Certified Adversarial Robustness via Randomized Smoothing

8 February 2019

J. Zico Kolter

Papers citing "Certified Adversarial Robustness via Randomized Smoothing"

50 / 548 papers shown

Title
(De-)Randomized Smoothing for Decision Stump Ensembles Miklós Z. Horváth Mark Niklas Muller Marc Fischer Martin Vechev 43 3 0 27 May 2022
Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power Binghui Li Jikai Jin Han Zhong John E. Hopcroft Liwei Wang OOD 87 27 0 27 May 2022
Pruning has a disparate impact on model accuracy Cuong Tran Ferdinando Fioretto Jung-Eun Kim Rakshit Naidu 50 40 0 26 May 2022
Transferable Adversarial Attack based on Integrated Gradients Yunpeng Huang A. Kong AAML 45 50 0 26 May 2022
Learning to Ignore Adversarial Attacks Yiming Zhang Yan Zhou Samuel Carton Chenhao Tan 62 2 0 23 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 51 3 0 16 May 2022
Diffusion Models for Adversarial Purification Weili Nie Brandon Guo Yujia Huang Chaowei Xiao Arash Vahdat Anima Anandkumar WIGM 221 429 0 16 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 42 2 0 12 May 2022
Complete Verification via Multi-Neuron Relaxation Guided Branch-and-Bound Claudio Ferrari Mark Niklas Muller Nikola Jovanović Martin Vechev 47 85 0 30 Apr 2022
Randomized Smoothing under Attack: How Good is it in Pratice? Thibault Maho Teddy Furon Erwan Le Merrer AAML 26 10 0 28 Apr 2022
3DeformRS: Certifying Spatial Deformations on Point Clouds S. GabrielPérez Juan C. Pérez Motasem Alfarra Silvio Giancola Guohao Li 3DPC 45 12 0 12 Apr 2022
A Simple Approach to Adversarial Robustness in Few-shot Image Classification Akshayvarun Subramanya Hamed Pirsiavash VLM 38 6 0 11 Apr 2022
Sampling-based Fast Gradient Rescaling Method for Highly Transferable Adversarial Attacks Xuechun Han Anmin Liu Yifeng Xiong Yanbo Fan Kun He AAML 50 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 34 13 0 01 Apr 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 45 131 0 31 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 60 34 0 27 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 36 34 0 16 Mar 2022
Safe Neurosymbolic Learning with Differentiable Symbolic Execution Chenxi Yang Swarat Chaudhuri 35 9 0 15 Mar 2022
Defending Black-box Skeleton-based Human Activity Classifiers He Wang Yunfeng Diao Zichang Tan G. Guo AAML 62 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 46 24 0 08 Mar 2022
A Quantitative Geometric Approach to Neural-Network Smoothness Zehao Wang Gautam Prakriya S. Jha 60 13 0 02 Mar 2022
Adversarially Robust Learning with Tolerance H. Ashtiani Vinayak Pathak Ruth Urner AAML 31 9 0 02 Mar 2022
Adversarial robustness of sparse local Lipschitz predictors Ramchandran Muthukumar Jeremias Sulam AAML 39 13 0 26 Feb 2022
Projective Ranking-based GNN Evasion Attacks He Zhang Lizhen Qu Chuan Zhou Shirui Pan AAML 47 24 0 25 Feb 2022
Robust Probabilistic Time Series Forecasting Taeho Yoon Youngsuk Park Ernest K. Ryu Yuyang Wang AAML AI4TS 30 18 0 24 Feb 2022
HoneyModels: Machine Learning Honeypots Ahmed Abdou Ryan Sheatsley Yohan Beugin Tyler J. Shipp Patrick McDaniel AAML 24 3 0 21 Feb 2022
Robustness and Accuracy Could Be Reconcilable by (Proper) Definition Tianyu Pang Min Lin Xiao Yang Junyi Zhu Shuicheng Yan 40 120 0 21 Feb 2022
Stochastic Perturbations of Tabular Features for Non-Deterministic Inference with Automunge Nicholas J. Teague AAML 43 1 0 18 Feb 2022
Holistic Adversarial Robustness of Deep Learning Models Pin-Yu Chen Sijia Liu AAML 54 16 0 15 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 37 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 29 21 0 08 Feb 2022
Verification-Aided Deep Ensemble Selection Guy Amir Tom Zelazny Guy Katz Michael Schapira AAML 35 18 0 08 Feb 2022
LyaNet: A Lyapunov Framework for Training Neural ODEs I. D. Rodriguez Aaron D. Ames Yisong Yue 50 51 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 30 12 0 03 Feb 2022
Smoothed Embeddings for Certified Few-Shot Learning Mikhail Aleksandrovich Pautov Olesya Kuznetsova Nurislam Tursynbek Aleksandr Petiushko Ivan Oseledets 47 5 0 02 Feb 2022
Boundary Defense Against Black-box Adversarial Attacks Manjushree B. Aithal Xiaohua Li AAML 31 6 0 31 Jan 2022
Certifying Model Accuracy under Distribution Shifts Aounon Kumar Alexander Levine Tom Goldstein Soheil Feizi OOD 38 7 0 28 Jan 2022
Identifying Adversarial Attacks on Text Classifiers Zhouhang Xie Jonathan Brophy Adam Noack Wencong You Kalyani Asthana Carter Perkins Sabrina Reis Sameer Singh Daniel Lowd AAML 36 9 0 21 Jan 2022
On the Minimal Adversarial Perturbation for Deep Neural Networks with Provable Estimation Error Fabio Brau Giulio Rossolini Alessandro Biondi Giorgio Buttazzo AAML 42 7 0 04 Jan 2022
Robust Natural Language Processing: Recent Advances, Challenges, and Future Directions Marwan Omar Soohyeon Choi Daehun Nyang David A. Mohaisen 49 57 0 03 Jan 2022
End-to-End Autoencoder Communications with Optimized Interference Suppression Kemal Davaslioglu T. Erpek Y. Sagduyu 47 4 0 29 Dec 2021
Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural Networks Weiran Lin Keane Lucas Lujo Bauer Michael K. Reiter Mahmood Sharif AAML 36 5 0 28 Dec 2021
Temporal Shuffling for Defending Deep Action Recognition Models against Adversarial Attacks Ian Ryu Huan Zhang Jun-Ho Choi Cho-Jui Hsieh Jong-Seok Lee AAML 38 5 0 15 Dec 2021
On the Impact of Hard Adversarial Instances on Overfitting in Adversarial Training Chen Liu Zhichao Huang Mathieu Salzmann Tong Zhang Sabine Süsstrunk AAML 55 13 0 14 Dec 2021
Triangle Attack: A Query-efficient Decision-based Adversarial Attack Xiaosen Wang Zeliang Zhang Kangheng Tong Dihong Gong Kun He Zhifeng Li Wei Liu AAML 29 57 0 13 Dec 2021
Interpolated Joint Space Adversarial Training for Robust and Generalizable Defenses Chun Pong Lau Jiang-Long Liu Hossein Souri Wei-An Lin Soheil Feizi Ramalingam Chellappa AAML 34 12 0 12 Dec 2021
Efficient Action Poisoning Attacks on Linear Contextual Bandits Guanlin Liu Lifeng Lai AAML 46 4 0 10 Dec 2021
Mutual Adversarial Training: Learning together is better than going alone Jiang-Long Liu Chun Pong Lau Hossein Souri Soheil Feizi Ramalingam Chellappa OOD AAML 48 24 0 09 Dec 2021
A Continuous-time Stochastic Gradient Descent Method for Continuous Data Kexin Jin J. Latz Chenguang Liu Carola-Bibiane Schönlieb 39 9 0 07 Dec 2021
On the Existence of the Adversarial Bayes Classifier (Extended Version) Pranjal Awasthi Natalie Frank M. Mohri 50 24 0 03 Dec 2021