Wang Jiarong Xu Xuan Yang Yang Yang 58 53 0 21 Apr 2022
Planting Undetectable Backdoors in Machine Learning Models S. Goldwasser Michael P. Kim Vinod Vaikuntanathan Or Zamir AAML 69 73 0 14 Apr 2022
3DeformRS: Certifying Spatial Deformations on Point Clouds S. GabrielPérez Juan C. Pérez Motasem Alfarra Silvio Giancola Guohao Li 3DPC 99 12 0 12 Apr 2022
A Simple Approach to Adversarial Robustness in Few-shot Image Classification Akshayvarun Subramanya Hamed Pirsiavash VLM 73 6 0 11 Apr 2022
Defense against Adversarial Attacks on Hybrid Speech Recognition using Joint Adversarial Fine-tuning with Denoiser Sonal Joshi Saurabh Kataria Yiwen Shao Piotr Żelasko Jesus Villalba Sanjeev Khudanpur Najim Dehak AAML 42 4 0 08 Apr 2022
Sampling-based Fast Gradient Rescaling Method for Highly Transferable Adversarial Attacks Xuechun Han Anmin Liu Yifeng Xiong Yanbo Fan Kun He AAML 94 5 0 06 Apr 2022
Robust and Accurate -- Compositional Architectures for Randomized Smoothing Miklós Z. Horváth Mark Niklas Muller Marc Fischer Martin Vechev UQCV AAML 73 14 0 01 Apr 2022
Scalable Whitebox Attacks on Tree-based Models Giuseppe Castiglione G. Ding Masoud Hashemi C. Srinivasa Ga Wu AAML 45 1 0 31 Mar 2022
Improving Adversarial Transferability via Neuron Attribution-Based Attacks Jianping Zhang Weibin Wu Jen-tse Huang Yizhan Huang Wenxuan Wang Yuxin Su Michael R. Lyu AAML 108 136 0 31 Mar 2022
StyleFool: Fooling Video Classification Systems via Style Transfer Yu Cao Xi Xiao Ruoxi Sun Derui Wang Minhui Xue Sheng Wen AAML 172 26 0 30 Mar 2022
Recent improvements of ASR models in the face of adversarial attacks R. Olivier Bhiksha Raj AAML 126 14 0 29 Mar 2022
Mel Frequency Spectral Domain Defenses against Adversarial Attacks on Speech Recognition Systems Nicholas Mehlman Anirudh Sreeram Raghuveer Peri Shrikanth Narayanan AAML 170 4 0 29 Mar 2022
How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective Yimeng Zhang Yuguang Yao Jinghan Jia Jinfeng Yi Min-Fong Hong Shiyu Chang Sijia Liu AAML 129 34 0 27 Mar 2022
Reverse Engineering of Imperceptible Adversarial Image Perturbations Yifan Gong Yuguang Yao Yize Li Yimeng Zhang Xiaoming Liu Xinyu Lin Sijia Liu AAML 172 21 0 26 Mar 2022
On Adversarial Robustness of Large-scale Audio Visual Learning Juncheng Billy Li Shuhui Qu Xinjian Li Po-Yao (Bernie) Huang Florian Metze AAML 75 8 0 23 Mar 2022
Adversarial Parameter Attack on Deep Neural Networks Lijia Yu Yihan Wang Xiao-Shan Gao AAML 76 9 0 20 Mar 2022
Deep Learning Generalization, Extrapolation, and Over-parameterization Roozbeh Yousefzadeh 33 1 0 19 Mar 2022
On the Convergence of Certified Robust Training with Interval Bound Propagation Yihan Wang Zhouxing Shi Quanquan Gu Cho-Jui Hsieh 69 9 0 16 Mar 2022
COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks Fan Wu Linyi Li Chejian Xu Huan Zhang B. Kailkhura K. Kenthapadi Ding Zhao Yue Liu AAML OffRL 74 38 0 16 Mar 2022
Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations? Y. Fu Shunyao Zhang Shan-Hung Wu Cheng Wan Yingyan Lin AAML 124 68 0 16 Mar 2022
Safe Neurosymbolic Learning with Differentiable Symbolic Execution Chenxi Yang Swarat Chaudhuri 80 9 0 15 Mar 2022
Optimizer Amalgamation Tianshu Huang Tianlong Chen Sijia Liu Shiyu Chang Lisa Amini Zhangyang Wang MoMe 84 4 0 12 Mar 2022
$Reverse Engineering $\ell_p$ attacks: A block-sparse optimization approach with recovery guarantees$ Reverse Engineering $\ell_p$ attacks: A block-sparse optimization approach with recovery guarantees D. Thaker Paris V. Giampouras René Vidal AAML 46 6 0 09 Mar 2022
Defending Black-box Skeleton-based Human Activity Classifiers He Wang Yunfeng Diao Zichang Tan G. Guo AAML 133 10 0 09 Mar 2022
Leveraging Randomized Smoothing for Optimal Control of Nonsmooth Dynamical Systems Quentin Le Lidec Fabian Schramm Louis Montaut Cordelia Schmid Ivan Laptev Justin Carpentier 114 24 0 08 Mar 2022
Quantum Local Differential Privacy and Quantum Statistical Query Model Armando Angrisani E. Kashefi 91 12 0 07 Mar 2022
A Quantitative Geometric Approach to Neural-Network Smoothness Zehao Wang Gautam Prakriya S. Jha 121 13 0 02 Mar 2022
Adversarially Robust Learning with Tolerance H. Ashtiani Vinayak Pathak Ruth Urner AAML 74 10 0 02 Mar 2022
Adversarial robustness of sparse local Lipschitz predictors Ramchandran Muthukumar Jeremias Sulam AAML 105 13 0 26 Feb 2022
Projective Ranking-based GNN Evasion Attacks He Zhang Lizhen Qu Chuan Zhou Shirui Pan AAML 96 24 0 25 Feb 2022
Understanding Adversarial Robustness from Feature Maps of Convolutional Layers Cong Xu Wei Zhang Jun Wang Min Yang AAML 71 2 0 25 Feb 2022
Robust Probabilistic Time Series Forecasting Taeho Yoon Youngsuk Park Ernest K. Ryu Yuyang Wang AAML AI4TS 61 18 0 24 Feb 2022
A Law of Robustness beyond Isoperimetry Yihan Wu Heng Huang Hongyang R. Zhang OOD 80 7 0 23 Feb 2022
HoneyModels: Machine Learning Honeypots Ahmed Abdou Ryan Sheatsley Yohan Beugin Tyler J. Shipp Patrick McDaniel AAML 57 3 0 21 Feb 2022
Robustness and Accuracy Could Be Reconcilable by (Proper) Definition Tianyu Pang Min Lin Xiao Yang Junyi Zhu Shuicheng Yan 125 125 0 21 Feb 2022
Transferring Adversarial Robustness Through Robust Representation Matching Pratik Vaishnavi Kevin Eykholt Amir Rahmati OOD AAML 74 11 0 21 Feb 2022
Learning Representations Robust to Group Shifts and Adversarial Examples Ming-Chang Chiu Xuezhe Ma OOD 53 0 0 18 Feb 2022
Learning Physics-Informed Neural Networks without Stacked Back-propagation Di He Shanda Li Wen-Wu Shi Xiaotian Gao Jia Zhang Jiang Bian Liwei Wang Tie-Yan Liu DiffM PINN AI4CE 79 24 0 18 Feb 2022
Stochastic Perturbations of Tabular Features for Non-Deterministic Inference with Automunge Nicholas J. Teague AAML 79 1 0 18 Feb 2022
Rethinking Machine Learning Robustness via its Link with the Out-of-Distribution Problem Abderrahmen Amich Birhanu Eshete OOD 42 4 0 18 Feb 2022
Holistic Adversarial Robustness of Deep Learning Models Pin-Yu Chen Sijia Liu AAML 112 16 0 15 Feb 2022
Boosting Barely Robust Learners: A New Perspective on Adversarial Robustness Avrim Blum Omar Montasser G. Shakhnarovich Hongyang R. Zhang 72 2 0 11 Feb 2022
Towards Assessing and Characterizing the Semantic Robustness of Face Recognition Juan C. Pérez Motasem Alfarra Ali K. Thabet Pablo Arbelaez Guohao Li AAML 84 1 0 10 Feb 2022
If a Human Can See It, So Should Your System: Reliability Requirements for Machine Vision Components Boyue Caroline Hu Lina Marsso Krzysztof Czarnecki Rick Salay Huakun Shen Marsha Chechik 143 21 0 08 Feb 2022
Verification-Aided Deep Ensemble Selection Guy Amir Tom Zelazny Guy Katz Michael Schapira AAML 114 17 0 08 Feb 2022
LyaNet: A Lyapunov Framework for Training Neural ODEs I. D. Rodriguez Aaron D. Ames Yisong Yue 81 52 0 05 Feb 2022
Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization Xiaojun Xu Jacky Y. Zhang Evelyn Ma Danny Son Oluwasanmi Koyejo Yue Liu 104 12 0 03 Feb 2022
ObjectSeeker: Certifiably Robust Object Detection against Patch Hiding Attacks via Patch-agnostic Masking Chong Xiang Alexander Valtchanov Saeed Mahloujifar Prateek Mittal AAML 90 23 0 03 Feb 2022
Certifying Out-of-Domain Generalization for Blackbox Functions Maurice Weber Linyi Li Wei Ping Zhikuan Zhao Yue Liu Ce Zhang OOD 79 16 0 03 Feb 2022
Smoothed Embeddings for Certified Few-Shot Learning Mikhail Aleksandrovich Pautov Olesya Kuznetsova Nurislam Tursynbek Aleksandr Petiushko Ivan Oseledets 99 6 0 02 Feb 2022