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1806.01471
Cited By
PAC-learning in the presence of evasion adversaries
5 June 2018
Daniel Cullina
A. Bhagoji
Prateek Mittal
AAML
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Papers citing
"PAC-learning in the presence of evasion adversaries"
17 / 17 papers shown
Title
Uniformly Stable Algorithms for Adversarial Training and Beyond
Jiancong Xiao
Jiawei Zhang
Zhimin Luo
Asuman Ozdaglar
AAML
48
0
0
03 May 2024
It Is All About Data: A Survey on the Effects of Data on Adversarial Robustness
Peiyu Xiong
Michael W. Tegegn
Jaskeerat Singh Sarin
Shubhraneel Pal
Julia Rubin
SILM
AAML
32
8
0
17 Mar 2023
Adversarial Rademacher Complexity of Deep Neural Networks
Jiancong Xiao
Yanbo Fan
Ruoyu Sun
Zhimin Luo
AAML
17
22
0
27 Nov 2022
When are Local Queries Useful for Robust Learning?
Pascale Gourdeau
Varun Kanade
Marta Z. Kwiatkowska
J. Worrell
OOD
37
1
0
12 Oct 2022
Adversarial robustness of sparse local Lipschitz predictors
Ramchandran Muthukumar
Jeremias Sulam
AAML
32
13
0
26 Feb 2022
Benign Overfitting in Adversarially Robust Linear Classification
Jinghui Chen
Yuan Cao
Quanquan Gu
AAML
SILM
34
10
0
31 Dec 2021
On the Existence of the Adversarial Bayes Classifier (Extended Version)
Pranjal Awasthi
Natalie Frank
M. Mohri
31
24
0
03 Dec 2021
Query complexity of adversarial attacks
Grzegorz Gluch
R. Urbanke
AAML
19
5
0
02 Oct 2020
Adversarial Examples on Object Recognition: A Comprehensive Survey
A. Serban
E. Poll
Joost Visser
AAML
27
73
0
07 Aug 2020
Provable tradeoffs in adversarially robust classification
Yan Sun
Hamed Hassani
David Hong
Alexander Robey
23
53
0
09 Jun 2020
The Adversarial Robustness of Sampling
Omri Ben-Eliezer
E. Yogev
TTA
AAML
26
45
0
26 Jun 2019
Lower Bounds for Adversarially Robust PAC Learning
Dimitrios I. Diochnos
Saeed Mahloujifar
Mohammad Mahmoody
AAML
24
26
0
13 Jun 2019
Robustness to Adversarial Perturbations in Learning from Incomplete Data
Amir Najafi
S. Maeda
Masanori Koyama
Takeru Miyato
OOD
18
129
0
24 May 2019
Theoretical Analysis of Adversarial Learning: A Minimax Approach
Zhuozhuo Tu
Jingwei Zhang
Dacheng Tao
AAML
15
68
0
13 Nov 2018
ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector
Shang-Tse Chen
Cory Cornelius
Jason Martin
Duen Horng Chau
ObjD
162
424
0
16 Apr 2018
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
43
224
0
19 Feb 2018
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
287
5,842
0
08 Jul 2016
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