% Key papers for Randomized smoothing certification (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages. @inproceedings{icml2019_certified_37213, title = {{Certified Adversarial Robustness via Randomized Smoothing}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2019}, url = {https://icml.cc/virtual/2019/poster/3907}, } @inproceedings{neurips2019_provably_58853, title = {{Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2019}, url = {https://nips.cc/virtual/2019/poster/14597}, } @inproceedings{aaai2020_robustness_102026, title = {{Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2020}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/5888}, } @inproceedings{icml2020_randomized_38674, title = {{Randomized Smoothing of All Shapes and Sizes}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2020}, url = {https://icml.cc/virtual/2020/poster/6327}, } @inproceedings{iclr2020_macer_29800, title = {{MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2020}, url = {https://openreview.net/forum?id=rJx1Na4Fwr}, } @inproceedings{neurips2019_tight_59090, title = {{Tight Certificates of Adversarial Robustness for Randomly Smoothed Classifiers}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2019}, url = {https://nips.cc/virtual/2019/poster/13637}, } @inproceedings{icml2020_certified_38009, title = {{Certified Robustness to Label-Flipping Attacks via Randomized Smoothing}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2020}, url = {https://icml.cc/virtual/2020/poster/6172}, } @inproceedings{cvpr2021_how_17133, title = {{How Robust Are Randomized Smoothing Based Defenses to Data Poisoning?}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2021}, } @inproceedings{iclr2020_a_29641, title = {{A FRAMEWORK FOR ROBUSTNESS CERTIFICATION OF SMOOTHED CLASSIFIERS USING F-DIVERGENCES}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2020}, url = {https://openreview.net/forum?id=SJlKrkSFPH}, } @inproceedings{neurips2020_black_59471, title = {{Black-Box Certification with Randomized Smoothing: A Functional Optimization Based Framework}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2020}, url = {https://nips.cc/virtual/2020/poster/16976}, } @inproceedings{neurips2020_consistency_59573, title = {{Consistency Regularization for Certified Robustness of Smoothed Classifiers}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2020}, url = {https://nips.cc/virtual/2020/poster/18269}, } @inproceedings{aaai2022_input_2253, title = {{Input-Specific Robustness Certification for Randomized Smoothing}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2022}, url = {https://aaai.org/papers/06295-input-specific-robustness-certification-for-randomized-smoothing/}, } @inproceedings{neurips2021_smoothmix_63136, title = {{SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2021}, url = {https://nips.cc/virtual/2021/poster/27223}, } @inproceedings{aaai2020_regularized_101938, title = {{Regularized Training and Tight Certification for Randomized Smoothed Classifier with Provable Robustness}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2020}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/5798}, } @inproceedings{icml2021_improved_39453, title = {{Improved, Deterministic Smoothing for L\_1 Certified Robustness}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2021}, url = {https://icml.cc/virtual/2021/poster/9445}, } @inproceedings{iclr2022_boosting_31641, title = {{Boosting Randomized Smoothing with Variance Reduced Classifiers}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2022}, url = {https://iclr.cc/virtual/2022/poster/6327}, } @inproceedings{neurips2020_higher_60014, title = {{Higher-Order Certification For Randomized Smoothing}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2020}, url = {https://nips.cc/virtual/2020/poster/17166}, } @inproceedings{aaai2024_drf_5576, title = {{DRF: Improving Certified Robustness via Distributional Robustness Framework}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/29504}, } @inproceedings{cvpr2024_universal_25144, title = {{Universal Robustness via Median Randomized Smoothing for Real-World Super-Resolution}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/30242}, } @inproceedings{neurips2020_certified_59522, title = {{Certified Defense to Image Transformations via Randomized Smoothing}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2020}, url = {https://nips.cc/virtual/2020/poster/19059}, } @inproceedings{iclr2024_incremental_34478, title = {{Incremental Randomized Smoothing Certification}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2024}, url = {https://iclr.cc/virtual/2024/poster/18596}, } @inproceedings{neurips2024_treatment_74134, title = {{Treatment of Statistical Estimation Problems in Randomized Smoothing for Adversarial Robustness}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/93404}, } @inproceedings{neurips2024_certified_73512, title = {{Certified Adversarial Robustness via Randomized \$alpha\$-Smoothing for Regression Models}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/93964}, } @inproceedings{iclr2024_mitigating_33885, title = {{Mitigating the Curse of Dimensionality for Certified Robustness via Dual Randomized Smoothing}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2024}, url = {https://iclr.cc/virtual/2024/poster/19190}, } @inproceedings{iclr2024_the_33886, title = {{The Lipschitz-Variance-Margin Tradeoff for Enhanced Randomized Smoothing}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2024}, url = {https://iclr.cc/virtual/2024/poster/19189}, } @inproceedings{icml2024_effects_44042, title = {{Effects of Exponential Gaussian Distribution on (Double Sampling) Randomized Smoothing}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2024}, url = {https://icml.cc/virtual/2024/poster/34410}, } @inproceedings{icml2025_pixel_47102, title = {{Pixel-level Certified Explanations via Randomized Smoothing}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2025}, url = {https://icml.cc/virtual/2025/poster/45484}, } @inproceedings{icml2025_average_47374, title = {{Average Certified Radius is a Poor Metric for Randomized Smoothing}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2025}, url = {https://icml.cc/virtual/2025/poster/45218}, } @inproceedings{icml2026_higher_54945, title = {{Higher-Order Certified Robustness for Regression}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2026}, url = {https://openreview.net/forum?id=u96qokgpPR}, } @inproceedings{neurips2024_adaptive_71760, title = {{Adaptive Randomized Smoothing: Certified Adversarial Robustness for Multi-Step Defences}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/95529}, } @inproceedings{neurips2025_adaptdel_80199, title = {{AdaptDel: Adaptable Deletion Rate Randomized Smoothing for Certified Robustness}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2025}, url = {https://openreview.net/forum?id=xAKOn2IfsP}, } @inproceedings{iclr2025_robust_82654, title = {{Robust Representation Consistency Model via Contrastive Denoising}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2025}, url = {https://iclr.cc/virtual/2025/poster/29144}, } @inproceedings{iclr2026_dual_88950, title = {{Dual Randomized Smoothing: Beyond Global Noise Variance}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2026}, url = {https://openreview.net/forum?id=syvfsHSqm2}, } @inproceedings{neurips2026_clustered_92930, title = {{Clustered Randomized Smoothing for Stochastic Prediction Functions}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2026}, url = {https://neurips.cc/virtual/2026/poster/153010}, } @inproceedings{neurips2026_halt_95501, title = {{Halt Fast! Early Stopping for Certified Robustness}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2026}, url = {https://neurips.cc/virtual/2026/poster/155955}, } @inproceedings{neurips2026_multi_91460, title = {{Multi-Constrained Randomized Smoothing Certificates}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2026}, url = {https://neurips.cc/virtual/2026/poster/149199}, } @inproceedings{neurips2026_should_92125, title = {{Should We Pay This Much for Robustness? Efficient Proxy Certificates with Marginal Guarantees}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2026}, url = {https://neurips.cc/virtual/2026/poster/153528}, }