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1806.01471
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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"
42 / 42 papers shown
Strategic Classification with Non-Linear Classifiers
Benyamin Trachtenberg
Nir Rosenfeld
144
1
0
29 May 2025
On the Computability of Robust PAC Learning
Annual Conference Computational Learning Theory (COLT), 2024
Pascale Gourdeau
Tosca Lechner
Ruth Urner
363
5
0
14 Jun 2024
Uniformly Stable Algorithms for Adversarial Training and Beyond
International Conference on Machine Learning (ICML), 2024
Jiancong Xiao
Jiawei Zhang
Zhimin Luo
Asuman Ozdaglar
AAML
215
2
0
03 May 2024
Robust optimization for adversarial learning with finite sample complexity guarantees
IEEE Conference on Decision and Control (CDC), 2024
André Bertolace
Konstatinos Gatsis
Kostas Margellos
AAML
151
1
0
22 Mar 2024
On robust overfitting: adversarial training induced distribution matters
Runzhi Tian
Yongyi Mao
OOD
288
1
0
28 Nov 2023
Probably Approximately Correct Federated Learning
Xiaojin Zhang
Anbu Huang
Lixin Fan
Kai Chen
Qiang Yang
FedML
360
5
0
10 Apr 2023
It Is All About Data: A Survey on the Effects of Data on Adversarial Robustness
ACM Computing Surveys (ACM Comput. Surv.), 2023
Peiyu Xiong
Michael W. Tegegn
Jaskeerat Singh Sarin
Shubhraneel Pal
Julia Rubin
SILM
AAML
370
16
0
17 Mar 2023
Adversarial Rademacher Complexity of Deep Neural Networks
Jiancong Xiao
Yanbo Fan
Tian Ding
Zhimin Luo
AAML
149
26
0
27 Nov 2022
When are Local Queries Useful for Robust Learning?
Neural Information Processing Systems (NeurIPS), 2022
Pascale Gourdeau
Varun Kanade
Marta Z. Kwiatkowska
J. Worrell
OOD
359
1
0
12 Oct 2022
Formulating Robustness Against Unforeseen Attacks
Neural Information Processing Systems (NeurIPS), 2022
Sihui Dai
Saeed Mahloujifar
Prateek Mittal
OOD
AAML
344
9
0
28 Apr 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
A Law of Robustness beyond Isoperimetry
International Conference on Machine Learning (ICML), 2022
Yihan Wu
Heng Huang
Hongyang R. Zhang
OOD
175
7
0
23 Feb 2022
Probabilistically Robust Learning: Balancing Average- and Worst-case Performance
International Conference on Machine Learning (ICML), 2022
Avi Schwarzschild
Luiz F. O. Chamon
George J. Pappas
Hamed Hassani
AAML
OOD
391
49
0
02 Feb 2022
Benign Overfitting in Adversarially Robust Linear Classification
Conference on Uncertainty in Artificial Intelligence (UAI), 2021
Jinghui Chen
Yuan Cao
Quanquan Gu
AAML
SILM
202
11
0
31 Dec 2021
On the Existence of the Adversarial Bayes Classifier (Extended Version)
Pranjal Awasthi
Natalie Frank
M. Mohri
415
28
0
03 Dec 2021
Adversarial Robustness with Semi-Infinite Constrained Learning
Neural Information Processing Systems (NeurIPS), 2021
Avi Schwarzschild
Luiz F. O. Chamon
George J. Pappas
Hamed Hassani
Alejandro Ribeiro
AAML
OOD
297
49
0
29 Oct 2021
Probabilistic Margins for Instance Reweighting in Adversarial Training
Neural Information Processing Systems (NeurIPS), 2021
Qizhou Wang
Yifan Zhang
Bo Han
Tongliang Liu
Chen Gong
Gang Niu
Mingyuan Zhou
Masashi Sugiyama
AAML
203
74
0
15 Jun 2021
Calibration and Consistency of Adversarial Surrogate Losses
Neural Information Processing Systems (NeurIPS), 2021
Pranjal Awasthi
Natalie Frank
Anqi Mao
M. Mohri
Yutao Zhong
AAML
207
56
0
19 Apr 2021
Provable Robustness of Adversarial Training for Learning Halfspaces with Noise
International Conference on Machine Learning (ICML), 2021
Difan Zou
Spencer Frei
Quanquan Gu
163
14
0
19 Apr 2021
Understanding Generalization in Adversarial Training via the Bias-Variance Decomposition
Yaodong Yu
Zitong Yang
Guang Cheng
Jacob Steinhardt
Yi-An Ma
266
19
0
17 Mar 2021
Recent Advances in Adversarial Training for Adversarial Robustness
International Joint Conference on Artificial Intelligence (IJCAI), 2021
Tao Bai
Jinqi Luo
Jun Zhao
Bihan Wen
Qian Wang
AAML
505
576
0
02 Feb 2021
With False Friends Like These, Who Can Notice Mistakes?
AAAI Conference on Artificial Intelligence (AAAI), 2020
Lue Tao
Lei Feng
Jinfeng Yi
Songcan Chen
AAML
358
6
0
29 Dec 2020
Towards Understanding the Regularization of Adversarial Robustness on Neural Networks
International Conference on Machine Learning (ICML), 2020
Yuxin Wen
Shuai Li
Kui Jia
AAML
139
25
0
15 Nov 2020
Query complexity of adversarial attacks
International Conference on Machine Learning (ICML), 2020
Grzegorz Gluch
R. Urbanke
AAML
206
7
0
02 Oct 2020
Learning to Learn from Mistakes: Robust Optimization for Adversarial Noise
International Conference on Artificial Neural Networks (ICANN), 2020
A. Serban
E. Poll
Joost Visser
AAML
187
1
0
12 Aug 2020
Adversarial Examples on Object Recognition: A Comprehensive Survey
ACM Computing Surveys (ACM CSUR), 2020
A. Serban
E. Poll
Joost Visser
AAML
417
80
0
07 Aug 2020
Provable tradeoffs in adversarially robust classification
Guang Cheng
Hamed Hassani
David Hong
Avi Schwarzschild
500
58
0
09 Jun 2020
Towards Deep Learning Models Resistant to Large Perturbations
Amirreza Shaeiri
Rozhin Nobahari
M. Rohban
OOD
AAML
183
14
0
30 Mar 2020
Adversarial VC-dimension and Sample Complexity of Neural Networks
Zetong Qi
T. J. Wilder
AAML
73
0
0
18 Dec 2019
Adversarially Robust Low Dimensional Representations
Annual Conference Computational Learning Theory (COLT), 2019
Pranjal Awasthi
Vaggos Chatziafratis
Xue Chen
Aravindan Vijayaraghavan
AAML
OOD
350
12
0
29 Nov 2019
On Robustness to Adversarial Examples and Polynomial Optimization
Neural Information Processing Systems (NeurIPS), 2019
Pranjal Awasthi
Abhratanu Dutta
Aravindan Vijayaraghavan
OOD
AAML
180
34
0
12 Nov 2019
The Adversarial Robustness of Sampling
IACR Cryptology ePrint Archive (IACR ePrint), 2019
Omri Ben-Eliezer
E. Yogev
TTA
AAML
147
54
0
26 Jun 2019
Lower Bounds for Adversarially Robust PAC Learning
International Conference on Machine Learning and Applications (ICMLA), 2019
Dimitrios I. Diochnos
Saeed Mahloujifar
Mohammad Mahmoody
AAML
220
27
0
13 Jun 2019
Adversarial Risk Bounds for Neural Networks through Sparsity based Compression
E. Balda
Arash Behboodi
Niklas Koep
R. Mathar
AAML
165
9
0
03 Jun 2019
Adversarially Robust Generalization Just Requires More Unlabeled Data
Runtian Zhai
Tianle Cai
Di He
Chen Dan
Kun He
John E. Hopcroft
Liwei Wang
237
160
0
03 Jun 2019
Robustness to Adversarial Perturbations in Learning from Incomplete Data
Neural Information Processing Systems (NeurIPS), 2019
Amir Najafi
S. Maeda
Masanori Koyama
Takeru Miyato
OOD
207
135
0
24 May 2019
VC Classes are Adversarially Robustly Learnable, but Only Improperly
Annual Conference Computational Learning Theory (COLT), 2019
Omar Montasser
Steve Hanneke
Nathan Srebro
254
145
0
12 Feb 2019
The Limitations of Adversarial Training and the Blind-Spot Attack
Huan Zhang
Hongge Chen
Zhao Song
Duane S. Boning
Inderjit S. Dhillon
Cho-Jui Hsieh
AAML
197
154
0
15 Jan 2019
Theoretical Analysis of Adversarial Learning: A Minimax Approach
Zhuozhuo Tu
Jingwei Zhang
Dacheng Tao
AAML
166
71
0
13 Nov 2018
Rademacher Complexity for Adversarially Robust Generalization
Dong Yin
Kannan Ramchandran
Peter L. Bartlett
AAML
391
279
0
29 Oct 2018
Adversarial Examples - A Complete Characterisation of the Phenomenon
A. Serban
E. Poll
Joost Visser
SILM
AAML
236
49
0
02 Oct 2018
DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker
Matej Moravcík
Martin Schmid
Neil Burch
Viliam Lisý
Dustin Morrill
Nolan Bard
Trevor Davis
Kevin Waugh
Michael Bradley Johanson
Michael Bowling
BDL
568
962
0
06 Jan 2017
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