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
Extremely Simple Activation Shaping for Out-of-Distribution Detection Andrija Djurisic Nebojsa Bozanic Arjun Ashok Rosanne Liu OODD 246 167 0 20 Sep 2022
Watch What You Pretrain For: Targeted, Transferable Adversarial Examples on Self-Supervised Speech Recognition models R. Olivier H. Abdullah Bhiksha Raj AAML 99 1 0 17 Sep 2022
Explicit Tradeoffs between Adversarial and Natural Distributional Robustness Mazda Moayeri Kiarash Banihashem Soheil Feizi OOD 129 23 0 15 Sep 2022
Adversarially Robust Learning: A Generic Minimax Optimal Learner and Characterization Omar Montasser Steve Hanneke Nathan Srebro 80 18 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
Certified Defences Against Adversarial Patch Attacks on Semantic Segmentation Maksym Yatsura K. Sakmann N. G. Hua Matthias Hein J. H. Metzen AAML 113 20 0 13 Sep 2022
CARE: Certifiably Robust Learning with Reasoning via Variational Inference Jiawei Zhang Linyi Li Ce Zhang Yue Liu AAML OOD 144 8 0 12 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
Unraveling the Connections between Privacy and Certified Robustness in Federated Learning Against Poisoning Attacks Chulin Xie Yunhui Long Pin-Yu Chen Qinbin Li Arash Nourian Sanmi Koyejo Bo Li FedML 153 13 0 08 Sep 2022
Revisiting Outer Optimization in Adversarial Training Ali Dabouei Fariborz Taherkhani Sobhan Soleymani Nasser M. Nasrabadi AAML 95 4 0 02 Sep 2022
Concept Gradient: Concept-based Interpretation Without Linear Assumption Andrew Bai Chih-Kuan Yeh Pradeep Ravikumar Neil Y. C. Lin Cho-Jui Hsieh 85 16 0 31 Aug 2022
Unrestricted Black-box Adversarial Attack Using GAN with Limited Queries Dongbin Na Sangwoo Ji Jong Kim AAML 84 17 0 24 Aug 2022
Reversing Skin Cancer Adversarial Examples by Multiscale Diffusive and Denoising Aggregation Mechanism Yongwei Wang Yuanpei Li Zhiqi Shen Yuhui Qiao DiffM MedIm 89 6 0 22 Aug 2022
Quantifying probabilistic robustness of tree-based classifiers against natural distortions Christoph Schweimer S. Scher 81 0 0 22 Aug 2022
PointDP: Diffusion-driven Purification against Adversarial Attacks on 3D Point Cloud Recognition Jiachen Sun Weili Nie Zhiding Yu Z. Morley Mao Chaowei Xiao DiffM 75 25 0 21 Aug 2022
Real-Time Robust Video Object Detection System Against Physical-World Adversarial Attacks Husheng Han Xingui Hu Kaidi Xu Pucheng Dang Ying Wang Yongwei Zhao Zidong Du Qi Guo Yanzhi Yang Tianshi Chen AAML 105 3 0 19 Aug 2022
On the Privacy Effect of Data Enhancement via the Lens of Memorization Xiao-Li Li Qiongxiu Li Zhan Hu Xiaolin Hu 98 15 0 17 Aug 2022
An Overview and Prospective Outlook on Robust Training and Certification of Machine Learning Models Brendon G. Anderson Tanmay Gautam Somayeh Sojoudi OOD 57 2 0 15 Aug 2022
Confidence Matters: Inspecting Backdoors in Deep Neural Networks via Distribution Transfer Tong Wang Yuan Yao F. Xu Miao Xu Shengwei An Ting Wang AAML 74 2 0 13 Aug 2022
Unifying Gradients to Improve Real-world Robustness for Deep Networks Yingwen Wu Sizhe Chen Kun Fang Xiaolin Huang AAML 88 3 0 12 Aug 2022
Robust Training and Verification of Implicit Neural Networks: A Non-Euclidean Contractive Approach Saber Jafarpour A. Davydov Matthew Abate Francesco Bullo Samuel Coogan 79 1 0 08 Aug 2022
On Transfer of Adversarial Robustness from Pretraining to Downstream Tasks Laura Fee Nern Harsh Raj Maurice Georgi Yash Sharma AAML 100 4 0 07 Aug 2022
FBI: Fingerprinting models with Benign Inputs Thibault Maho Teddy Furon Erwan Le Merrer AAML 76 4 0 05 Aug 2022
GeoECG: Data Augmentation via Wasserstein Geodesic Perturbation for Robust Electrocardiogram Prediction Jiacheng Zhu Jielin Qiu Zhuolin Yang Douglas Weber M. Rosenberg Emerson Liu Yue Liu Ding Zhao OOD 73 13 0 02 Aug 2022
DNNShield: Dynamic Randomized Model Sparsification, A Defense Against Adversarial Machine Learning Mohammad Hossein Samavatian Saikat Majumdar Kristin Barber R. Teodorescu AAML 94 2 0 31 Jul 2022
Robust Scene Inference under Noise-Blur Dual Corruptions Bhavya Goyal Jean-François Lalonde Yin Li Mohit Gupta NoLa 102 1 0 24 Jul 2022
Do Perceptually Aligned Gradients Imply Adversarial Robustness? Roy Ganz Bahjat Kawar Michael Elad AAML 76 10 0 22 Jul 2022
One-vs-the-Rest Loss to Focus on Important Samples in Adversarial Training Sekitoshi Kanai Shin'ya Yamaguchi Masanori Yamada Hiroshi Takahashi Kentaro Ohno Yasutoshi Ida AAML 87 9 0 21 Jul 2022
Robust Multivariate Time-Series Forecasting: Adversarial Attacks and Defense Mechanisms Linbo Liu Youngsuk Park T. Hoang Hilaf Hasson Jun Huan AAML 109 8 0 19 Jul 2022
Watermark Vaccine: Adversarial Attacks to Prevent Watermark Removal Xinwei Liu Jian Liu Yang Bai Jindong Gu Tao Chen Xiaojun Jia Xiaochun Cao AAML WIGM 73 28 0 17 Jul 2022
Achieve Optimal Adversarial Accuracy for Adversarial Deep Learning using Stackelberg Game Xiao-Shan Gao Shuang Liu Lijia Yu AAML 80 0 0 17 Jul 2022
Threat Model-Agnostic Adversarial Defense using Diffusion Models Tsachi Blau Roy Ganz Bahjat Kawar Alex M. Bronstein Michael Elad AAML DiffM 108 27 0 17 Jul 2022
Certified Neural Network Watermarks with Randomized Smoothing Arpit Bansal Ping Yeh-Chiang Michael J. Curry R. Jain Curtis Wigington Varun Manjunatha John P. Dickerson Tom Goldstein AAML 126 41 0 16 Jul 2022
Sound Randomized Smoothing in Floating-Point Arithmetics Václav Voráček Matthias Hein 101 4 0 14 Jul 2022
Provably Adversarially Robust Nearest Prototype Classifiers Václav Voráček Matthias Hein AAML 62 11 0 14 Jul 2022
Certified Adversarial Robustness via Anisotropic Randomized Smoothing Hanbin Hong Yuan Hong AAML 94 5 0 12 Jul 2022
RUSH: Robust Contrastive Learning via Randomized Smoothing Yijiang Pang Boyang Liu Jiayu Zhou OOD AAML 72 1 0 11 Jul 2022
Adversarial Framework with Certified Robustness for Time-Series Domain via Statistical Features Taha Belkhouja J. Doppa AAML AI4TS 66 12 0 09 Jul 2022
How many perturbations break this model? Evaluating robustness beyond adversarial accuracy R. Olivier Bhiksha Raj AAML 86 5 0 08 Jul 2022
Robust Counterfactual Explanations for Tree-Based Ensembles Sanghamitra Dutta Jason Long Saumitra Mishra Cecilia Tilli Daniele Magazzeni 89 55 0 06 Jul 2022
UniCR: Universally Approximated Certified Robustness via Randomized Smoothing Hanbin Hong Binghui Wang Yuan Hong AAML 87 11 0 05 Jul 2022
PRoA: A Probabilistic Robustness Assessment against Functional Perturbations Tianle Zhang Wenjie Ruan J. Fieldsend AAML 75 21 0 05 Jul 2022
IBP Regularization for Verified Adversarial Robustness via Branch-and-Bound Alessandro De Palma Rudy Bunel Krishnamurthy Dvijotham M. P. Kumar Robert Stanforth AAML 97 17 0 29 Jun 2022
RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy and Out Distribution Robustness Francesco Pinto Harry Yang Ser-Nam Lim Philip Torr P. Dokania UQCV 106 37 0 29 Jun 2022
Increasing Confidence in Adversarial Robustness Evaluations Roland S. Zimmermann Wieland Brendel Florian Tramèr Nicholas Carlini AAML 74 16 0 28 Jun 2022
Improved Text Classification via Test-Time Augmentation H. Lu Divya Shanmugam Harini Suresh John Guttag ViT 70 11 0 27 Jun 2022
Auditing Visualizations: Transparency Methods Struggle to Detect Anomalous Behavior Jean-Stanislas Denain Jacob Steinhardt AAML 112 7 0 27 Jun 2022
Utilizing Class Separation Distance for the Evaluation of Corruption Robustness of Machine Learning Classifiers George J. Siedel S. Vock Andrey Morozov Stefan Voss 50 3 0 27 Jun 2022
On Certifying and Improving Generalization to Unseen Domains Akshay Mehra B. Kailkhura Pin-Yu Chen Jihun Hamm OOD 106 4 0 24 Jun 2022
Input-agnostic Certified Group Fairness via Gaussian Parameter Smoothing Jiayin Jin Zeru Zhang Yang Zhou Lingfei Wu 75 13 0 22 Jun 2022