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Curse of Dimensionality on Randomized Smoothing for Certifiable
  Robustness
v1v2 (latest)

Curse of Dimensionality on Randomized Smoothing for Certifiable Robustness

International Conference on Machine Learning (ICML), 2020
8 February 2020
Aounon Kumar
Alexander Levine
Tom Goldstein
Soheil Feizi
ArXiv (abs)PDFHTML

Papers citing "Curse of Dimensionality on Randomized Smoothing for Certifiable Robustness"

50 / 70 papers shown
Dual Randomized Smoothing: Beyond Global Noise Variance
Dual Randomized Smoothing: Beyond Global Noise Variance
Chenhao Sun
Yuhao Mao
Martin Vechev
AAML
300
0
0
01 Dec 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
140
1
0
30 Sep 2025
Attention! Your Vision Language Model Could Be Maliciously Manipulated
Attention! Your Vision Language Model Could Be Maliciously Manipulated
Xiaosen Wang
Shaokang Wang
Zhijin Ge
Yuyang Luo
Shudong Zhang
AAMLVLM
220
1
0
26 May 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
326
0
0
21 Mar 2025
CeTAD: Towards Certified Toxicity-Aware Distance in Vision Language Models
CeTAD: Towards Certified Toxicity-Aware Distance in Vision Language Models
Xiangyu Yin
Jiaxu Liu
Zhen Chen
Jinwei Hu
Yi Dong
Xiaowei Huang
Wenjie Ruan
AAML
337
0
0
08 Mar 2025
Certified Adversarial Robustness via Partition-based Randomized
  Smoothing
Certified Adversarial Robustness via Partition-based Randomized Smoothing
Hossein Goli
Farzan Farnia
AAML
249
0
0
20 Sep 2024
HO-FMN: Hyperparameter Optimization for Fast Minimum-Norm Attacks
HO-FMN: Hyperparameter Optimization for Fast Minimum-Norm Attacks
Raffaele Mura
Giuseppe Floris
Luca Scionis
Giorgio Piras
Maura Pintor
Ambra Demontis
Giorgio Giacinto
Battista Biggio
Fabio Roli
AAML
320
0
0
11 Jul 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
427
0
0
14 Jun 2024
Effects of Exponential Gaussian Distribution on (Double Sampling)
  Randomized Smoothing
Effects of Exponential Gaussian Distribution on (Double Sampling) Randomized Smoothing
Youwei Shu
Xi Xiao
Derui Wang
Yuxin Cao
Siji Chen
Jason Xue
Linyi Li
Yue Liu
335
2
0
04 Jun 2024
RS-Reg: Probabilistic and Robust Certified Regression Through Randomized
  Smoothing
RS-Reg: Probabilistic and Robust Certified Regression Through Randomized Smoothing
Aref Miri Rekavandi
Olga Ohrimenko
Benjamin I. P. Rubinstein
AAML
216
3
0
14 May 2024
Mitigating the Curse of Dimensionality for Certified Robustness via Dual
  Randomized Smoothing
Mitigating the Curse of Dimensionality for Certified Robustness via Dual Randomized Smoothing
Song Xia
Yu Yi
Xudong Jiang
Henghui Ding
551
12
0
15 Apr 2024
Persistent Classification: A New Approach to Stability of Data and
  Adversarial Examples
Persistent Classification: A New Approach to Stability of Data and Adversarial Examples
Brian Bell
Michael Geyer
David Glickenstein
Keaton Hamm
C. Scheidegger
Amanda S. Fernandez
Juston Moore
AAML
230
2
0
11 Apr 2024
Your Diffusion Model is Secretly a Certifiably Robust Classifier
Your Diffusion Model is Secretly a Certifiably Robust Classifier
Huanran Chen
Yinpeng Dong
Shitong Shao
Zhongkai Hao
Xiao Yang
Hang Su
Jun Zhu
DiffM
385
6
0
04 Feb 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
274
4
0
19 Dec 2023
Projected Randomized Smoothing for Certified Adversarial Robustness
Projected Randomized Smoothing for Certified Adversarial Robustness
Samuel Pfrommer
Brendon G. Anderson
Somayeh Sojoudi
AAML
221
17
0
25 Sep 2023
[Re] Double Sampling Randomized Smoothing
[Re] Double Sampling Randomized Smoothing
A. Gupta
Sarthak Gupta
Abhay Kumar
Harsh Dugar
AAML
155
0
0
27 Jun 2023
Towards Better Certified Segmentation via Diffusion Models
Towards Better Certified Segmentation via Diffusion ModelsConference on Uncertainty in Artificial Intelligence (UAI), 2023
Othmane Laousy
Alexandre Araujo
G. Chassagnon
M. Revel
S. Garg
Farshad Khorrami
Maria Vakalopoulou
DiffM
257
3
0
16 Jun 2023
How robust accuracy suffers from certified training with convex
  relaxations
How robust accuracy suffers from certified training with convex relaxations
Piersilvio De Bartolomeis
Jacob Clarysse
Amartya Sanyal
Fanny Yang
AAML
185
2
0
12 Jun 2023
Understanding Noise-Augmented Training for Randomized Smoothing
Understanding Noise-Augmented Training for Randomized Smoothing
Ambar Pal
Jeremias Sulam
AAML
361
7
0
08 May 2023
A Certified Radius-Guided Attack Framework to Image Segmentation Models
A Certified Radius-Guided Attack Framework to Image Segmentation ModelsEuropean Symposium on Security and Privacy (Euro S&P), 2023
Wenjie Qu
Youqi Li
Binghui Wang
AAML
194
5
0
05 Apr 2023
Provable Robustness for Streaming Models with a Sliding Window
Provable Robustness for Streaming Models with a Sliding Window
Aounon Kumar
Vinu Sankar Sadasivan
Soheil Feizi
OODAAMLAI4TS
246
1
0
28 Mar 2023
It Is All About Data: A Survey on the Effects of Data on Adversarial
  Robustness
It Is All About Data: A Survey on the Effects of Data on Adversarial RobustnessACM Computing Surveys (ACM Comput. Surv.), 2023
Peiyu Xiong
Michael W. Tegegn
Jaskeerat Singh Sarin
Shubhraneel Pal
Julia Rubin
SILMAAML
375
16
0
17 Mar 2023
A Unified Algebraic Perspective on Lipschitz Neural Networks
A Unified Algebraic Perspective on Lipschitz Neural NetworksInternational Conference on Learning Representations (ICLR), 2023
Alexandre Araujo
Aaron J. Havens
Blaise Delattre
A. Allauzen
Bin Hu
AAML
272
65
0
06 Mar 2023
Run-Off Election: Improved Provable Defense against Data Poisoning
  Attacks
Run-Off Election: Improved Provable Defense against Data Poisoning AttacksInternational Conference on Machine Learning (ICML), 2023
Keivan Rezaei
Kiarash Banihashem
Atoosa Malemir Chegini
Soheil Feizi
AAML
415
19
0
05 Feb 2023
Towards Large Certified Radius in Randomized Smoothing using
  Quasiconcave Optimization
Towards Large Certified Radius in Randomized Smoothing using Quasiconcave OptimizationAAAI Conference on Artificial Intelligence (AAAI), 2023
Bo-Han Kung
Shang-Tse Chen
AAML
191
1
0
01 Feb 2023
Confidence-aware Training of Smoothed Classifiers for Certified
  Robustness
Confidence-aware Training of Smoothed Classifiers for Certified RobustnessAAAI Conference on Artificial Intelligence (AAAI), 2022
Jongheon Jeong
Seojin Kim
Jinwoo Shin
AAML
411
10
0
18 Dec 2022
Improved techniques for deterministic l2 robustness
Improved techniques for deterministic l2 robustnessNeural Information Processing Systems (NeurIPS), 2022
Sahil Singla
Soheil Feizi
AAML
210
12
0
15 Nov 2022
Certified Training: Small Boxes are All You Need
Certified Training: Small Boxes are All You NeedInternational Conference on Learning Representations (ICLR), 2022
Mark Niklas Muller
Franziska Eckert
Marc Fischer
Martin Vechev
AAML
308
63
0
10 Oct 2022
Denoising Masked AutoEncoders Help Robust Classification
Denoising Masked AutoEncoders Help Robust ClassificationInternational Conference on Learning Representations (ICLR), 2022
Quanlin Wu
Hang Ye
Yuntian Gu
Huishuai Zhang
Liwei Wang
Di He
424
25
0
10 Oct 2022
Rethinking Lipschitz Neural Networks and Certified Robustness: A Boolean
  Function Perspective
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
372
71
0
04 Oct 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
158
4
0
21 Jun 2022
RetrievalGuard: Provably Robust 1-Nearest Neighbor Image Retrieval
RetrievalGuard: Provably Robust 1-Nearest Neighbor Image RetrievalInternational Conference on Machine Learning (ICML), 2022
Yihan Wu
Hongyang R. Zhang
Heng Huang
3DV
177
21
0
17 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
513
28
0
16 Jun 2022
Towards Evading the Limits of Randomized Smoothing: A Theoretical
  Analysis
Towards Evading the Limits of Randomized Smoothing: A Theoretical Analysis
Raphael Ettedgui
Alexandre Araujo
Rafael Pinot
Y. Chevaleyre
Jamal Atif
AAML
168
3
0
03 Jun 2022
BagFlip: A Certified Defense against Data Poisoning
BagFlip: A Certified Defense against Data PoisoningNeural Information Processing Systems (NeurIPS), 2022
Yuhao Zhang
Aws Albarghouthi
Loris Dántoni
AAML
231
27
0
26 May 2022
StyleFool: Fooling Video Classification Systems via Style Transfer
StyleFool: Fooling Video Classification Systems via Style TransferIEEE Symposium on Security and Privacy (IEEE S&P), 2022
Yu Cao
Xi Xiao
Ruoxi Sun
Derui Wang
Minhui Xue
Sheng Wen
AAML
536
29
0
30 Mar 2022
A Law of Robustness beyond Isoperimetry
A Law of Robustness beyond IsoperimetryInternational Conference on Machine Learning (ICML), 2022
Yihan Wu
Heng Huang
Hongyang R. Zhang
OOD
183
8
0
23 Feb 2022
Certifiable Robustness for Nearest Neighbor Classifiers
Certifiable Robustness for Nearest Neighbor ClassifiersInternational Conference on Database Theory (ICDT), 2022
Austen Z. Fan
Paraschos Koutris
AAML
152
6
0
13 Jan 2022
Constrained Gradient Descent: A Powerful and Principled Evasion Attack
  Against Neural Networks
Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural NetworksInternational Conference on Machine Learning (ICML), 2021
Weiran Lin
Keane Lucas
Lujo Bauer
Michael K. Reiter
Mahmood Sharif
AAML
167
5
0
28 Dec 2021
Adversarial Robustness with Semi-Infinite Constrained Learning
Adversarial Robustness with Semi-Infinite Constrained LearningNeural Information Processing Systems (NeurIPS), 2021
Avi Schwarzschild
Luiz F. O. Chamon
George J. Pappas
Hamed Hassani
Alejandro Ribeiro
AAMLOOD
298
49
0
29 Oct 2021
ε-weakened Robustness of Deep Neural Networks
ε-weakened Robustness of Deep Neural NetworksInternational Symposium on Software Testing and Analysis (ISSTA), 2021
Pei Huang
Yuting Yang
Minghao Liu
Fuqi Jia
Feifei Ma
Jian Zhang
AAML
184
18
0
29 Oct 2021
Boosting the Certified Robustness of L-infinity Distance Nets
Boosting the Certified Robustness of L-infinity Distance Nets
Bohang Zhang
Du Jiang
Di He
Liwei Wang
OOD
311
33
0
13 Oct 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
198
25
0
11 Oct 2021
Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100
Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100International Conference on Learning Representations (ICLR), 2021
Sahil Singla
Surbhi Singla
Soheil Feizi
AAML
239
71
0
05 Aug 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
220
35
0
09 Jul 2021
Universal 3-Dimensional Perturbations for Black-Box Attacks on Video
  Recognition Systems
Universal 3-Dimensional Perturbations for Black-Box Attacks on Video Recognition SystemsIEEE Symposium on Security and Privacy (IEEE S&P), 2021
Shangyu Xie
Zheng Chen
Yu Kong
Yuan Hong
AAML
231
30
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
117
23
0
02 Jul 2021
Certified Robustness via Randomized Smoothing over Multiplicative
  Parameters of Input Transformations
Certified Robustness via Randomized Smoothing over Multiplicative Parameters of Input TransformationsInternational Joint Conference on Artificial Intelligence (IJCAI), 2021
Nikita Muravev
Aleksandr Petiushko
AAML
181
9
0
28 Jun 2021
Boosting Randomized Smoothing with Variance Reduced Classifiers
Boosting Randomized Smoothing with Variance Reduced ClassifiersInternational Conference on Learning Representations (ICLR), 2021
Miklós Z. Horváth
Mark Niklas Muller
Marc Fischer
Martin Vechev
AAMLUQCV
305
55
0
13 Jun 2021
Skew Orthogonal Convolutions
Skew Orthogonal ConvolutionsInternational Conference on Machine Learning (ICML), 2021
Sahil Singla
Soheil Feizi
257
75
0
24 May 2021
12
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