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2002.12463
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Certified Defense to Image Transformations via Randomized Smoothing
Neural Information Processing Systems (NeurIPS), 2020
27 February 2020
Marc Fischer
Maximilian Baader
Martin Vechev
AAML
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Papers citing
"Certified Defense to Image Transformations via Randomized Smoothing"
50 / 53 papers shown
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171
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Randomized Smoothing Meets Vision-Language Models
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Changshun Wu
Stefanos D. Kollias
Saddek Bensalem
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143
0
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Cumulative Consensus Score: Label-Free and Model-Agnostic Evaluation of Object Detectors in Deployment
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Xiangyu Yin
Domenik Helm
Chih-Hong Cheng
196
0
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Principal Eigenvalue Regularization for Improved Worst-Class Certified Robustness of Smoothed Classifiers
Gaojie Jin
Tianjin Huang
Ronghui Mu
Xiaowei Huang
AAML
380
0
0
21 Mar 2025
Verification of Geometric Robustness of Neural Networks via Piecewise Linear Approximation and Lipschitz Optimisation
European Conference on Artificial Intelligence (ECAI), 2024
Ben Batten
Yang Zheng
Alessandro De Palma
Panagiotis Kouvaros
A. Lomuscio
AAML
401
3
0
23 Aug 2024
Certified Robustness against Sparse Adversarial Perturbations via Data Localization
Ambar Pal
Rene Vidal
Jeremias Sulam
181
0
0
23 May 2024
RS-Reg: Probabilistic and Robust Certified Regression Through Randomized Smoothing
Aref Miri Rekavandi
Olga Ohrimenko
Benjamin I. P. Rubinstein
AAML
245
4
0
14 May 2024
Estimating the Robustness Radius for Randomized Smoothing with 100
×
\times
×
Sample Efficiency
Emmanouil Seferis
Stefanos D. Kollias
Chih-Hong Cheng
AAML
302
4
0
26 Apr 2024
Accelerated Smoothing: A Scalable Approach to Randomized Smoothing
Devansh Bhardwaj
Kshitiz Kaushik
Sarthak Gupta
AAML
374
0
0
12 Feb 2024
Trust, But Verify: A Survey of Randomized Smoothing Techniques
Anupriya Kumari
Devansh Bhardwaj
Sukrit Jindal
Sarthak Gupta
AAML
349
4
0
19 Dec 2023
Multi-scale Diffusion Denoised Smoothing
Neural Information Processing Systems (NeurIPS), 2023
Jongheon Jeong
Jinwoo Shin
DiffM
384
14
0
25 Oct 2023
SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks
Avi Schwarzschild
Eric Wong
Hamed Hassani
George J. Pappas
AAML
619
428
0
05 Oct 2023
Adversarial Examples Might be Avoidable: The Role of Data Concentration in Adversarial Robustness
Neural Information Processing Systems (NeurIPS), 2023
Ambar Pal
Huaijin Hao
Rene Vidal
322
10
0
28 Sep 2023
Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Hanjiang Hu
Zuxin Liu
Linyi Li
Jiacheng Zhu
Ding Zhao
253
3
0
22 Sep 2023
General Lipschitz: Certified Robustness Against Resolvable Semantic Transformations via Transformation-Dependent Randomized Smoothing
European Conference on Artificial Intelligence (ECAI), 2023
Dmitrii Korzh
Alireza Azadbakht
Maryam Tahmasbi
Alireza Javaheri
AAML
241
0
0
17 Aug 2023
Fixed Inter-Neuron Covariability Induces Adversarial Robustness
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Muhammad Ahmed Shah
Bhiksha Raj
AAML
151
0
0
07 Aug 2023
Training on Foveated Images Improves Robustness to Adversarial Attacks
Neural Information Processing Systems (NeurIPS), 2023
Muhammad Ahmed Shah
Bhiksha Raj
AAML
267
8
0
01 Aug 2023
Text-CRS: A Generalized Certified Robustness Framework against Textual Adversarial Attacks
IEEE Symposium on Security and Privacy (IEEE S&P), 2023
Xinyu Zhang
Hanbin Hong
Yuan Hong
Peng Huang
Binghui Wang
Zhongjie Ba
Kui Ren
SILM
427
39
0
31 Jul 2023
On the Fly Neural Style Smoothing for Risk-Averse Domain Generalization
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Akshay Mehra
Yunbei Zhang
B. Kailkhura
Jihun Hamm
360
3
0
17 Jul 2023
Precise and Generalized Robustness Certification for Neural Networks
USENIX Security Symposium (USENIX Security), 2023
Yuanyuan Yuan
Shuai Wang
Z. Su
AAML
221
5
0
11 Jun 2023
Incremental Randomized Smoothing Certification
International Conference on Learning Representations (ICLR), 2023
Shubham Ugare
Tarun Suresh
Debangshu Banerjee
Gagandeep Singh
Sasa Misailovic
AAML
370
11
0
31 May 2023
A Survey on the Robustness of Computer Vision Models against Common Corruptions
Shunxin Wang
Raymond N. J. Veldhuis
Christoph Brune
N. Strisciuglio
OOD
VLM
714
27
0
10 May 2023
A Certified Radius-Guided Attack Framework to Image Segmentation Models
European Symposium on Security and Privacy (Euro S&P), 2023
Wenjie Qu
Youqi Li
Binghui Wang
AAML
265
5
0
05 Apr 2023
RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers via Randomized Deletion
Neural Information Processing Systems (NeurIPS), 2023
Zhuoqun Huang
Neil G. Marchant
Keane Lucas
Lujo Bauer
O. Ohrimenko
Benjamin I. P. Rubinstein
AAML
468
20
0
31 Jan 2023
Towards Verifying the Geometric Robustness of Large-scale Neural Networks
AAAI Conference on Artificial Intelligence (AAAI), 2023
Fu Lee Wang
Peipei Xu
Wenjie Ruan
Xiaowei Huang
AAML
375
15
0
29 Jan 2023
OccRob: Efficient SMT-Based Occlusion Robustness Verification of Deep Neural Networks
International Conference on Tools and Algorithms for Construction and Analysis of Systems (TACAS), 2023
Xingwu Guo
Ziwei Zhou
Yueling Zhang
Guy Katz
Hao Fei
AAML
195
7
0
27 Jan 2023
Invariance-Aware Randomized Smoothing Certificates
Neural Information Processing Systems (NeurIPS), 2022
Jan Schuchardt
Stephan Günnemann
AAML
262
8
0
25 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
286
12
0
28 Oct 2022
Private and Reliable Neural Network Inference
Conference on Computer and Communications Security (CCS), 2022
Nikola Jovanović
Marc Fischer
Samuel Steffen
Martin Vechev
298
22
0
27 Oct 2022
Robustness Certification of Visual Perception Models via Camera Motion Smoothing
Conference on Robot Learning (CoRL), 2022
Hanjiang Hu
Zuxin Liu
Linyi Li
Jiacheng Zhu
Ding Zhao
AAML
254
8
0
04 Oct 2022
A Simple Strategy to Provable Invariance via Orbit Mapping
Asian Conference on Computer Vision (ACCV), 2022
Kanchana Vaishnavi Gandikota
Jonas Geiping
Zorah Lähner
Adam Czapliñski
Michael Moeller
AAML
3DPC
251
4
0
24 Sep 2022
Provable Defense Against Geometric Transformations
International Conference on Learning Representations (ICLR), 2022
Rem Yang
Jacob S. Laurel
Sasa Misailovic
Gagandeep Singh
AAML
266
18
0
22 Jul 2022
GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing
International Conference on Machine Learning (ICML), 2022
Zhongkai Hao
Chengyang Ying
Yinpeng Dong
Hang Su
Jun Zhu
Jian Song
AAML
189
26
0
09 Jun 2022
(De-)Randomized Smoothing for Decision Stump Ensembles
Neural Information Processing Systems (NeurIPS), 2022
Miklós Z. Horváth
Mark Niklas Muller
Marc Fischer
Martin Vechev
325
5
0
27 May 2022
TPC: Transformation-Specific Smoothing for Point Cloud Models
International Conference on Machine Learning (ICML), 2022
Wen-Hsuan Chu
Linyi Li
Yue Liu
3DPC
496
14
0
30 Jan 2022
Certifying Model Accuracy under Distribution Shifts
Aounon Kumar
Alexander Levine
Tom Goldstein
Soheil Feizi
OOD
292
8
0
28 Jan 2022
Input-Specific Robustness Certification for Randomized Smoothing
AAAI Conference on Artificial Intelligence (AAAI), 2021
Ruoxin Chen
Jie Li
Junchi Yan
Ping Li
Bin Sheng
AAML
344
21
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
254
24
0
01 Dec 2021
CC-Cert: A Probabilistic Approach to Certify General Robustness of Neural Networks
AAAI Conference on Artificial Intelligence (AAAI), 2021
Mikhail Aleksandrovich Pautov
Nurislam Tursynbek
Marina Munkhoeva
Nikita Muravev
Aleksandr Petiushko
Ivan Oseledets
AAML
283
26
0
22 Sep 2021
Shared Certificates for Neural Network Verification
International Conference on Computer Aided Verification (CAV), 2021
Marc Fischer
C. Sprecher
Dimitar I. Dimitrov
Gagandeep Singh
Martin Vechev
AAML
246
15
0
01 Sep 2021
Advances in adversarial attacks and defenses in computer vision: A survey
Naveed Akhtar
Lin Wang
Navid Kardan
M. Shah
AAML
530
313
0
01 Aug 2021
ANCER: Anisotropic Certification via Sample-wise Volume Maximization
Francisco Eiras
Motasem Alfarra
M. P. Kumar
Juil Sock
P. Dokania
Guohao Li
Adel Bibi
277
35
0
09 Jul 2021
DeformRS: Certifying Input Deformations with Randomized Smoothing
Motasem Alfarra
Adel Bibi
Naeemullah Khan
Juil Sock
Guohao Li
146
23
0
02 Jul 2021
Scalable Certified Segmentation via Randomized Smoothing
International Conference on Machine Learning (ICML), 2021
Marc Fischer
Maximilian Baader
Martin Vechev
248
48
0
01 Jul 2021
Certified Robustness via Randomized Smoothing over Multiplicative Parameters of Input Transformations
International Joint Conference on Artificial Intelligence (IJCAI), 2021
Nikita Muravev
Aleksandr Petiushko
AAML
241
9
0
28 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
378
55
0
13 Jun 2021
Robustness Certification for Point Cloud Models
IEEE International Conference on Computer Vision (ICCV), 2021
Tobias Lorenz
Anian Ruoss
Mislav Balunović
Gagandeep Singh
Martin Vechev
3DPC
338
29
0
30 Mar 2021
Improved, Deterministic Smoothing for L_1 Certified Robustness
International Conference on Machine Learning (ICML), 2021
Alexander Levine
Soheil Feizi
AAML
285
47
0
17 Mar 2021
Efficient Certification of Spatial Robustness
AAAI Conference on Artificial Intelligence (AAAI), 2020
Anian Ruoss
Maximilian Baader
Mislav Balunović
Martin Vechev
AAML
179
26
0
19 Sep 2020
SoK: Certified Robustness for Deep Neural Networks
IEEE Symposium on Security and Privacy (IEEE S&P), 2020
Linyi Li
Tao Xie
Yue Liu
AAML
851
150
0
09 Sep 2020
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