Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1910.10783
Cited By
Wasserstein Smoothing: Certified Robustness against Wasserstein Adversarial Attacks
International Conference on Artificial Intelligence and Statistics (AISTATS), 2019
23 October 2019
Alexander Levine
Soheil Feizi
AAML
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Wasserstein Smoothing: Certified Robustness against Wasserstein Adversarial Attacks"
39 / 39 papers shown
Robust width: A lightweight and certifiable adversarial defense
Jonathan Peck
Bart Goossens
AAML
202
2
0
24 May 2024
Understanding Noise-Augmented Training for Randomized Smoothing
Ambar Pal
Jeremias Sulam
AAML
361
7
0
08 May 2023
Wasserstein Adversarial Examples on Univariant Time Series Data
Wenjie Wang
Li Xiong
Jian Lou
AAML
125
0
0
22 Mar 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
233
9
0
03 Feb 2023
Instance-Dependent Generalization Bounds via Optimal Transport
Journal of machine learning research (JMLR), 2022
Songyan Hou
Parnian Kassraie
Anastasis Kratsios
Andreas Krause
Jonas Rothfuss
492
12
0
02 Nov 2022
An Overview and Prospective Outlook on Robust Training and Certification of Machine Learning Models
Brendon G. Anderson
Tanmay Gautam
Somayeh Sojoudi
OOD
248
2
0
15 Aug 2022
Sound Randomized Smoothing in Floating-Point Arithmetics
International Conference on Learning Representations (ICLR), 2022
Václav Voráček
Matthias Hein
255
5
0
14 Jul 2022
Global-Local Regularization Via Distributional Robustness
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Hoang Phan
Trung Le
Trung-Nghia Phung
Tu Bui
Nhat Ho
Dinh Q. Phung
OOD
260
15
0
01 Mar 2022
A Unified Wasserstein Distributional Robustness Framework for Adversarial Training
International Conference on Learning Representations (ICLR), 2022
Tu Bui
Trung Le
Quan Hung Tran
He Zhao
Dinh Q. Phung
AAML
OOD
208
52
0
27 Feb 2022
Adversarial robustness of sparse local Lipschitz predictors
SIAM Journal on Mathematics of Data Science (SIMODS), 2022
Ramchandran Muthukumar
Jeremias Sulam
AAML
255
15
0
26 Feb 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
280
8
0
02 Feb 2022
Certifying Model Accuracy under Distribution Shifts
Aounon Kumar
Alexander Levine
Tom Goldstein
Soheil Feizi
OOD
228
8
0
28 Jan 2022
Interpolated Joint Space Adversarial Training for Robust and Generalizable Defenses
Chun Pong Lau
Jiang-Long Liu
Hossein Souri
Wei-An Lin
Soheil Feizi
Ramalingam Chellappa
AAML
228
17
0
12 Dec 2021
SLOSH: Set LOcality Sensitive Hashing via Sliced-Wasserstein Embeddings
Yuzhe Lu
Hengrong Du
Andrea Soltoggio
Soheil Kolouri
206
9
0
11 Dec 2021
A Framework for Verification of Wasserstein Adversarial Robustness
Tobias Wegel
F. Assion
David Mickisch
Florens Greßner
AAML
130
0
0
13 Oct 2021
Certified Patch Robustness via Smoothed Vision Transformers
Computer Vision and Pattern Recognition (CVPR), 2021
Hadi Salman
Saachi Jain
Eric Wong
Aleksander Mkadry
AAML
188
66
0
11 Oct 2021
DeformRS: Certifying Input Deformations with Randomized Smoothing
Motasem Alfarra
Adel Bibi
Naeemullah Khan
Juil Sock
Guohao Li
116
23
0
02 Jul 2021
Scalable Certified Segmentation via Randomized Smoothing
International Conference on Machine Learning (ICML), 2021
Marc Fischer
Maximilian Baader
Martin Vechev
203
47
0
01 Jul 2021
Group-Structured Adversarial Training
Farzan Farnia
Amirali Aghazadeh
James Zou
David Tse
AAML
258
0
0
18 Jun 2021
Improved, Deterministic Smoothing for L_1 Certified Robustness
International Conference on Machine Learning (ICML), 2021
Alexander Levine
Soheil Feizi
AAML
248
47
0
17 Mar 2021
Center Smoothing: Certified Robustness for Networks with Structured Outputs
Neural Information Processing Systems (NeurIPS), 2021
Aounon Kumar
Tom Goldstein
OOD
AAML
UQCV
244
20
0
19 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
313
8
0
11 Dec 2020
Boosting Adversarial Attacks on Neural Networks with Better Optimizer
Heng Yin
Hengwei Zhang
Jin-dong Wang
Ruiyu Dou
AAML
196
11
0
01 Dec 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
217
26
0
15 Nov 2020
Efficient Certification of Spatial Robustness
AAAI Conference on Artificial Intelligence (AAAI), 2020
Anian Ruoss
Maximilian Baader
Mislav Balunović
Martin Vechev
AAML
139
26
0
19 Sep 2020
Certifying Confidence via Randomized Smoothing
Neural Information Processing Systems (NeurIPS), 2020
Aounon Kumar
Alexander Levine
Soheil Feizi
Tom Goldstein
UQCV
241
41
0
17 Sep 2020
Finite-Sample Guarantees for Wasserstein Distributionally Robust Optimization: Breaking the Curse of Dimensionality
Operational Research (OR), 2020
Rui Gao
363
111
0
09 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
754
143
0
09 Sep 2020
Dual Manifold Adversarial Robustness: Defense against Lp and non-Lp Adversarial Attacks
Neural Information Processing Systems (NeurIPS), 2020
Wei-An Lin
Chun Pong Lau
Alexander Levine
Ramalingam Chellappa
Soheil Feizi
AAML
264
63
0
05 Sep 2020
Stronger and Faster Wasserstein Adversarial Attacks
International Conference on Machine Learning (ICML), 2020
Kaiwen Wu
Allen Wang
Yaoliang Yu
AAML
181
39
0
06 Aug 2020
Adversarial Examples and Metrics
Nico Döttling
Kathrin Grosse
Michael Backes
Ian Molloy
AAML
118
0
0
14 Jul 2020
Neural Network Virtual Sensors for Fuel Injection Quantities with Provable Performance Specifications
Eric Wong
Tim Schneider
Joerg Schmitt
Frank R. Schmidt
J. Zico Kolter
AAML
195
11
0
30 Jun 2020
Deep Partition Aggregation: Provable Defense against General Poisoning Attacks
Alexander Levine
Soheil Feizi
AAML
193
162
0
26 Jun 2020
Backdoor Smoothing: Demystifying Backdoor Attacks on Deep Neural Networks
Computers & security (CS), 2020
Kathrin Grosse
Taesung Lee
Battista Biggio
Youngja Park
Michael Backes
Ian Molloy
AAML
169
13
0
11 Jun 2020
Second-Order Provable Defenses against Adversarial Attacks
International Conference on Machine Learning (ICML), 2020
Sahil Singla
Soheil Feizi
AAML
177
63
0
01 Jun 2020
Improved Image Wasserstein Attacks and Defenses
J. E. Hu
Adith Swaminathan
Hadi Salman
Greg Yang
AAML
OOD
178
11
0
26 Apr 2020
(De)Randomized Smoothing for Certifiable Defense against Patch Attacks
Neural Information Processing Systems (NeurIPS), 2020
Alexander Levine
Soheil Feizi
AAML
260
174
0
25 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
447
228
0
19 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
208
102
0
08 Feb 2020
1
