Certifying Confidence via Randomized Smoothing

17 September 2020

Papers citing "Certifying Confidence via Randomized Smoothing"

29 / 29 papers shown

Title
Principal Eigenvalue Regularization for Improved Worst-Class Certified Robustness of Smoothed Classifiers Gaojie Jin Tianjin Huang Ronghui Mu Xiaowei Huang AAML 42 0 0 21 Mar 2025
Robust Conformal Prediction with a Single Binary Certificate Soroush H. Zargarbashi Aleksandar Bojchevski 34 0 0 07 Mar 2025
A Probabilistic Perspective on Unlearning and Alignment for Large Language Models Yan Scholten Stephan Günnemann Leo Schwinn MU 55 6 0 04 Oct 2024
Discrete Randomized Smoothing Meets Quantum Computing Md. Nazmus Sakib Aman Saxena Nicola Franco Md Mashrur Arifin Stephan Günnemann AAML 27 1 0 01 Aug 2024
Towards Certification of Uncertainty Calibration under Adversarial Attacks Cornelius Emde Francesco Pinto Thomas Lukasiewicz Philip H. S. Torr Adel Bibi AAML 33 0 0 22 May 2024
COMMIT: Certifying Robustness of Multi-Sensor Fusion Systems against Semantic Attacks Zijian Huang Wenda Chu Linyi Li Chejian Xu Bo-wen Li AAML 22 0 0 04 Mar 2024
Calibration Attacks: A Comprehensive Study of Adversarial Attacks on Model Confidence Stephen Obadinma Xiaodan Zhu Hongyu Guo AAML 14 1 0 05 Jan 2024
Trust, But Verify: A Survey of Randomized Smoothing Techniques Anupriya Kumari Devansh Bhardwaj Sukrit Jindal Sarthak Gupta AAML 27 4 0 19 Dec 2023
Reward Certification for Policy Smoothed Reinforcement Learning Ronghui Mu Leandro Soriano Marcolino Tianle Zhang Yanghao Zhang Xiaowei Huang Wenjie Ruan 15 4 0 11 Dec 2023
Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization Mahyar Fazlyab Taha Entesari Aniket Roy Ramalingam Chellappa AAML 11 11 0 29 Sep 2023
Characterizing Data Point Vulnerability via Average-Case Robustness Tessa Han Suraj Srinivas Himabindu Lakkaraju AAML OOD 24 0 0 26 Jul 2023
Incremental Randomized Smoothing Certification Shubham Ugare Tarun Suresh Debangshu Banerjee Gagandeep Singh Sasa Misailovic AAML 13 8 0 31 May 2023
CUDA: Convolution-based Unlearnable Datasets Vinu Sankar Sadasivan Mahdi Soltanolkotabi S. Feizi MU 24 23 0 07 Mar 2023
Confidence-aware Training of Smoothed Classifiers for Certified Robustness Jongheon Jeong Seojin Kim Jinwoo Shin AAML 16 7 0 18 Dec 2022
Robust Perception through Equivariance Chengzhi Mao Lingyu Zhang Abhishek Joshi Junfeng Yang Hongya Wang Carl Vondrick BDL AAML 11 7 0 12 Dec 2022
Improved techniques for deterministic l2 robustness Sahil Singla S. Feizi AAML 18 9 0 15 Nov 2022
Localized Randomized Smoothing for Collective Robustness Certification Jan Schuchardt Thomas Wollschläger Aleksandar Bojchevski Stephan Günnemann AAML 48 9 0 28 Oct 2022
RUSH: Robust Contrastive Learning via Randomized Smoothing Yijiang Pang Boyang Liu Jiayu Zhou OOD AAML 13 1 0 11 Jul 2022
Double Sampling Randomized Smoothing Linyi Li Jiawei Zhang Tao Xie Bo-wen Li AAML 6 23 0 16 Jun 2022
Robust Natural Language Processing: Recent Advances, Challenges, and Future Directions Marwan Omar Soohyeon Choi Daehun Nyang David A. Mohaisen 16 57 0 03 Jan 2022
Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100 Sahil Singla Surbhi Singla S. Feizi AAML 30 54 0 05 Aug 2021
On the Certified Robustness for Ensemble Models and Beyond Zhuolin Yang Linyi Li Xiaojun Xu B. Kailkhura Tao Xie Bo-wen Li AAML 11 47 0 22 Jul 2021
Policy Smoothing for Provably Robust Reinforcement Learning Aounon Kumar Alexander Levine S. Feizi AAML 10 54 0 21 Jun 2021
CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing Fan Wu Linyi Li Zijian Huang Yevgeniy Vorobeychik Ding Zhao Bo-wen Li AAML OffRL 11 58 0 17 Jun 2021
Boosting Randomized Smoothing with Variance Reduced Classifiers Miklós Z. Horváth Mark Niklas Muller Marc Fischer Martin Vechev AAML UQCV 11 48 0 13 Jun 2021
Relating Adversarially Robust Generalization to Flat Minima David Stutz Matthias Hein Bernt Schiele OOD 19 65 0 09 Apr 2021
Center Smoothing: Certified Robustness for Networks with Structured Outputs Aounon Kumar Tom Goldstein OOD AAML UQCV 13 19 0 19 Feb 2021
Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable? Anna-Kathrin Kopetzki Bertrand Charpentier Daniel Zügner Sandhya Giri Stephan Günnemann 21 45 0 28 Oct 2020
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 256 3,108 0 04 Nov 2016