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Data-Dependent Randomized Smoothing
v1v2v3v4 (latest)

Data-Dependent Randomized Smoothing

8 December 2020
Motasem Alfarra
Adel Bibi
Juil Sock
Guohao Li
    UQCV
ArXiv (abs)PDFHTML

Papers citing "Data-Dependent Randomized Smoothing"

30 / 30 papers shown
Dual Randomized Smoothing: Beyond Global Noise Variance
Dual Randomized Smoothing: Beyond Global Noise Variance
Chenhao Sun
Yuhao Mao
Martin Vechev
AAML
336
1
0
01 Dec 2025
Towards Strong Certified Defense with Universal Asymmetric Randomization
Towards Strong Certified Defense with Universal Asymmetric Randomization
Hanbin Hong
Ashish Kundu
Ali Payani
Binghui Wang
Yuan Hong
AAML
199
0
0
22 Oct 2025
Reconcile Certified Robustness and Accuracy for DNN-based Smoothed Majority Vote Classifier
Reconcile Certified Robustness and Accuracy for DNN-based Smoothed Majority Vote Classifier
Gaojie Jin
Xinping Yi
Xiaowei Huang
AAML
177
1
0
30 Sep 2025
Adversarial Examples in Environment Perception for Automated Driving (Review)
Adversarial Examples in Environment Perception for Automated Driving (Review)
Jun Yan
Huilin Yin
AAML
372
1
0
11 Apr 2025
Bridging the Theoretical Gap in Randomized Smoothing
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
479
1
0
03 Apr 2025
Principal Eigenvalue Regularization for Improved Worst-Class Certified Robustness of Smoothed Classifiers
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
Average Certified Radius is a Poor Metric for Randomized Smoothing
Average Certified Radius is a Poor Metric for Randomized Smoothing
Chenhao Sun
Yuhao Mao
Mark Niklas Muller
Martin Vechev
AAML
679
3
0
09 Oct 2024
Adaptive Randomized Smoothing: Certified Adversarial Robustness for Multi-Step Defences
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
516
0
0
14 Jun 2024
Robust width: A lightweight and certifiable adversarial defense
Robust width: A lightweight and certifiable adversarial defense
Jonathan Peck
Bart Goossens
AAML
243
3
0
24 May 2024
Trust, But Verify: A Survey of Randomized Smoothing Techniques
Trust, But Verify: A Survey of Randomized Smoothing Techniques
Anupriya Kumari
Devansh Bhardwaj
Sukrit Jindal
Sarthak Gupta
AAML
367
4
0
19 Dec 2023
Fast Certification of Vision-Language Models Using Incremental
  Randomized Smoothing
Fast Certification of Vision-Language Models Using Incremental Randomized Smoothing
Ashutosh Nirala
Ameya Joshi
Chinmay Hegde
S Sarkar
VLM
424
2
0
15 Nov 2023
Multi-scale Diffusion Denoised Smoothing
Multi-scale Diffusion Denoised SmoothingNeural Information Processing Systems (NeurIPS), 2023
Jongheon Jeong
Jinwoo Shin
DiffM
398
14
0
25 Oct 2023
Promoting Robustness of Randomized Smoothing: Two Cost-Effective
  Approaches
Promoting Robustness of Randomized Smoothing: Two Cost-Effective ApproachesIndustrial Conference on Data Mining (IDM), 2023
Linbo Liu
T. Hoang
Lam M. Nguyen
Tsui-Wei Weng
AAML
182
0
0
11 Oct 2023
Projected Randomized Smoothing for Certified Adversarial Robustness
Projected Randomized Smoothing for Certified Adversarial Robustness
Samuel Pfrommer
Brendon G. Anderson
Somayeh Sojoudi
AAML
280
17
0
25 Sep 2023
Understanding Noise-Augmented Training for Randomized Smoothing
Understanding Noise-Augmented Training for Randomized Smoothing
Ambar Pal
Jeremias Sulam
AAML
460
8
0
08 May 2023
Certifying Ensembles: A General Certification Theory with
  S-Lipschitzness
Certifying Ensembles: A General Certification Theory with S-LipschitznessInternational Conference on Machine Learning (ICML), 2023
Aleksandar Petrov
Francisco Eiras
Amartya Sanyal
Juil Sock
Adel Bibi
UQCV
275
2
0
25 Apr 2023
Generalizability of Adversarial Robustness Under Distribution Shifts
Generalizability of Adversarial Robustness Under Distribution Shifts
Kumail Alhamoud
Hasan Hammoud
Motasem Alfarra
Guohao Li
OOD
460
13
0
29 Sep 2022
An Overview and Prospective Outlook on Robust Training and Certification
  of Machine Learning Models
An Overview and Prospective Outlook on Robust Training and Certification of Machine Learning Models
Brendon G. Anderson
Tanmay Gautam
Somayeh Sojoudi
OOD
356
2
0
15 Aug 2022
Certified Adversarial Robustness via Anisotropic Randomized Smoothing
Certified Adversarial Robustness via Anisotropic Randomized Smoothing
Hanbin Hong
Yuan Hong
AAML
332
7
0
12 Jul 2022
Riemannian data-dependent randomized smoothing for neural networks
  certification
Riemannian data-dependent randomized smoothing for neural networks certification
Pol Labarbarie
H. Hajri
M. Arnaudon
216
4
0
21 Jun 2022
Double Sampling Randomized Smoothing
Double Sampling Randomized SmoothingInternational Conference on Machine Learning (ICML), 2022
Linyi Li
Jiawei Zhang
Tao Xie
Yue Liu
AAML
576
28
0
16 Jun 2022
Certified Robustness in Federated Learning
Certified Robustness in Federated Learning
Motasem Alfarra
Juan C. Pérez
Egor Shulgin
Peter Richtárik
Guohao Li
AAMLFedML
297
10
0
06 Jun 2022
Smooth-Reduce: Leveraging Patches for Improved Certified Robustness
Smooth-Reduce: Leveraging Patches for Improved Certified Robustness
Ameya Joshi
Minh Pham
Minsu Cho
Leonid Boytsov
Filipe Condessa
J. Zico Kolter
Chinmay Hegde
UQCVAAML
270
2
0
12 May 2022
3DeformRS: Certifying Spatial Deformations on Point Clouds
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
288
14
0
12 Apr 2022
Robust and Accurate -- Compositional Architectures for Randomized
  Smoothing
Robust and Accurate -- Compositional Architectures for Randomized Smoothing
Miklós Z. Horváth
Mark Niklas Muller
Marc Fischer
Martin Vechev
UQCVAAML
198
14
0
01 Apr 2022
SmoothMix: Training Confidence-calibrated Smoothed Classifiers for
  Certified Robustness
SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness
Jongheon Jeong
Sejun Park
Minkyu Kim
Heung-Chang Lee
Do-Guk Kim
Jinwoo Shin
AAML
248
65
0
17 Nov 2021
Intriguing Properties of Input-dependent Randomized Smoothing
Intriguing Properties of Input-dependent Randomized SmoothingInternational Conference on Machine Learning (ICML), 2021
Peter Súkeník
A. Kuvshinov
Stephan Günnemann
AAMLUQCV
294
25
0
11 Oct 2021
ANCER: Anisotropic Certification via Sample-wise Volume Maximization
ANCER: Anisotropic Certification via Sample-wise Volume Maximization
Francisco Eiras
Motasem Alfarra
M. P. Kumar
Juil Sock
P. Dokania
Guohao Li
Adel Bibi
280
35
0
09 Jul 2021
DeformRS: Certifying Input Deformations with Randomized Smoothing
DeformRS: Certifying Input Deformations with Randomized Smoothing
Motasem Alfarra
Adel Bibi
Naeemullah Khan
Juil Sock
Guohao Li
146
23
0
02 Jul 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
344
8
0
07 Mar 2021
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