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MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius

8 January 2020

Papers citing "MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius"

50 / 116 papers shown

Title
Cert-SSB: Toward Certified Sample-Specific Backdoor Defense Ting Qiao Yansen Wang Xing Liu Sixing Wu Jianbing Li Yiming Li AAML SILM 145 0 0 30 Apr 2025
AuditVotes: A Framework Towards More Deployable Certified Robustness for Graph Neural Networks Y. Lai Yulin Zhu Yizhou Sun Yongpeng Wu Bin Xiao Gaolei Li Jianhua Li Kai Zhou AAML 118 0 0 29 Mar 2025
Robust Representation Consistency Model via Contrastive Denoising Jiachen Lei Julius Berner Jiongxiao Wang Zhongzhu Chen Zhongjia Ba Kui Ren Jun Zhu Anima Anandkumar DiffM 149 0 0 22 Jan 2025
Learning Robust and Privacy-Preserving Representations via Information Theory Binghui Zhang Sayedeh Leila Noorbakhsh Yun Dong Yuan Hong Binghui Wang 144 0 0 15 Dec 2024
Average Certified Radius is a Poor Metric for Randomized Smoothing Chenhao Sun Yuhao Mao Mark Niklas Muller Martin Vechev AAML 96 0 0 09 Oct 2024
Filtered Randomized Smoothing: A New Defense for Robust Modulation Classification Wenhan Zhang Meiyu Zhong Ravi Tandon Marwan Krunz AAML 58 1 0 08 Oct 2024
Certified Causal Defense with Generalizable Robustness Yiran Qiao Yu Yin Chen Chen Jing Ma AAML OOD CML 177 0 0 28 Aug 2024
Deep Learning at the Intersection: Certified Robustness as a Tool for 3D Vision Gabriel Pérez S Juan C. Pérez Motasem Alfarra Jesus Zarzar Sara Rojas Bernard Ghanem Pablo Arbeláez 3DV 35 0 0 23 Aug 2024
RSC-SNN: Exploring the Trade-off Between Adversarial Robustness and Accuracy in Spiking Neural Networks via Randomized Smoothing Coding Keming Wu Man Yao Yuhong Chou Xuerui Qiu Rui Yang Boxing Xu Guoqi Li AAML 60 4 0 29 Jul 2024
Adversarial Robustification via Text-to-Image Diffusion Models Daewon Choi Jongheon Jeong Huiwon Jang Jinwoo Shin DiffM 111 2 0 26 Jul 2024
BadCLM: Backdoor Attack in Clinical Language Models for Electronic Health Records Weimin Lyu Zexin Bi Fusheng Wang Chao Chen 80 6 0 06 Jul 2024
SPLITZ: Certifiable Robustness via Split Lipschitz Randomized Smoothing Meiyu Zhong Ravi Tandon 123 3 0 03 Jul 2024
Consistency Purification: Effective and Efficient Diffusion Purification towards Certified Robustness Yiquan Li Zhongzhu Chen Kun Jin Jiongxiao Wang Bo Li Chaowei Xiao DiffM 91 2 0 30 Jun 2024
Distributional Adversarial Loss Saba Ahmadi Siddharth Bhandari Avrim Blum Chen Dan Prabhav Jain 76 0 0 05 Jun 2024
CR-UTP: Certified Robustness against Universal Text Perturbations on Large Language Models Qian Lou Xin Liang Jiaqi Xue Yancheng Zhang Rui Xie Mengxin Zheng AAML 59 0 0 04 Jun 2024
Certifying Adapters: Enabling and Enhancing the Certification of Classifier Adversarial Robustness Jieren Deng Hanbin Hong A. Palmer Xin Zhou Jinbo Bi Kaleel Mahmood Yuan Hong Derek Aguiar AAML 62 0 0 25 May 2024
Towards Certification of Uncertainty Calibration under Adversarial Attacks Cornelius Emde Francesco Pinto Thomas Lukasiewicz Philip Torr Adel Bibi AAML 109 1 0 22 May 2024
Provably Robust Conformal Prediction with Improved Efficiency Ge Yan Yaniv Romano Tsui-Wei Weng 95 16 0 30 Apr 2024
Mitigating the Curse of Dimensionality for Certified Robustness via Dual Randomized Smoothing Song Xia Yu Yi Xudong Jiang Henghui Ding 115 10 0 15 Apr 2024
Certified PEFTSmoothing: Parameter-Efficient Fine-Tuning with Randomized Smoothing Chengyan Fu Wenjie Wang AAML 87 0 0 08 Apr 2024
Large Language Models and Causal Inference in Collaboration: A Survey Xiaoyu Liu Paiheng Xu Junda Wu Jiaxin Yuan Yifan Yang ... Haoliang Wang Tong Yu Julian McAuley Wei Ai Furong Huang ELM LRM 130 5 0 14 Mar 2024
Accelerated Smoothing: A Scalable Approach to Randomized Smoothing Devansh Bhardwaj Kshitiz Kaushik Sarthak Gupta AAML 107 0 0 12 Feb 2024
Your Diffusion Model is Secretly a Certifiably Robust Classifier Huanran Chen Yinpeng Dong Shitong Shao Zhongkai Hao Xiao Yang Hang Su Jun Zhu DiffM 96 15 0 04 Feb 2024
Trust, But Verify: A Survey of Randomized Smoothing Techniques Anupriya Kumari Devansh Bhardwaj Sukrit Jindal Sarthak Gupta AAML 86 4 0 19 Dec 2023
Exploring Transferability for Randomized Smoothing Kai Qiu Huishuai Zhang Zhirong Wu Stephen Lin AAML 50 1 0 14 Dec 2023
$Improve Robustness of Reinforcement Learning against Observation Perturbations via $l_\infty$ Lipschitz Policy Networks$ Improve Robustness of Reinforcement Learning against Observation Perturbations via $l_\infty$ Lipschitz Policy Networks Buqing Nie Jingtian Ji Yangqing Fu Yue Gao 71 4 0 14 Dec 2023
Node-aware Bi-smoothing: Certified Robustness against Graph Injection Attacks Y. Lai Yulin Zhu Bailin Pan Kai Zhou AAML 81 7 0 07 Dec 2023
Adversarial defense based on distribution transfer Jiahao Chen Diqun Yan Li Dong 68 0 0 23 Nov 2023
Fast Certification of Vision-Language Models Using Incremental Randomized Smoothing Ashutosh Nirala Ameya Joshi Chinmay Hegde S Sarkar VLM 75 0 0 15 Nov 2023
Multi-scale Diffusion Denoised Smoothing Jongheon Jeong Jinwoo Shin DiffM 88 8 0 25 Oct 2023
Provably Cost-Sensitive Adversarial Defense via Randomized Smoothing Yuan Xin Dingfan Chen Michael Backes Xiao Zhang AAML 63 0 0 12 Oct 2023
Promoting Robustness of Randomized Smoothing: Two Cost-Effective Approaches Linbo Liu T. Hoang Lam M. Nguyen Tsui-Wei Weng AAML 46 0 0 11 Oct 2023
A Recipe for Improved Certifiable Robustness Kai Hu Klas Leino Zifan Wang Matt Fredrikson AAML 118 7 0 04 Oct 2023
Projected Randomized Smoothing for Certified Adversarial Robustness Samuel Pfrommer Brendon G. Anderson Somayeh Sojoudi AAML 71 16 0 25 Sep 2023
It's Simplex! Disaggregating Measures to Improve Certified Robustness Andrew C. Cullen Paul Montague Shijie Liu S. Erfani Benjamin I. P. Rubinstein 70 3 0 20 Sep 2023
DiffSmooth: Certifiably Robust Learning via Diffusion Models and Local Smoothing Jiawei Zhang Zhongzhu Chen Huan Zhang Chaowei Xiao Yue Liu DiffM 82 26 0 28 Aug 2023
Improving Viewpoint Robustness for Visual Recognition via Adversarial Training Shouwei Ruan Yinpeng Dong Han Su Jianteng Peng Ning Chen Xingxing Wei 55 7 0 21 Jul 2023
[Re] Double Sampling Randomized Smoothing A. Gupta Sarthak Gupta Abhay Kumar Harsh Dugar AAML 39 0 0 27 Jun 2023
Augment then Smooth: Reconciling Differential Privacy with Certified Robustness Jiapeng Wu Atiyeh Ashari Ghomi David Glukhov Jesse C. Cresswell Franziska Boenisch Nicolas Papernot AAML 82 2 0 14 Jun 2023
Understanding Noise-Augmented Training for Randomized Smoothing Ambar Pal Jeremias Sulam AAML 67 7 0 08 May 2023
Certified Adversarial Robustness Within Multiple Perturbation Bounds Soumalya Nandi Sravanti Addepalli Harsh Rangwani R. Venkatesh Babu AAML 58 3 0 20 Apr 2023
A Certified Radius-Guided Attack Framework to Image Segmentation Models Wenjie Qu Youqi Li Binghui Wang AAML 50 5 0 05 Apr 2023
Turning Strengths into Weaknesses: A Certified Robustness Inspired Attack Framework against Graph Neural Networks Binghui Wang Meng Pang Yun Dong AAML 54 16 0 10 Mar 2023
Et Tu Certifications: Robustness Certificates Yield Better Adversarial Examples Andrew C. Cullen Shijie Liu Paul Montague S. Erfani Benjamin I. P. Rubinstein AAML 77 3 0 09 Feb 2023
Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics Jiacheng Zhu Jielin Qiu Aritra Guha Zhuolin Yang X. Nguyen Yue Liu Ding Zhao OOD 78 2 0 04 Feb 2023
Asymmetric Certified Robustness via Feature-Convex Neural Networks Samuel Pfrommer Brendon G. Anderson Julien Piet Somayeh Sojoudi AAML 86 8 0 03 Feb 2023
Towards Large Certified Radius in Randomized Smoothing using Quasiconcave Optimization Bo-Han Kung Shang-Tse Chen AAML 52 1 0 01 Feb 2023
Confidence-aware Training of Smoothed Classifiers for Certified Robustness Jongheon Jeong Seojin Kim Jinwoo Shin AAML 76 7 0 18 Dec 2022
Towards Robust Dataset Learning Yihan Wu Xinda Li Florian Kerschbaum Heng Huang Hongyang R. Zhang DD OOD 85 10 0 19 Nov 2022
Data Models for Dataset Drift Controls in Machine Learning With Optical Images Luis Oala Marco Aversa Gabriel Nobis Kurt Willis Yoan Neuenschwander ... E. Pomarico Wojciech Samek Roderick Murray-Smith Christoph Clausen B. Sanguinetti 89 6 0 04 Nov 2022