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2002.09169
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Black-Box Certification with Randomized Smoothing: A Functional Optimization Based Framework
Neural Information Processing Systems (NeurIPS), 2020
21 February 2020
Dinghuai Zhang
Mao Ye
Chengyue Gong
Zhanxing Zhu
Qiang Liu
AAML
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Papers citing
"Black-Box Certification with Randomized Smoothing: A Functional Optimization Based Framework"
48 / 48 papers shown
Towards Strong Certified Defense with Universal Asymmetric Randomization
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Reconcile Certified Robustness and Accuracy for DNN-based Smoothed Majority Vote Classifier
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One Sample is Enough to Make Conformal Prediction Robust
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290
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Principal Eigenvalue Regularization for Improved Worst-Class Certified Robustness of Smoothed Classifiers
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381
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ARQ: A Mixed-Precision Quantization Framework for Accurate and Certifiably Robust DNNs
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Shubham Ugare
Yifan Zhao
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386
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Privacy-preserving Universal Adversarial Defense for Black-box Models
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2024
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Yanwei Yue
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Kun He
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Xinxin Wang
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Yang Liu
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356
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20 Aug 2024
Certifiably Robust Encoding Schemes
International Conference on Quantum Computing and Engineering (QCE), 2024
Aman Saxena
Tom Wollschlager
Nicola Franco
J. M. Lorenz
Stephan Günnemann
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314
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02 Aug 2024
Discrete Randomized Smoothing Meets Quantum Computing
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Md. Nazmus Sakib
Aman Saxena
Nicola Franco
Md Mashrur Arifin
Stephan Günnemann
AAML
279
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01 Aug 2024
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
367
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04 Jun 2024
RS-Reg: Probabilistic and Robust Certified Regression Through Randomized Smoothing
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Olga Ohrimenko
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245
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Trust, But Verify: A Survey of Randomized Smoothing Techniques
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Devansh Bhardwaj
Sukrit Jindal
Sarthak Gupta
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356
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0
19 Dec 2023
Nonparametric Teaching for Multiple Learners
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Xiaofeng Cao
Weiyang Liu
Ivor Tsang
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311
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Understanding the Robustness of Randomized Feature Defense Against Query-Based Adversarial Attacks
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Yingjie Lao
Tung Pham
Kok-Seng Wong
Khoa D. Doan
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SILM
243
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01 Oct 2023
Projected Randomized Smoothing for Certified Adversarial Robustness
Samuel Pfrommer
Brendon G. Anderson
Somayeh Sojoudi
AAML
270
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0
25 Sep 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
431
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31 Jul 2023
[Re] Double Sampling Randomized Smoothing
A. Gupta
Sarthak Gupta
Abhay Kumar
Harsh Dugar
AAML
178
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Nonparametric Iterative Machine Teaching
International Conference on Machine Learning (ICML), 2023
Chen Zhang
Xiaofeng Cao
Weiyang Liu
Ivor Tsang
James T. Kwok
432
13
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05 Jun 2023
Incremental Randomized Smoothing Certification
International Conference on Learning Representations (ICLR), 2023
Shubham Ugare
Tarun Suresh
Debangshu Banerjee
Gagandeep Singh
Sasa Misailovic
AAML
379
11
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31 May 2023
Asymmetric Certified Robustness via Feature-Convex Neural Networks
Neural Information Processing Systems (NeurIPS), 2023
Samuel Pfrommer
Brendon G. Anderson
Julien Piet
Somayeh Sojoudi
AAML
263
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0
03 Feb 2023
Towards Large Certified Radius in Randomized Smoothing using Quasiconcave Optimization
AAAI Conference on Artificial Intelligence (AAAI), 2023
Bo-Han Kung
Shang-Tse Chen
AAML
243
1
0
01 Feb 2023
Confidence-aware Training of Smoothed Classifiers for Certified Robustness
AAAI Conference on Artificial Intelligence (AAAI), 2022
Jongheon Jeong
Seojin Kim
Jinwoo Shin
AAML
447
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18 Dec 2022
Towards Robust Dataset Learning
Yihan Wu
Xinda Li
Florian Kerschbaum
Heng Huang
Hongyang R. Zhang
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187
11
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19 Nov 2022
Localized Randomized Smoothing for Collective Robustness Certification
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Jan Schuchardt
Thomas Wollschläger
Aleksandar Bojchevski
Stephan Günnemann
AAML
287
12
0
28 Oct 2022
An Overview and Prospective Outlook on Robust Training and Certification of Machine Learning Models
Brendon G. Anderson
Tanmay Gautam
Somayeh Sojoudi
OOD
339
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15 Aug 2022
Certified Adversarial Robustness via Anisotropic Randomized Smoothing
Hanbin Hong
Yuan Hong
AAML
320
7
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12 Jul 2022
UniCR: Universally Approximated Certified Robustness via Randomized Smoothing
European Conference on Computer Vision (ECCV), 2022
Hanbin Hong
Binghui Wang
Yuan Hong
AAML
239
16
0
05 Jul 2022
PRoA: A Probabilistic Robustness Assessment against Functional Perturbations
Tianle Zhang
Wenjie Ruan
J. Fieldsend
AAML
205
28
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05 Jul 2022
RetrievalGuard: Provably Robust 1-Nearest Neighbor Image Retrieval
International Conference on Machine Learning (ICML), 2022
Yihan Wu
Hongyang R. Zhang
Heng Huang
3DV
228
23
0
17 Jun 2022
Double Sampling Randomized Smoothing
International Conference on Machine Learning (ICML), 2022
Linyi Li
Jiawei Zhang
Tao Xie
Yue Liu
AAML
555
28
0
16 Jun 2022
Building Robust Ensembles via Margin Boosting
International Conference on Machine Learning (ICML), 2022
Dinghuai Zhang
Hongyang R. Zhang
Aaron Courville
Yoshua Bengio
Pradeep Ravikumar
A. Suggala
AAML
UQCV
210
17
0
07 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
On Collective Robustness of Bagging Against Data Poisoning
International Conference on Machine Learning (ICML), 2022
Ruoxin Chen
Zenan Li
Jie Li
Chentao Wu
Junchi Yan
248
25
0
26 May 2022
Formulating Robustness Against Unforeseen Attacks
Neural Information Processing Systems (NeurIPS), 2022
Sihui Dai
Saeed Mahloujifar
Prateek Mittal
OOD
AAML
436
9
0
28 Apr 2022
Defending Black-box Skeleton-based Human Activity Classifiers
AAAI Conference on Artificial Intelligence (AAAI), 2022
He Wang
Yunfeng Diao
Zichang Tan
G. Guo
AAML
487
13
0
09 Mar 2022
Smoothed Embeddings for Certified Few-Shot Learning
Neural Information Processing Systems (NeurIPS), 2022
Mikhail Aleksandrovich Pautov
Olesya Kuznetsova
Nurislam Tursynbek
Aleksandr Petiushko
Ivan Oseledets
434
10
0
02 Feb 2022
Boosting the Certified Robustness of L-infinity Distance Nets
Bohang Zhang
Du Jiang
Di He
Liwei Wang
OOD
392
35
0
13 Oct 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
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
441
55
0
22 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
Knowledge Enhanced Machine Learning Pipeline against Diverse Adversarial Attacks
International Conference on Machine Learning (ICML), 2021
Nezihe Merve Gürel
Xiangyu Qi
Luka Rimanic
Ce Zhang
Yue Liu
AAML
232
51
0
11 Jun 2021
Towards Certifying L-infinity Robustness using Neural Networks with L-inf-dist Neurons
International Conference on Machine Learning (ICML), 2021
Bohang Zhang
Tianle Cai
Zhou Lu
Di He
Liwei Wang
OOD
335
61
0
10 Feb 2021
Almost Tight L0-norm Certified Robustness of Top-k Predictions against Adversarial Perturbations
International Conference on Learning Representations (ICLR), 2020
Jinyuan Jia
Binghui Wang
Xiaoyu Cao
Hongbin Liu
Neil Zhenqiang Gong
318
26
0
15 Nov 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
856
150
0
09 Sep 2020
SAFER: A Structure-free Approach for Certified Robustness to Adversarial Word Substitutions
Annual Meeting of the Association for Computational Linguistics (ACL), 2020
Mao Ye
Chengyue Gong
Qiang Liu
AAML
238
114
0
29 May 2020
Enhancing Certified Robustness via Smoothed Weighted Ensembling
Chizhou Liu
Yunzhen Feng
Ranran Wang
Bin Dong
AAML
272
12
0
19 May 2020
TSS: Transformation-Specific Smoothing for Robustness Certification
Conference on Computer and Communications Security (CCS), 2020
Linyi Li
Maurice Weber
Xiaojun Xu
Luka Rimanic
B. Kailkhura
Tao Xie
Ce Zhang
Yue Liu
AAML
526
61
0
27 Feb 2020
Curse of Dimensionality on Randomized Smoothing for Certifiable Robustness
International Conference on Machine Learning (ICML), 2020
Aounon Kumar
Alexander Levine
Tom Goldstein
Soheil Feizi
337
102
0
08 Feb 2020
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![[Re] Double Sampling Randomized Smoothing](https://cdn.parameterlab.de/resized-images/aHR0cHM6Ly9jZG4ucGFyYW1ldGVybGFiLmRlL3BhcGVycy8yMzA2LjE1MjIxL3BhZ2VzL3BhZ2UtMS1xODBkMzAwLmpwZw?w=256&q=75&f=webp)
