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Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers

Neural Information Processing Systems (NeurIPS), 2019

9 June 2019

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Papers citing "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"

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Title
Dual Randomized Smoothing: Beyond Global Noise Variance Chenhao Sun Yuhao Mao Martin Vechev AAML 184 0 0 01 Dec 2025
Towards Strong Certified Defense with Universal Asymmetric Randomization Hanbin Hong Ashish Kundu Ali Payani Binghui Wang Yuan Hong AAML 108 0 0 22 Oct 2025
When Flatness Does (Not) Guarantee Adversarial Robustness Nils Philipp Walter Linara Adilova Jilles Vreeken Michael Kamp 100 1 0 16 Oct 2025
Tight Robustness Certificates and Wasserstein Distributional Attacks for Deep Neural Networks Bach C. Le Tung V. Dao Binh T. Nguyen Hong T.M. Chu OOD 153 0 0 11 Oct 2025
A geometrical approach to solve the proximity of a point to an axisymmetric quadric in space Bibekananda Patra Aditya Mahesh Kolte Sandipan Bandyopadhyay 107 11 0 10 Oct 2025
Reconcile Certified Robustness and Accuracy for DNN-based Smoothed Majority Vote Classifier Gaojie Jin Xinping Yi Xiaowei Huang AAML 105 1 0 30 Sep 2025
DRIFT: Divergent Response in Filtered Transformations for Robust Adversarial Defense Amira Guesmi Muhammad Shafique AAML 85 0 0 29 Sep 2025
Randomized Smoothing Meets Vision-Language Models Emmanouil Seferis Changshun Wu Stefanos D. Kollias Saddek Bensalem Chih-Hong Cheng AAML 96 0 0 19 Sep 2025
Sy-FAR: Symmetry-based Fair Adversarial Robustness Haneen Najjar Eyal Ronen Mahmood Sharif AAML 151 0 0 16 Sep 2025
Robustifying Diffusion-Denoised Smoothing Against Covariate Shift Ali Hedayatnia Mostafa Tavassolipour Babak N. Araabi A. Vahabie DiffM 89 0 0 13 Sep 2025
Get Global Guarantees: On the Probabilistic Nature of Perturbation Robustness Wenchuan Mu Kwan Hui Lim AAML 85 2 0 26 Aug 2025
$The Cost of Compression: Tight Quadratic Black-Box Attacks on Sketches for $\ell_2$ Norm Estimation$ The Cost of Compression: Tight Quadratic Black-Box Attacks on Sketches for $\ell_2$ Norm Estimation Sara Ahmadian E. Cohen Uri Stemmer 77 1 0 22 Jul 2025
One Sample is Enough to Make Conformal Prediction Robust Soroush H. Zargarbashi Mohammad Sadegh Akhondzadeh Aleksandar Bojchevski 151 3 0 19 Jun 2025
Position: Certified Robustness Does Not (Yet) Imply Model Security Andrew C. Cullen Paul Montague S. Erfani Benjamin I. P. Rubinstein 207 0 0 16 Jun 2025
Efficient Robust Conformal Prediction via Lipschitz-Bounded Networks Thomas Massena Léo Andéol Thibaut Boissin Franck Mamalet Corentin Friedrich M. Serrurier Sébastien Gerchinovitz AAML 275 5 0 05 Jun 2025
Towards Better Generalization via Distributional Input Projection Network Yifan Hao Yanxin Lu Xinwei Shen Tong Zhang Tong Zhang 230 0 0 05 Jun 2025
Multi-level Certified Defense Against Poisoning Attacks in Offline Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2025 Shijie Liu Andrew C. Cullen Paul Montague S. Erfani Benjamin I. P. Rubinstein OffRL AAML 205 3 0 27 May 2025
Provably Robust Training of Quantum Circuit Classifiers Against Parameter Noise Lucas Tecot Di Luo Cho-Jui Hsieh 192 0 0 24 May 2025
Unveiling the Basin-Like Loss Landscape in Large Language Models Huanran Chen Yinpeng Dong Zeming Wei Yao Huang Yichi Zhang Hang Su Jun Zhu MoMe 361 5 0 23 May 2025
On the Importance of Gaussianizing Representations Daniel Eftekhari Vardan Papyan 245 3 0 01 May 2025
Beyond Worst-Case Online Classification: VC-Based Regret Bounds for Relaxed BenchmarksAnnual Conference Computational Learning Theory (COLT), 2025 Omar Montasser Abhishek Shetty Nikita Zhivotovskiy 247 1 0 14 Apr 2025
Bridging the Theoretical Gap in Randomized SmoothingInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2025 Blaise Delattre Paul Caillon Quentin Barthélemy Erwan Fagnou Alexandre Allauzen AAML 355 0 0 03 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 284 0 0 29 Mar 2025
Stop Walking in Circles! Bailing Out Early in Projected Gradient DescentComputer Vision and Pattern Recognition (CVPR), 2025 Philip Doldo Derek Everett Amol Khanna A. Nguyen Edward Raff AAML 239 1 0 25 Mar 2025
Principal Eigenvalue Regularization for Improved Worst-Class Certified Robustness of Smoothed Classifiers Gaojie Jin Tianjin Huang Ronghui Mu Xiaowei Huang AAML 240 0 0 21 Mar 2025
AMUN: Adversarial Machine UNlearning A. Boroojeny Hari Sundaram Varun Chandrasekaran MU AAML 295 2 0 02 Mar 2025
Smoothed Embeddings for Robust Language Models Ryo Hase Md Rafi Ur Rashid Ashley Lewis Jing Liu T. Koike-Akino K. Parsons Yanjie Wang AAML 286 3 0 27 Jan 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 333 1 0 22 Jan 2025
RED: Robust Environmental Design Jinghan Yan AAML 199 0 0 26 Nov 2024
Certified Robustness for Deep Equilibrium Models via Serialized Random SmoothingNeural Information Processing Systems (NeurIPS), 2024 Weizhi Gao Zhichao Hou Han Xu Xiaorui Liu AAML 217 0 0 01 Nov 2024
Active Fourier Auditor for Estimating Distributional Properties of ML ModelsAAAI Conference on Artificial Intelligence (AAAI), 2024 Ayoub Ajarra Bishwamittra Ghosh Debabrota Basu MLAU 291 2 0 10 Oct 2024
Average Certified Radius is a Poor Metric for Randomized Smoothing Chenhao Sun Yuhao Mao Mark Niklas Muller Martin Vechev AAML 437 2 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 160 5 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 435 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 124 0 0 23 Aug 2024
Adversarial Robustification via Text-to-Image Diffusion Models Daewon Choi Jongheon Jeong Huiwon Jang Jinwoo Shin DiffM 304 2 0 26 Jul 2024
SPLITZ: Certifiable Robustness via Split Lipschitz Randomized Smoothing Meiyu Zhong Ravi Tandon 349 6 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 173 2 0 30 Jun 2024
Breaking the Barrier: Enhanced Utility and Robustness in Smoothed DRL Agents Chung-En Sun Sicun Gao Tsui-Wei Weng AAML 151 6 0 26 Jun 2024
Treatment of Statistical Estimation Problems in Randomized Smoothing for Adversarial Robustness Vaclav Voracek AAML 286 4 0 25 Jun 2024
Adaptive Randomized Smoothing: Certified Adversarial Robustness for Multi-Step DefencesNeural Information Processing Systems (NeurIPS), 2024 Saiyue Lyu Shadab Shaikh Frederick Shpilevskiy Evan Shelhamer Mathias Lécuyer AAML 338 0 0 14 Jun 2024
Feature contamination: Neural networks learn uncorrelated features and fail to generalize Tianren Zhang Chujie Zhao Guanyu Chen Yizhou Jiang Feng Chen OOD MLT OODD 380 9 0 05 Jun 2024
Distributional Adversarial Loss Saba Ahmadi Siddharth Bhandari Avrim Blum Chen Dan Prabhav Jain 201 0 0 05 Jun 2024
Effects of Exponential Gaussian Distribution on (Double Sampling) Randomized Smoothing Youwei Shu Xi Xiao Derui Wang Yuxin Cao Siji Chen Jason Xue Linyi Li Yue Liu 290 2 0 04 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 231 0 0 04 Jun 2024
Verifiably Robust Conformal Prediction Linus Jeary Tom Kuipers Mehran Hosseini Nicola Paoletti AAML 265 9 0 29 May 2024
The Uncanny Valley: Exploring Adversarial Robustness from a Flatness Perspective Nils Philipp Walter Linara Adilova Jilles Vreeken Michael Kamp AAML 225 2 0 27 May 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 148 1 0 25 May 2024
Universal Robustness via Median Randomized Smoothing for Real-World Super-Resolution Zakariya Chaouai Mohamed Tamaazousti AAML 139 3 0 23 May 2024
Towards Certification of Uncertainty Calibration under Adversarial Attacks Cornelius Emde Francesco Pinto Thomas Lukasiewicz Juil Sock Adel Bibi AAML 478 2 0 22 May 2024