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2009.08061
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Certifying Confidence via Randomized Smoothing
Neural Information Processing Systems (NeurIPS), 2020
17 September 2020
Aounon Kumar
Alexander Levine
Soheil Feizi
Tom Goldstein
UQCV
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Papers citing
"Certifying Confidence via Randomized Smoothing"
30 / 30 papers shown
Reconcile Certified Robustness and Accuracy for DNN-based Smoothed Majority Vote Classifier
Gaojie Jin
Xinping Yi
Xiaowei Huang
AAML
177
2
0
30 Sep 2025
One Sample is Enough to Make Conformal Prediction Robust
Soroush H. Zargarbashi
Mohammad Sadegh Akhondzadeh
Aleksandar Bojchevski
293
3
0
19 Jun 2025
Principal Eigenvalue Regularization for Improved Worst-Class Certified Robustness of Smoothed Classifiers
Gaojie Jin
Tianjin Huang
Ronghui Mu
Xiaowei Huang
AAML
395
0
0
21 Mar 2025
Robust Conformal Prediction with a Single Binary Certificate
International Conference on Learning Representations (ICLR), 2025
Soroush H. Zargarbashi
Aleksandar Bojchevski
349
3
0
07 Mar 2025
A Probabilistic Perspective on Unlearning and Alignment for Large Language Models
International Conference on Learning Representations (ICLR), 2024
Yan Scholten
Stephan Günnemann
Leo Schwinn
MU
927
19
0
04 Oct 2024
Discrete Randomized Smoothing Meets Quantum Computing
International Conference on Quantum Computing and Engineering (QCE), 2024
Md. Nazmus Sakib
Aman Saxena
Nicola Franco
Md Mashrur Arifin
Stephan Günnemann
AAML
281
2
0
01 Aug 2024
Towards Certification of Uncertainty Calibration under Adversarial Attacks
Cornelius Emde
Francesco Pinto
Thomas Lukasiewicz
Juil Sock
Adel Bibi
AAML
607
2
0
22 May 2024
COMMIT: Certifying Robustness of Multi-Sensor Fusion Systems against Semantic Attacks
Zijian Huang
Wenda Chu
Linyi Li
Chejian Xu
Yue Liu
AAML
297
2
0
04 Mar 2024
Calibration Attacks: A Comprehensive Study of Adversarial Attacks on Model Confidence
Stephen Obadinma
Xiaodan Zhu
Ziqiao Wang
AAML
313
3
0
05 Jan 2024
Trust, But Verify: A Survey of Randomized Smoothing Techniques
Anupriya Kumari
Devansh Bhardwaj
Sukrit Jindal
Sarthak Gupta
AAML
367
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
300
8
0
11 Dec 2023
Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization
Neural Information Processing Systems (NeurIPS), 2023
Mahyar Fazlyab
Taha Entesari
Aniket Roy
Ramalingam Chellappa
AAML
839
23
0
29 Sep 2023
Characterizing Data Point Vulnerability via Average-Case Robustness
Conference on Uncertainty in Artificial Intelligence (UAI), 2023
Tessa Han
Suraj Srinivas
Himabindu Lakkaraju
AAML
OOD
661
3
0
26 Jul 2023
Incremental Randomized Smoothing Certification
International Conference on Learning Representations (ICLR), 2023
Shubham Ugare
Tarun Suresh
Debangshu Banerjee
Gagandeep Singh
Sasa Misailovic
AAML
424
12
0
31 May 2023
CUDA: Convolution-based Unlearnable Datasets
Computer Vision and Pattern Recognition (CVPR), 2023
Vinu Sankar Sadasivan
Mahdi Soltanolkotabi
Soheil Feizi
MU
347
33
0
07 Mar 2023
Confidence-aware Training of Smoothed Classifiers for Certified Robustness
AAAI Conference on Artificial Intelligence (AAAI), 2022
Jongheon Jeong
Seojin Kim
Jinwoo Shin
AAML
456
13
0
18 Dec 2022
Robust Perception through Equivariance
International Conference on Machine Learning (ICML), 2022
Chengzhi Mao
Lingyu Zhang
Abhishek Joshi
Junfeng Yang
Hongya Wang
Carl Vondrick
BDL
AAML
366
10
0
12 Dec 2022
Improved techniques for deterministic l2 robustness
Neural Information Processing Systems (NeurIPS), 2022
Sahil Singla
Soheil Feizi
AAML
232
12
0
15 Nov 2022
Localized Randomized Smoothing for Collective Robustness Certification
International Conference on Learning Representations (ICLR), 2022
Jan Schuchardt
Thomas Wollschläger
Aleksandar Bojchevski
Stephan Günnemann
AAML
295
12
0
28 Oct 2022
RUSH: Robust Contrastive Learning via Randomized Smoothing
Yijiang Pang
Boyang Liu
Jiayu Zhou
OOD
AAML
203
1
0
11 Jul 2022
Double Sampling Randomized Smoothing
International Conference on Machine Learning (ICML), 2022
Linyi Li
Jiawei Zhang
Tao Xie
Yue Liu
AAML
576
28
0
16 Jun 2022
Robust Natural Language Processing: Recent Advances, Challenges, and Future Directions
IEEE Access (IEEE Access), 2022
Marwan Omar
Soohyeon Choi
Daehun Nyang
David A. Mohaisen
279
82
0
03 Jan 2022
Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100
International Conference on Learning Representations (ICLR), 2021
Sahil Singla
Surbhi Singla
Soheil Feizi
AAML
291
76
0
05 Aug 2021
On the Certified Robustness for Ensemble Models and Beyond
International Conference on Learning Representations (ICLR), 2021
Zhuolin Yang
Linyi Li
Xiaojun Xu
B. Kailkhura
Tao Xie
Yue Liu
AAML
459
55
0
22 Jul 2021
Policy Smoothing for Provably Robust Reinforcement Learning
International Conference on Learning Representations (ICLR), 2021
Aounon Kumar
Alexander Levine
Soheil Feizi
AAML
356
62
0
21 Jun 2021
CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing
Fan Wu
Linyi Li
Zijian Huang
Yevgeniy Vorobeychik
Ding Zhao
Yue Liu
AAML
OffRL
229
64
0
17 Jun 2021
Boosting Randomized Smoothing with Variance Reduced Classifiers
International Conference on Learning Representations (ICLR), 2021
Miklós Z. Horváth
Mark Niklas Muller
Marc Fischer
Martin Vechev
AAML
UQCV
382
55
0
13 Jun 2021
Relating Adversarially Robust Generalization to Flat Minima
IEEE International Conference on Computer Vision (ICCV), 2021
David Stutz
Matthias Hein
Bernt Schiele
OOD
367
79
0
09 Apr 2021
Center Smoothing: Certified Robustness for Networks with Structured Outputs
Neural Information Processing Systems (NeurIPS), 2021
Aounon Kumar
Tom Goldstein
OOD
AAML
UQCV
292
20
0
19 Feb 2021
Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable?
International Conference on Machine Learning (ICML), 2020
Anna-Kathrin Kopetzki
Bertrand Charpentier
Daniel Zügner
Sandhya Giri
Stephan Günnemann
370
55
0
28 Oct 2020
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