Title
Confidence-aware Training of Smoothed Classifiers for Certified RobustnessAAAI Conference on Artificial Intelligence (AAAI), 2022 Jongheon Jeong Seojin Kim Jinwoo Shin AAML 227 9 0 18 Dec 2022
Multi-head Ensemble of Smoothed Classifiers for Certified RobustnessNeural Networks (NN), 2022 Kun Fang Qinghua Tao Yingwen Wu Tao Li Xiaolin Huang Jie Yang AAML 78 4 0 20 Nov 2022
Towards Robust Dataset Learning Yihan Wu Xinda Li Florian Kerschbaum Heng Huang Hongyang R. Zhang DD OOD 109 11 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 211 6 0 04 Nov 2022
DensePure: Understanding Diffusion Models towards Adversarial Robustness Chaowei Xiao Zhongzhu Chen Kun Jin Zhenghao Hu Weili Nie Mingyan D. Liu Anima Anandkumar Yue Liu Basel Alomair DiffM 209 46 0 01 Nov 2022
Accelerating Certified Robustness Training via Knowledge TransferNeural Information Processing Systems (NeurIPS), 2022 Pratik Vaishnavi Kevin Eykholt Amir Rahmati 120 8 0 25 Oct 2022
Ares: A System-Oriented Wargame Framework for Adversarial ML Farhan Ahmed Pratik Vaishnavi Kevin Eykholt Amir Rahmati AAML 117 8 0 24 Oct 2022
Double Bubble, Toil and Trouble: Enhancing Certified Robustness through TransitivityNeural Information Processing Systems (NeurIPS), 2022 Andrew C. Cullen Paul Montague Shijie Liu S. Erfani Benjamin I. P. Rubinstein AAML 124 16 0 12 Oct 2022
Denoising Masked AutoEncoders Help Robust ClassificationInternational Conference on Learning Representations (ICLR), 2022 Quanlin Wu Hang Ye Yuntian Gu Huishuai Zhang Liwei Wang Di He 234 24 0 10 Oct 2022
Robustness of Unsupervised Representation Learning without Labels Aleksandar Petrov Marta Z. Kwiatkowska OffRL 130 2 0 08 Oct 2022
Rethinking Lipschitz Neural Networks and Certified Robustness: A Boolean Function PerspectiveNeural Information Processing Systems (NeurIPS), 2022 Bohang Zhang Du Jiang Di He Liwei Wang OOD 251 67 0 04 Oct 2022
Generalizability of Adversarial Robustness Under Distribution Shifts Kumail Alhamoud Hasan Hammoud Motasem Alfarra Guohao Li OOD 240 11 0 29 Sep 2022
CARE: Certifiably Robust Learning with Reasoning via Variational Inference Jiawei Zhang Linyi Li Ce Zhang Yue Liu AAML OOD 267 11 0 12 Sep 2022
An Overview and Prospective Outlook on Robust Training and Certification of Machine Learning Models Brendon G. Anderson Tanmay Gautam Somayeh Sojoudi OOD 160 2 0 15 Aug 2022
On Certifying and Improving Generalization to Unseen Domains Akshay Mehra B. Kailkhura Pin-Yu Chen Jihun Hamm OOD 158 5 0 24 Jun 2022
Input-agnostic Certified Group Fairness via Gaussian Parameter SmoothingInternational Conference on Machine Learning (ICML), 2022 Jiayin Jin Zeru Zhang Yang Zhou Lingfei Wu 140 15 0 22 Jun 2022
(Certified!!) Adversarial Robustness for Free!International Conference on Learning Representations (ICLR), 2022 Nicholas Carlini Florian Tramèr Krishnamurthy Dvijotham Leslie Rice Mingjie Sun J. Zico Kolter DiffM 253 165 0 21 Jun 2022
Double Sampling Randomized SmoothingInternational Conference on Machine Learning (ICML), 2022 Linyi Li Jiawei Zhang Tao Xie Yue Liu AAML 250 26 0 16 Jun 2022
Certified Robustness in Federated Learning Motasem Alfarra Juan C. Pérez Egor Shulgin Peter Richtárik Guohao Li AAML FedML 148 9 0 06 Jun 2022
Towards Evading the Limits of Randomized Smoothing: A Theoretical Analysis Raphael Ettedgui Alexandre Araujo Rafael Pinot Y. Chevaleyre Jamal Atif AAML 106 3 0 03 Jun 2022
(De-)Randomized Smoothing for Decision Stump EnsemblesNeural Information Processing Systems (NeurIPS), 2022 Miklós Z. Horváth Mark Niklas Muller Marc Fischer Martin Vechev 151 4 0 27 May 2022
Certified Robustness Against Natural Language Attacks by Causal InterventionInternational Conference on Machine Learning (ICML), 2022 Haiteng Zhao Chang Ma Xinshuai Dong Anh Tuan Luu Zhi-Hong Deng Hanwang Zhang AAML 194 38 0 24 May 2022
Smooth-Reduce: Leveraging Patches for Improved Certified Robustness Ameya Joshi Minh Pham Minsu Cho Leonid Boytsov Filipe Condessa J. Zico Kolter Chinmay Hegde UQCV AAML 125 2 0 12 May 2022
3DeformRS: Certifying Spatial Deformations on Point CloudsComputer Vision and Pattern Recognition (CVPR), 2022 S. GabrielPérez Juan C. Pérez Motasem Alfarra Silvio Giancola Guohao Li 3DPC 143 14 0 12 Apr 2022
Robust and Accurate -- Compositional Architectures for Randomized Smoothing Miklós Z. Horváth Mark Niklas Muller Marc Fischer Martin Vechev UQCV AAML 129 14 0 01 Apr 2022
A Survey of Adversarial Defences and Robustness in NLP Shreyansh Goyal Sumanth Doddapaneni Mitesh M.Khapra B. Ravindran AAML 242 34 0 12 Mar 2022
Learning Physics-Informed Neural Networks without Stacked Back-propagationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Di He Shanda Li Wen-Wu Shi Xiaotian Gao Jia Zhang Jiang Bian Liwei Wang Tie-Yan Liu DiffM PINN AI4CE 143 31 0 18 Feb 2022
Towards Assessing and Characterizing the Semantic Robustness of Face Recognition Juan C. Pérez Motasem Alfarra Ali K. Thabet Pablo Arbelaez Guohao Li AAML 165 2 0 10 Feb 2022
Improving the Behaviour of Vision Transformers with Token-consistent Stochastic LayersSocial Science Research Network (SSRN), 2021 Nikola Popovic D. Paudel Thomas Probst Luc Van Gool 169 1 0 30 Dec 2021
Input-Specific Robustness Certification for Randomized SmoothingAAAI Conference on Artificial Intelligence (AAAI), 2021 Ruoxin Chen Jie Li Junchi Yan Ping Li Bin Sheng AAML 188 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 109 23 0 01 Dec 2021
SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness Jongheon Jeong Sejun Park Minkyu Kim Heung-Chang Lee Do-Guk Kim Jinwoo Shin AAML 132 63 0 17 Nov 2021
Boosting the Certified Robustness of L-infinity Distance Nets Bohang Zhang Du Jiang Di He Liwei Wang OOD 205 33 0 13 Oct 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 129 20 0 22 Sep 2021
Certified Defense via Latent Space Randomized Smoothing with Orthogonal Encoders Huimin Zeng Jiahao Su Furong Huang AAML 85 4 0 01 Aug 2021
Advances in adversarial attacks and defenses in computer vision: A survey Naveed Akhtar Lin Wang Navid Kardan M. Shah AAML 382 284 0 01 Aug 2021
Enhancing Adversarial Robustness via Test-time Transformation Ensembling Juan C. Pérez Motasem Alfarra Guillaume Jeanneret Laura Rueda Ali K. Thabet Guohao Li Pablo Arbelaez 103 32 0 29 Jul 2021
On the Certified Robustness for Ensemble Models and BeyondInternational Conference on Learning Representations (ICLR), 2021 Zhuolin Yang Linyi Li Xiaojun Xu B. Kailkhura Tao Xie Yue Liu AAML 154 54 0 22 Jul 2021
ANCER: Anisotropic Certification via Sample-wise Volume Maximization Francisco Eiras Motasem Alfarra M. P. Kumar Juil Sock P. Dokania Guohao Li Adel Bibi 150 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 142 46 0 01 Jul 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 215 54 0 13 Jun 2021
Knowledge Enhanced Machine Learning Pipeline against Diverse Adversarial AttacksInternational Conference on Machine Learning (ICML), 2021 Nezihe Merve Gürel Xiangyu Qi Luka Rimanic Ce Zhang Yue Liu AAML 101 46 0 11 Jun 2021
Simpler Certified Radius Maximization by Propagating CovariancesComputer Vision and Pattern Recognition (CVPR), 2021 Xingjian Zhen Rudrasis Chakraborty Vikas Singh AAML 58 5 0 13 Apr 2021
Lagrangian Objective Function Leads to Improved Unforeseen Attack Generalization in Adversarial TrainingMachine-mediated learning (ML), 2021 Mohammad Azizmalayeri M. Rohban OOD 132 5 0 29 Mar 2021
Improved, Deterministic Smoothing for L_1 Certified RobustnessInternational Conference on Machine Learning (ICML), 2021 Alexander Levine Soheil Feizi AAML 171 47 0 17 Mar 2021
Insta-RS: Instance-wise Randomized Smoothing for Improved Robustness and Accuracy Chong Chen Kezhi Kong Peihong Yu J. Luque Tom Goldstein Furong Huang AAML 137 8 0 07 Mar 2021
Globally-Robust Neural NetworksInternational Conference on Machine Learning (ICML), 2021 Klas Leino Zifan Wang Matt Fredrikson AAML OOD 220 142 0 16 Feb 2021
Towards Bridging the gap between Empirical and Certified Robustness against Adversarial Examples Jay Nandy Sudipan Saha Wynne Hsu Yang Deng Xiaosu Zhu AAML 177 4 0 09 Feb 2021
Robusta: Robust AutoML for Feature Selection via Reinforcement Learning Hadjer Benkraouda Yue Liu Yibo Jacky Zhang B. Kailkhura Klara Nahrstedt 47 3 0 15 Jan 2021