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
Certifiably Adversarially Robust Detection of Out-of-Distribution Data Julian Bitterwolf Alexander Meinke Matthias Hein 74 9 0 16 Jul 2020
Towards Evaluating Driver Fatigue with Robust Deep Learning Models Ken Alparslan Yigit Can Alparslan Matthew Burlick 48 7 0 16 Jul 2020
Learning perturbation sets for robust machine learning Eric Wong J. Zico Kolter OOD 85 81 0 16 Jul 2020
Explicit Regularisation in Gaussian Noise Injections A. Camuto M. Willetts Umut Simsekli Stephen J. Roberts Chris Holmes 108 59 0 14 Jul 2020
Towards a Theoretical Understanding of the Robustness of Variational Autoencoders A. Camuto M. Willetts Stephen J. Roberts Chris Holmes Tom Rainforth AAML DRL 80 31 0 14 Jul 2020
Adversarial Examples and Metrics Nico Döttling Kathrin Grosse Michael Backes Ian Molloy AAML 58 0 0 14 Jul 2020
Bounding The Number of Linear Regions in Local Area for Neural Networks with ReLU Activations Rui Zhu Bo Lin Haixu Tang MLT 57 4 0 14 Jul 2020
Adversarial robustness via robust low rank representations Pranjal Awasthi Himanshu Jain A. S. Rawat Aravindan Vijayaraghavan AAML 59 23 0 13 Jul 2020
Understanding Adversarial Examples from the Mutual Influence of Images and Perturbations Chaoning Zhang Philipp Benz Tooba Imtiaz In-So Kweon SSL AAML 92 119 0 13 Jul 2020
Boundary thickness and robustness in learning models Yaoqing Yang Rekha Khanna Yaodong Yu A. Gholami Kurt Keutzer Joseph E. Gonzalez Kannan Ramchandran Michael W. Mahoney OOD 82 42 0 09 Jul 2020
Making Adversarial Examples More Transferable and Indistinguishable Junhua Zou Yexin Duan Xin Liu Junyang Qiu Yu Pan Zhisong Pan AAML 80 32 0 08 Jul 2020
Understanding and Improving Fast Adversarial Training Maksym Andriushchenko Nicolas Flammarion AAML 110 295 0 06 Jul 2020
Towards Robust Deep Learning with Ensemble Networks and Noisy Layers Yuting Liang Reza Samavi AAML 37 2 0 03 Jul 2020
Opportunities and Challenges in Deep Learning Adversarial Robustness: A Survey S. Silva Peyman Najafirad AAML OOD 119 135 0 01 Jul 2020
Measuring Robustness to Natural Distribution Shifts in Image Classification Rohan Taori Achal Dave Vaishaal Shankar Nicholas Carlini Benjamin Recht Ludwig Schmidt OOD 177 549 0 01 Jul 2020
A Le Cam Type Bound for Adversarial Learning and Applications Qiuling Xu Kevin Bello Jean Honorio AAML 70 1 0 01 Jul 2020
Neural Network Virtual Sensors for Fuel Injection Quantities with Provable Performance Specifications Eric Wong Tim Schneider Joerg Schmitt Frank R. Schmidt J. Zico Kolter AAML 79 8 0 30 Jun 2020
Black-box Certification and Learning under Adversarial Perturbations H. Ashtiani Vinayak Pathak Ruth Urner AAML 64 20 0 30 Jun 2020
Deep Partition Aggregation: Provable Defense against General Poisoning Attacks Alexander Levine Soheil Feizi AAML 75 148 0 26 Jun 2020
Subpopulation Data Poisoning Attacks Matthew Jagielski Giorgio Severi Niklas Pousette Harger Alina Oprea AAML SILM 115 122 0 24 Jun 2020
RP2K: A Large-Scale Retail Product Dataset for Fine-Grained Image Classification Jingtian Peng Chang Xiao Yifan Li 132 45 0 22 Jun 2020
Learning to Generate Noise for Multi-Attack Robustness Divyam Madaan Jinwoo Shin Sung Ju Hwang NoLa AAML 158 25 0 22 Jun 2020
Network Moments: Extensions and Sparse-Smooth Attacks Modar Alfadly Adel Bibi Emilio Botero Salman Alsubaihi Guohao Li AAML 51 2 0 21 Jun 2020
Defense against Adversarial Attacks in NLP via Dirichlet Neighborhood Ensemble Yi Zhou Xiaoqing Zheng Cho-Jui Hsieh Kai-Wei Chang Xuanjing Huang SILM 112 48 0 20 Jun 2020
Backdoor Attacks to Graph Neural Networks Zaixi Zhang Jinyuan Jia Binghui Wang Neil Zhenqiang Gong GNN 109 221 0 19 Jun 2020
Improving Adversarial Robustness via Unlabeled Out-of-Domain Data Zhun Deng Linjun Zhang Amirata Ghorbani James Zou 99 32 0 15 Jun 2020
On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them Chen Liu Mathieu Salzmann Tao R. Lin Ryota Tomioka Sabine Süsstrunk AAML 143 82 0 15 Jun 2020
Markov-Lipschitz Deep Learning Stan Z. Li Zelin Zhang Lirong Wu 95 16 0 15 Jun 2020
Defensive Approximation: Securing CNNs using Approximate Computing Amira Guesmi Ihsen Alouani Khaled N. Khasawneh M. Baklouti T. Frikha Mohamed Abid Nael B. Abu-Ghazaleh AAML 93 38 0 13 Jun 2020
Rethinking Clustering for Robustness Motasem Alfarra Juan C. Pérez Adel Bibi Ali K. Thabet Pablo Arbelaez Guohao Li OOD 58 0 0 13 Jun 2020
Adversarial Self-Supervised Contrastive Learning Minseon Kim Jihoon Tack Sung Ju Hwang SSL 114 251 0 13 Jun 2020
D-square-B: Deep Distribution Bound for Natural-looking Adversarial Attack Qiuling Xu Guanhong Tao Xiangyu Zhang AAML 90 2 0 12 Jun 2020
On the Tightness of Semidefinite Relaxations for Certifying Robustness to Adversarial Examples Richard Y. Zhang AAML 69 26 0 11 Jun 2020
Backdoor Smoothing: Demystifying Backdoor Attacks on Deep Neural Networks Kathrin Grosse Taesung Lee Battista Biggio Youngja Park Michael Backes Ian Molloy AAML 72 10 0 11 Jun 2020
Achieving robustness in classification using optimal transport with hinge regularization M. Serrurier Franck Mamalet Alberto González Sanz Thibaut Boissin Jean-Michel Loubes E. del Barrio AAML 60 40 0 11 Jun 2020
Deterministic Gaussian Averaged Neural Networks Ryan Campbell Chris Finlay Adam M. Oberman FedML 32 1 0 10 Jun 2020
Provable tradeoffs in adversarially robust classification Yan Sun Hamed Hassani David Hong Alexander Robey 122 56 0 09 Jun 2020
Towards an Intrinsic Definition of Robustness for a Classifier Théo Giraudon Vincent Gripon Matthias Löwe Franck Vermet OOD AAML 34 2 0 09 Jun 2020
A Self-supervised Approach for Adversarial Robustness Muzammal Naseer Salman Khan Munawar Hayat Fahad Shahbaz Khan Fatih Porikli AAML 101 262 0 08 Jun 2020
Adversarial Feature Desensitization P. Bashivan Reza Bayat Adam Ibrahim Kartik Ahuja Mojtaba Faramarzi Touraj Laleh Blake A. Richards Irina Rish AAML 76 21 0 08 Jun 2020
Extensions and limitations of randomized smoothing for robustness guarantees Jamie Hayes AAML 62 21 0 07 Jun 2020
Consistency Regularization for Certified Robustness of Smoothed Classifiers Jongheon Jeong Jinwoo Shin AAML 102 88 0 07 Jun 2020
Towards Understanding Fast Adversarial Training Bai Li Shiqi Wang Suman Jana Lawrence Carin AAML 85 50 0 04 Jun 2020
Second-Order Provable Defenses against Adversarial Attacks Sahil Singla Soheil Feizi AAML 81 60 0 01 Jun 2020
Exploring Model Robustness with Adaptive Networks and Improved Adversarial Training Zheng Xu Ali Shafahi Tom Goldstein AAML 62 2 0 30 May 2020
SAFER: A Structure-free Approach for Certified Robustness to Adversarial Word Substitutions Mao Ye Chengyue Gong Qiang Liu AAML 80 97 0 29 May 2020
Adversarial Classification via Distributional Robustness with Wasserstein Ambiguity Nam Ho-Nguyen Stephen J. Wright OOD 117 17 0 28 May 2020
Calibrated Surrogate Losses for Adversarially Robust Classification Han Bao Clayton Scott Masashi Sugiyama 98 46 0 28 May 2020
Stochastic Security: Adversarial Defense Using Long-Run Dynamics of Energy-Based Models Mitch Hill Jonathan Mitchell Song-Chun Zhu AAML 105 72 0 27 May 2020
Model-Based Robust Deep Learning: Generalizing to Natural, Out-of-Distribution Data Alexander Robey Hamed Hassani George J. Pappas OOD 122 43 0 20 May 2020