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2002.03239
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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
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Papers citing
"Curse of Dimensionality on Randomized Smoothing for Certifiable Robustness"
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Fast Certified Robust Training with Short Warmup
Neural Information Processing Systems (NeurIPS), 2021
Zhouxing Shi
Yihan Wang
Huan Zhang
Jinfeng Yi
Cho-Jui Hsieh
AAML
348
66
0
31 Mar 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
304
58
0
10 Feb 2021
Attack Agnostic Detection of Adversarial Examples via Random Subspace Analysis
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020
Nathan G. Drenkow
Neil Fendley
Philippe Burlina
AAML
323
8
0
11 Dec 2020
Advocating for Multiple Defense Strategies against Adversarial Examples
Alexandre Araujo
Laurent Meunier
Rafael Pinot
Benjamin Négrevergne
AAML
151
10
0
04 Dec 2020
Deterministic Certification to Adversarial Attacks via Bernstein Polynomial Approximation
Ching-Chia Kao
Jhe-Bang Ko
Chun-Shien Lu
AAML
171
1
0
28 Nov 2020
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
228
26
0
15 Nov 2020
Higher-Order Certification for Randomized Smoothing
Jeet Mohapatra
Ching-Yun Ko
Tsui-Wei Weng
Pin-Yu Chen
Sijia Liu
Luca Daniel
AAML
204
47
0
13 Oct 2020
A Framework of Randomized Selection Based Certified Defenses Against Data Poisoning Attacks
Ruoxin Chen
Jie Li
Chentao Wu
Bin Sheng
Ping Li
AAML
174
12
0
18 Sep 2020
Certifying Confidence via Randomized Smoothing
Neural Information Processing Systems (NeurIPS), 2020
Aounon Kumar
Alexander Levine
Soheil Feizi
Tom Goldstein
UQCV
248
41
0
17 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
773
143
0
09 Sep 2020
Adversarial robustness via robust low rank representations
Neural Information Processing Systems (NeurIPS), 2020
Pranjal Awasthi
Himanshu Jain
A. S. Rawat
Aravindan Vijayaraghavan
AAML
200
25
0
13 Jul 2020
Deep Partition Aggregation: Provable Defense against General Poisoning Attacks
Alexander Levine
Soheil Feizi
AAML
201
162
0
26 Jun 2020
Extensions and limitations of randomized smoothing for robustness guarantees
Jamie Hayes
AAML
139
21
0
07 Jun 2020
Enhancing Certified Robustness via Smoothed Weighted Ensembling
Chizhou Liu
Yunzhen Feng
Ranran Wang
Bin Dong
AAML
234
12
0
19 May 2020
Provable Robust Classification via Learned Smoothed Densities
Saeed Saremi
R. Srivastava
AAML
183
3
0
09 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
458
61
0
27 Feb 2020
(De)Randomized Smoothing for Certifiable Defense against Patch Attacks
Neural Information Processing Systems (NeurIPS), 2020
Alexander Levine
Soheil Feizi
AAML
289
174
0
25 Feb 2020
Black-Box Certification with Randomized Smoothing: A Functional Optimization Based Framework
Neural Information Processing Systems (NeurIPS), 2020
Dinghuai Zhang
Mao Ye
Chengyue Gong
Zhanxing Zhu
Qiang Liu
AAML
247
68
0
21 Feb 2020
Randomized Smoothing of All Shapes and Sizes
International Conference on Machine Learning (ICML), 2020
Greg Yang
Tony Duan
J. E. Hu
Hadi Salman
Ilya P. Razenshteyn
Jungshian Li
AAML
454
228
0
19 Feb 2020
Random Smoothing Might be Unable to Certify
ℓ
∞
\ell_\infty
ℓ
∞
Robustness for High-Dimensional Images
Journal of machine learning research (JMLR), 2020
Avrim Blum
Travis Dick
N. Manoj
Hongyang R. Zhang
AAML
276
83
0
10 Feb 2020
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