Title
Towards Strong Certified Defense with Universal Asymmetric Randomization Hanbin Hong Ashish Kundu Ali Payani Binghui Wang Yuan Hong AAML 24 0 0 22 Oct 2025
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
Robustifying Diffusion-Denoised Smoothing Against Covariate Shift Ali Hedayatnia Mostafa Tavassolipour Babak N. Araabi A. Vahabie DiffM 61 0 0 13 Sep 2025
Cert-SSB: Toward Certified Sample-Specific Backdoor Defense Ting Qiao Longji Xu Xing Liu Sixing Wu Jianbing Li Yiming Li AAML SILM 263 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 219 0 0 29 Mar 2025
Robust Representation Consistency Model via Contrastive DenoisingInternational Conference on Learning Representations (ICLR), 2025 Jiachen Lei Julius Berner Jiongxiao Wang Zhongzhu Chen Zhongjia Ba Kui Ren Jun Zhu Julius Berner DiffM 285 1 0 22 Jan 2025
Learning Robust and Privacy-Preserving Representations via Information TheoryAAAI Conference on Artificial Intelligence (AAAI), 2024 Binghui Zhang Sayedeh Leila Noorbakhsh Yun Dong Yuan Hong Binghui Wang 244 1 0 15 Dec 2024
Average Certified Radius is a Poor Metric for Randomized Smoothing Chenhao Sun Yuhao Mao Mark Niklas Muller Martin Vechev AAML 294 1 0 09 Oct 2024
Filtered Randomized Smoothing: A New Defense for Robust Modulation ClassificationIEEE Military Communications Conference (MILCOM), 2024 Wenhan Zhang Meiyu Zhong Ravi Tandon Marwan Krunz AAML 124 4 0 08 Oct 2024
Certified Causal Defense with Generalizable RobustnessAAAI Conference on Artificial Intelligence (AAAI), 2024 Yiran Qiao Yu Yin Chen Chen Jing Ma AAML OOD CML 279 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 80 0 0 23 Aug 2024
RSC-SNN: Exploring the Trade-off Between Adversarial Robustness and Accuracy in Spiking Neural Networks via Randomized Smoothing CodingACM Multimedia (MM), 2024 Keming Wu Man Yao Yuhong Chou Xuerui Qiu Rui Yang Boxing Xu Guoqi Li AAML 131 8 0 29 Jul 2024
Adversarial Robustification via Text-to-Image Diffusion Models Daewon Choi Jongheon Jeong Huiwon Jang Jinwoo Shin DiffM 188 2 0 26 Jul 2024
BadCLM: Backdoor Attack in Clinical Language Models for Electronic Health Records Weimin Lyu Zexin Bi Fusheng Wang Chao Chen 148 9 0 06 Jul 2024
SPLITZ: Certifiable Robustness via Split Lipschitz Randomized Smoothing Meiyu Zhong Ravi Tandon 277 5 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 137 2 0 30 Jun 2024
Distributional Adversarial Loss Saba Ahmadi Siddharth Bhandari Avrim Blum Chen Dan Prabhav Jain 153 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 143 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 112 1 0 25 May 2024
Towards Certification of Uncertainty Calibration under Adversarial Attacks Cornelius Emde Francesco Pinto Thomas Lukasiewicz Juil Sock Adel Bibi AAML 293 2 0 22 May 2024
Provably Robust Conformal Prediction with Improved Efficiency Ge Yan Yaniv Romano Tsui-Wei Weng 374 21 0 30 Apr 2024
Mitigating the Curse of Dimensionality for Certified Robustness via Dual Randomized Smoothing Song Xia Yu Yi Xudong Jiang Henghui Ding 309 10 0 15 Apr 2024
Certified PEFTSmoothing: Parameter-Efficient Fine-Tuning with Randomized Smoothing Chengyan Fu Wenjie Wang AAML 153 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 240 28 0 14 Mar 2024
Accelerated Smoothing: A Scalable Approach to Randomized Smoothing Devansh Bhardwaj Kshitiz Kaushik Sarthak Gupta AAML 221 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 238 23 0 04 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
Exploring Transferability for Randomized Smoothing Kai Qiu Huishuai Zhang Zhirong Wu Stephen Lin AAML 96 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 NetworksAAAI Conference on Artificial Intelligence (AAAI), 2023 Buqing Nie Jingtian Ji Yangqing Fu Yue Gao 140 6 0 14 Dec 2023
Node-aware Bi-smoothing: Certified Robustness against Graph Injection Attacks Y. Lai Yulin Zhu Bailin Pan Wei Song AAML 143 11 0 07 Dec 2023
Adversarial defense based on distribution transfer Jiahao Chen Diqun Yan Li Dong 116 0 0 23 Nov 2023
Fast Certification of Vision-Language Models Using Incremental Randomized Smoothing Ashutosh Nirala Ameya Joshi Chinmay Hegde S Sarkar VLM 172 0 0 15 Nov 2023
Multi-scale Diffusion Denoised SmoothingNeural Information Processing Systems (NeurIPS), 2023 Jongheon Jeong Jinwoo Shin DiffM 193 10 0 25 Oct 2023
Provably Cost-Sensitive Adversarial Defense via Randomized Smoothing Yuan Xin Dingfan Chen Michael Backes Xiao Zhang AAML 138 0 0 12 Oct 2023
Promoting Robustness of Randomized Smoothing: Two Cost-Effective ApproachesIndustrial Conference on Data Mining (IDM), 2023 Linbo Liu T. Hoang Lam M. Nguyen Tsui-Wei Weng AAML 86 0 0 11 Oct 2023
A Recipe for Improved Certifiable Robustness Kai Hu Klas Leino Zifan Wang Matt Fredrikson AAML 232 7 0 04 Oct 2023
Projected Randomized Smoothing for Certified Adversarial Robustness Samuel Pfrommer Brendon G. Anderson Somayeh Sojoudi AAML 133 17 0 25 Sep 2023
It's Simplex! Disaggregating Measures to Improve Certified RobustnessIEEE Symposium on Security and Privacy (IEEE S&P), 2023 Andrew C. Cullen Paul Montague Shijie Liu S. Erfani Benjamin I. P. Rubinstein 150 4 0 20 Sep 2023
DiffSmooth: Certifiably Robust Learning via Diffusion Models and Local SmoothingUSENIX Security Symposium (USENIX Security), 2023 Jiawei Zhang Zhongzhu Chen Huan Zhang Chaowei Xiao Yue Liu DiffM 132 30 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 98 8 0 21 Jul 2023
[Re] Double Sampling Randomized Smoothing A. Gupta Sarthak Gupta Abhay Kumar Harsh Dugar AAML 96 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 163 3 0 14 Jun 2023
Understanding Noise-Augmented Training for Randomized Smoothing Ambar Pal Jeremias Sulam AAML 149 7 0 08 May 2023
Certified Adversarial Robustness Within Multiple Perturbation Bounds Soumalya Nandi Sravanti Addepalli Harsh Rangwani R. Venkatesh Babu AAML 124 3 0 20 Apr 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
Turning Strengths into Weaknesses: A Certified Robustness Inspired Attack Framework against Graph Neural NetworksComputer Vision and Pattern Recognition (CVPR), 2023 Binghui Wang Meng Pang Yun Dong AAML 108 17 0 10 Mar 2023
Et Tu Certifications: Robustness Certificates Yield Better Adversarial ExamplesInternational Conference on Machine Learning (ICML), 2023 Andrew C. Cullen Shijie Liu Paul Montague S. Erfani Benjamin I. P. Rubinstein AAML 158 3 0 09 Feb 2023
Interpolation for Robust Learning: Data Augmentation on Wasserstein GeodesicsInternational Conference on Machine Learning (ICML), 2023 Jiacheng Zhu Jielin Qiu Aritra Guha Zhuolin Yang X. Nguyen Yue Liu Ding Zhao OOD 268 4 0 04 Feb 2023
Asymmetric Certified Robustness via Feature-Convex Neural NetworksNeural Information Processing Systems (NeurIPS), 2023 Samuel Pfrommer Brendon G. Anderson Julien Piet Somayeh Sojoudi AAML 165 9 0 03 Feb 2023
Towards Large Certified Radius in Randomized Smoothing using Quasiconcave OptimizationAAAI Conference on Artificial Intelligence (AAAI), 2023 Bo-Han Kung Shang-Tse Chen AAML 122 1 0 01 Feb 2023