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Certified Defense to Image Transformations via Randomized Smoothing

Neural Information Processing Systems (NeurIPS), 2020

27 February 2020

Marc Fischer

Maximilian Baader

Martin Vechev

AAML

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Papers citing "Certified Defense to Image Transformations via Randomized Smoothing"

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Title
Reconcile Certified Robustness and Accuracy for DNN-based Smoothed Majority Vote Classifier Gaojie Jin Xinping Yi Xiaowei Huang AAML 28 0 0 30 Sep 2025
Randomized Smoothing Meets Vision-Language Models Emmanouil Seferis Changshun Wu Stefanos D. Kollias Saddek Bensalem Chih-Hong Cheng AAML 32 0 0 19 Sep 2025
Cumulative Consensus Score: Label-Free and Model-Agnostic Evaluation of Object Detectors in Deployment Avinaash Manoharan Xiangyu Yin Domenik Helm Chih-Hong Cheng 36 0 0 16 Sep 2025
Principal Eigenvalue Regularization for Improved Worst-Class Certified Robustness of Smoothed Classifiers Gaojie Jin Tianjin Huang Ronghui Mu Xiaowei Huang AAML 160 0 0 21 Mar 2025
Verification of Geometric Robustness of Neural Networks via Piecewise Linear Approximation and Lipschitz OptimisationEuropean Conference on Artificial Intelligence (ECAI), 2024 Ben Batten Yang Zheng Alessandro De Palma Panagiotis Kouvaros A. Lomuscio AAML 151 1 0 23 Aug 2024
Certified Robustness against Sparse Adversarial Perturbations via Data Localization Ambar Pal Rene Vidal Jeremias Sulam 75 0 0 23 May 2024
RS-Reg: Probabilistic and Robust Certified Regression Through Randomized Smoothing Aref Miri Rekavandi Olga Ohrimenko Benjamin I. P. Rubinstein AAML 141 3 0 14 May 2024
$Estimating the Robustness Radius for Randomized Smoothing with 100$\times$ Sample Efficiency$ Estimating the Robustness Radius for Randomized Smoothing with 100 $\times$ Sample Efficiency Emmanouil Seferis Stefanos D. Kollias Chih-Hong Cheng AAML 119 3 0 26 Apr 2024
Accelerated Smoothing: A Scalable Approach to Randomized Smoothing Devansh Bhardwaj Kshitiz Kaushik Sarthak Gupta AAML 221 0 0 12 Feb 2024
Trust, But Verify: A Survey of Randomized Smoothing Techniques Anupriya Kumari Devansh Bhardwaj Sukrit Jindal Sarthak Gupta AAML 175 2 0 19 Dec 2023
Multi-scale Diffusion Denoised SmoothingNeural Information Processing Systems (NeurIPS), 2023 Jongheon Jeong Jinwoo Shin DiffM 193 10 0 25 Oct 2023
SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks Avi Schwarzschild Eric Wong Hamed Hassani George J. Pappas AAML 390 349 0 05 Oct 2023
Adversarial Examples Might be Avoidable: The Role of Data Concentration in Adversarial RobustnessNeural Information Processing Systems (NeurIPS), 2023 Ambar Pal Huaijin Hao Rene Vidal 194 9 0 28 Sep 2023
Pixel-wise Smoothing for Certified Robustness against Camera Motion PerturbationsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 Hanjiang Hu Zuxin Liu Linyi Li Jiacheng Zhu Ding Zhao 120 1 0 22 Sep 2023
General Lipschitz: Certified Robustness Against Resolvable Semantic Transformations via Transformation-Dependent Randomized SmoothingEuropean Conference on Artificial Intelligence (ECAI), 2023 Dmitrii Korzh Alireza Azadbakht Maryam Tahmasbi Alireza Javaheri AAML 127 0 0 17 Aug 2023
Fixed Inter-Neuron Covariability Induces Adversarial RobustnessIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023 Muhammad Ahmed Shah Bhiksha Raj AAML 52 0 0 07 Aug 2023
Training on Foveated Images Improves Robustness to Adversarial AttacksNeural Information Processing Systems (NeurIPS), 2023 Muhammad Ahmed Shah Bhiksha Raj AAML 110 6 0 01 Aug 2023
Text-CRS: A Generalized Certified Robustness Framework against Textual Adversarial AttacksIEEE Symposium on Security and Privacy (IEEE S&P), 2023 Xinyu Zhang Hanbin Hong Yuan Hong Peng Huang Binghui Wang Zhongjie Ba Kui Ren SILM 206 30 0 31 Jul 2023
On the Fly Neural Style Smoothing for Risk-Averse Domain GeneralizationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023 Akshay Mehra Yunbei Zhang B. Kailkhura Jihun Hamm 206 3 0 17 Jul 2023
Precise and Generalized Robustness Certification for Neural NetworksUSENIX Security Symposium (USENIX Security), 2023 Yuanyuan Yuan Shuai Wang Z. Su AAML 127 3 0 11 Jun 2023
Incremental Randomized Smoothing CertificationInternational Conference on Learning Representations (ICLR), 2023 Shubham Ugare Tarun Suresh Debangshu Banerjee Gagandeep Singh Sasa Misailovic AAML 167 8 0 31 May 2023
A Survey on the Robustness of Computer Vision Models against Common Corruptions Shunxin Wang Raymond N. J. Veldhuis Christoph Brune N. Strisciuglio OOD VLM 323 18 0 10 May 2023
A Certified Radius-Guided Attack Framework to Image Segmentation ModelsEuropean Symposium on Security and Privacy (Euro S&P), 2023 Wenjie Qu Youqi Li Binghui Wang AAML 96 5 0 05 Apr 2023
RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers via Randomized DeletionNeural Information Processing Systems (NeurIPS), 2023 Zhuoqun Huang Neil G. Marchant Keane Lucas Lujo Bauer O. Ohrimenko Benjamin I. P. Rubinstein AAML 187 18 0 31 Jan 2023
Towards Verifying the Geometric Robustness of Large-scale Neural NetworksAAAI Conference on Artificial Intelligence (AAAI), 2023 Fu Lee Wang Peipei Xu Wenjie Ruan Xiaowei Huang AAML 225 12 0 29 Jan 2023
OccRob: Efficient SMT-Based Occlusion Robustness Verification of Deep Neural NetworksInternational Conference on Tools and Algorithms for Construction and Analysis of Systems (TACAS), 2023 Xingwu Guo Ziwei Zhou Yueling Zhang Guy Katz Hao Fei AAML 123 7 0 27 Jan 2023
Invariance-Aware Randomized Smoothing CertificatesNeural Information Processing Systems (NeurIPS), 2022 Jan Schuchardt Stephan Günnemann AAML 139 8 0 25 Nov 2022
Localized Randomized Smoothing for Collective Robustness CertificationInternational Conference on Learning Representations (ICLR), 2022 Jan Schuchardt Thomas Wollschläger Aleksandar Bojchevski Stephan Günnemann AAML 151 10 0 28 Oct 2022
Private and Reliable Neural Network InferenceConference on Computer and Communications Security (CCS), 2022 Nikola Jovanović Marc Fischer Samuel Steffen Martin Vechev 133 18 0 27 Oct 2022
Robustness Certification of Visual Perception Models via Camera Motion SmoothingConference on Robot Learning (CoRL), 2022 Hanjiang Hu Zuxin Liu Linyi Li Jiacheng Zhu Ding Zhao AAML 124 7 0 04 Oct 2022
A Simple Strategy to Provable Invariance via Orbit MappingAsian Conference on Computer Vision (ACCV), 2022 Kanchana Vaishnavi Gandikota Jonas Geiping Zorah Lähner Adam Czapliñski Michael Moeller AAML 3DPC 150 3 0 24 Sep 2022
Provable Defense Against Geometric TransformationsInternational Conference on Learning Representations (ICLR), 2022 Rem Yang Jacob S. Laurel Sasa Misailovic Gagandeep Singh AAML 142 18 0 22 Jul 2022
GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized SmoothingInternational Conference on Machine Learning (ICML), 2022 Zhongkai Hao Chengyang Ying Yinpeng Dong Hang Su Jun Zhu Jian Song AAML 116 25 0 09 Jun 2022
(De-)Randomized Smoothing for Decision Stump EnsemblesNeural Information Processing Systems (NeurIPS), 2022 Miklós Z. Horváth Mark Niklas Muller Marc Fischer Martin Vechev 126 4 0 27 May 2022
TPC: Transformation-Specific Smoothing for Point Cloud ModelsInternational Conference on Machine Learning (ICML), 2022 Wen-Hsuan Chu Linyi Li Yue Liu 3DPC 216 14 0 30 Jan 2022
Certifying Model Accuracy under Distribution Shifts Aounon Kumar Alexander Levine Tom Goldstein Soheil Feizi OOD 149 8 0 28 Jan 2022
Input-Specific Robustness Certification for Randomized SmoothingAAAI Conference on Artificial Intelligence (AAAI), 2021 Ruoxin Chen Jie Li Junchi Yan Ping Li Bin Sheng AAML 180 19 0 21 Dec 2021
Certified Adversarial Defenses Meet Out-of-Distribution Corruptions: Benchmarking Robustness and Simple Baselines Jiachen Sun Akshay Mehra B. Kailkhura Pin-Yu Chen Dan Hendrycks Jihun Hamm Z. Morley Mao AAML 101 23 0 01 Dec 2021
CC-Cert: A Probabilistic Approach to Certify General Robustness of Neural NetworksAAAI Conference on Artificial Intelligence (AAAI), 2021 Mikhail Aleksandrovich Pautov Nurislam Tursynbek Marina Munkhoeva Nikita Muravev Aleksandr Petiushko Ivan Oseledets AAML 117 20 0 22 Sep 2021
Shared Certificates for Neural Network VerificationInternational Conference on Computer Aided Verification (CAV), 2021 Marc Fischer C. Sprecher Dimitar I. Dimitrov Gagandeep Singh Martin Vechev AAML 159 16 0 01 Sep 2021
Advances in adversarial attacks and defenses in computer vision: A survey Naveed Akhtar Lin Wang Navid Kardan M. Shah AAML 366 282 0 01 Aug 2021
ANCER: Anisotropic Certification via Sample-wise Volume Maximization Francisco Eiras Motasem Alfarra M. P. Kumar Juil Sock P. Dokania Guohao Li Adel Bibi 130 35 0 09 Jul 2021
DeformRS: Certifying Input Deformations with Randomized Smoothing Motasem Alfarra Adel Bibi Naeemullah Khan Juil Sock Guohao Li 100 23 0 02 Jul 2021
Scalable Certified Segmentation via Randomized SmoothingInternational Conference on Machine Learning (ICML), 2021 Marc Fischer Maximilian Baader Martin Vechev 118 46 0 01 Jul 2021
Certified Robustness via Randomized Smoothing over Multiplicative Parameters of Input TransformationsInternational Joint Conference on Artificial Intelligence (IJCAI), 2021 Nikita Muravev Aleksandr Petiushko AAML 95 9 0 28 Jun 2021
Boosting Randomized Smoothing with Variance Reduced ClassifiersInternational Conference on Learning Representations (ICLR), 2021 Miklós Z. Horváth Mark Niklas Muller Marc Fischer Martin Vechev AAML UQCV 187 54 0 13 Jun 2021
Robustness Certification for Point Cloud ModelsIEEE International Conference on Computer Vision (ICCV), 2021 Tobias Lorenz Anian Ruoss Mislav Balunović Gagandeep Singh Martin Vechev 3DPC 159 28 0 30 Mar 2021
Improved, Deterministic Smoothing for L_1 Certified RobustnessInternational Conference on Machine Learning (ICML), 2021 Alexander Levine Soheil Feizi AAML 163 47 0 17 Mar 2021
Efficient Certification of Spatial RobustnessAAAI Conference on Artificial Intelligence (AAAI), 2020 Anian Ruoss Maximilian Baader Mislav Balunović Martin Vechev AAML 99 26 0 19 Sep 2020
SoK: Certified Robustness for Deep Neural NetworksIEEE Symposium on Security and Privacy (IEEE S&P), 2020 Linyi Li Tao Xie Yue Liu AAML 456 140 0 09 Sep 2020