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Lower Bounds on Adversarial Robustness from Optimal Transport

Lower Bounds on Adversarial Robustness from Optimal Transport

26 September 2019
A. Bhagoji
Daniel Cullina
Prateek Mittal
    OOD
    OT
    AAML
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Papers citing "Lower Bounds on Adversarial Robustness from Optimal Transport"

27 / 27 papers shown
Title
Spectral regularization for adversarially-robust representation learning
Spectral regularization for adversarially-robust representation learning
Sheng Yang
Jacob A. Zavatone-Veth
C. Pehlevan
AAML
OOD
41
0
0
27 May 2024
A Notion of Uniqueness for the Adversarial Bayes Classifier
A Notion of Uniqueness for the Adversarial Bayes Classifier
Natalie S. Frank
32
1
0
25 Apr 2024
Adversarial Examples Might be Avoidable: The Role of Data Concentration
  in Adversarial Robustness
Adversarial Examples Might be Avoidable: The Role of Data Concentration in Adversarial Robustness
Ambar Pal
Huaijin Hao
René Vidal
26
8
0
28 Sep 2023
Characterizing the Optimal 0-1 Loss for Multi-class Classification with
  a Test-time Attacker
Characterizing the Optimal 0-1 Loss for Multi-class Classification with a Test-time Attacker
Sihui Dai
Wen-Luan Ding
A. Bhagoji
Daniel Cullina
Ben Y. Zhao
Haitao Zheng
Prateek Mittal
AAML
27
2
0
21 Feb 2023
On adversarial robustness and the use of Wasserstein ascent-descent
  dynamics to enforce it
On adversarial robustness and the use of Wasserstein ascent-descent dynamics to enforce it
Camilo A. Garcia Trillos
Nicolas García Trillos
16
5
0
09 Jan 2023
Gamma-convergence of a nonlocal perimeter arising in adversarial machine
  learning
Gamma-convergence of a nonlocal perimeter arising in adversarial machine learning
Leon Bungert
Kerrek Stinson
24
12
0
28 Nov 2022
SynBench: Task-Agnostic Benchmarking of Pretrained Representations using
  Synthetic Data
SynBench: Task-Agnostic Benchmarking of Pretrained Representations using Synthetic Data
Ching-Yun Ko
Pin-Yu Chen
Jeet Mohapatra
Payel Das
Lucani E. Daniel
19
3
0
06 Oct 2022
Why Robust Generalization in Deep Learning is Difficult: Perspective of
  Expressive Power
Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power
Binghui Li
Jikai Jin
Han Zhong
J. Hopcroft
Liwei Wang
OOD
74
27
0
27 May 2022
Sample Complexity Bounds for Robustly Learning Decision Lists against
  Evasion Attacks
Sample Complexity Bounds for Robustly Learning Decision Lists against Evasion Attacks
Pascale Gourdeau
Varun Kanade
Marta Z. Kwiatkowska
J. Worrell
AAML
13
5
0
12 May 2022
The Multimarginal Optimal Transport Formulation of Adversarial
  Multiclass Classification
The Multimarginal Optimal Transport Formulation of Adversarial Multiclass Classification
Nicolas García Trillos
Matt Jacobs
Jakwang Kim
OT
14
23
0
27 Apr 2022
On the Existence of the Adversarial Bayes Classifier (Extended Version)
On the Existence of the Adversarial Bayes Classifier (Extended Version)
Pranjal Awasthi
Natalie Frank
M. Mohri
21
24
0
03 Dec 2021
The Geometry of Adversarial Training in Binary Classification
The Geometry of Adversarial Training in Binary Classification
Leon Bungert
Nicolas García Trillos
Ryan W. Murray
AAML
22
22
0
26 Nov 2021
Improving Robustness using Generated Data
Improving Robustness using Generated Data
Sven Gowal
Sylvestre-Alvise Rebuffi
Olivia Wiles
Florian Stimberg
D. A. Calian
Timothy A. Mann
22
293
0
18 Oct 2021
Mixed Nash Equilibria in the Adversarial Examples Game
Mixed Nash Equilibria in the Adversarial Examples Game
Laurent Meunier
M. Scetbon
Rafael Pinot
Jamal Atif
Y. Chevaleyre
AAML
15
29
0
13 Feb 2021
Adversarial Classification: Necessary conditions and geometric flows
Adversarial Classification: Necessary conditions and geometric flows
Nicolas García Trillos
Ryan W. Murray
AAML
17
19
0
21 Nov 2020
Adversarially Robust Classification based on GLRT
Adversarially Robust Classification based on GLRT
Bhagyashree Puranik
Upamanyu Madhow
Ramtin Pedarsani
VLM
AAML
6
4
0
16 Nov 2020
Recent Advances in Understanding Adversarial Robustness of Deep Neural
  Networks
Recent Advances in Understanding Adversarial Robustness of Deep Neural Networks
Tao Bai
Jinqi Luo
Jun Zhao
AAML
41
8
0
03 Nov 2020
A Le Cam Type Bound for Adversarial Learning and Applications
A Le Cam Type Bound for Adversarial Learning and Applications
Qiuling Xu
Kevin Bello
Jean Honorio
AAML
16
1
0
01 Jul 2020
Sharp Statistical Guarantees for Adversarially Robust Gaussian
  Classification
Sharp Statistical Guarantees for Adversarially Robust Gaussian Classification
Chen Dan
Yuting Wei
Pradeep Ravikumar
24
45
0
29 Jun 2020
PatchGuard: A Provably Robust Defense against Adversarial Patches via
  Small Receptive Fields and Masking
PatchGuard: A Provably Robust Defense against Adversarial Patches via Small Receptive Fields and Masking
Chong Xiang
A. Bhagoji
Vikash Sehwag
Prateek Mittal
AAML
22
29
0
17 May 2020
The Curious Case of Adversarially Robust Models: More Data Can Help,
  Double Descend, or Hurt Generalization
The Curious Case of Adversarially Robust Models: More Data Can Help, Double Descend, or Hurt Generalization
Yifei Min
Lin Chen
Amin Karbasi
AAML
26
69
0
25 Feb 2020
More Data Can Expand the Generalization Gap Between Adversarially Robust
  and Standard Models
More Data Can Expand the Generalization Gap Between Adversarially Robust and Standard Models
Lin Chen
Yifei Min
Mingrui Zhang
Amin Karbasi
OOD
27
64
0
11 Feb 2020
Analyzing Federated Learning through an Adversarial Lens
Analyzing Federated Learning through an Adversarial Lens
A. Bhagoji
Supriyo Chakraborty
Prateek Mittal
S. Calo
FedML
179
1,032
0
29 Nov 2018
Adversarial examples from computational constraints
Adversarial examples from computational constraints
Sébastien Bubeck
Eric Price
Ilya P. Razenshteyn
AAML
62
230
0
25 May 2018
ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object
  Detector
ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector
Shang-Tse Chen
Cory Cornelius
Jason Martin
Duen Horng Chau
ObjD
148
424
0
16 Apr 2018
Shield: Fast, Practical Defense and Vaccination for Deep Learning using
  JPEG Compression
Shield: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression
Nilaksh Das
Madhuri Shanbhogue
Shang-Tse Chen
Fred Hohman
Siwei Li
Li-Wei Chen
Michael E. Kounavis
Duen Horng Chau
FedML
AAML
38
224
0
19 Feb 2018
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
281
5,835
0
08 Jul 2016
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