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Sample Complexity of Adversarially Robust Linear Classification on
  Separated Data

Sample Complexity of Adversarially Robust Linear Classification on Separated Data

19 December 2020
Robi Bhattacharjee
S. Jha
Kamalika Chaudhuri
ArXivPDFHTML

Papers citing "Sample Complexity of Adversarially Robust Linear Classification on Separated Data"

11 / 11 papers shown
Title
The Complexity of Adversarially Robust Proper Learning of Halfspaces
  with Agnostic Noise
The Complexity of Adversarially Robust Proper Learning of Halfspaces with Agnostic Noise
Ilias Diakonikolas
D. Kane
Pasin Manurangsi
62
20
0
30 Jul 2020
Provable tradeoffs in adversarially robust classification
Provable tradeoffs in adversarially robust classification
Yan Sun
Hamed Hassani
David Hong
Alexander Robey
48
56
0
09 Jun 2020
When are Non-Parametric Methods Robust?
When are Non-Parametric Methods Robust?
Robi Bhattacharjee
Kamalika Chaudhuri
AAML
66
27
0
13 Mar 2020
Understanding and Mitigating the Tradeoff Between Robustness and
  Accuracy
Understanding and Mitigating the Tradeoff Between Robustness and Accuracy
Aditi Raghunathan
Sang Michael Xie
Fanny Yang
John C. Duchi
Percy Liang
AAML
82
228
0
25 Feb 2020
Lower Bounds on Adversarial Robustness from Optimal Transport
Lower Bounds on Adversarial Robustness from Optimal Transport
A. Bhagoji
Daniel Cullina
Prateek Mittal
OOD
OT
AAML
58
92
0
26 Sep 2019
Robustness May Be at Odds with Accuracy
Robustness May Be at Odds with Accuracy
Dimitris Tsipras
Shibani Santurkar
Logan Engstrom
Alexander Turner
Aleksander Madry
AAML
93
1,776
0
30 May 2018
Adversarially Robust Generalization Requires More Data
Adversarially Robust Generalization Requires More Data
Ludwig Schmidt
Shibani Santurkar
Dimitris Tsipras
Kunal Talwar
Aleksander Madry
OOD
AAML
131
789
0
30 Apr 2018
Towards Proving the Adversarial Robustness of Deep Neural Networks
Towards Proving the Adversarial Robustness of Deep Neural Networks
Guy Katz
Clark W. Barrett
D. Dill
Kyle D. Julian
Mykel J. Kochenderfer
AAML
OOD
51
118
0
08 Sep 2017
Delving into Transferable Adversarial Examples and Black-box Attacks
Delving into Transferable Adversarial Examples and Black-box Attacks
Yanpei Liu
Xinyun Chen
Chang-rui Liu
D. Song
AAML
133
1,731
0
08 Nov 2016
Towards Evaluating the Robustness of Neural Networks
Towards Evaluating the Robustness of Neural Networks
Nicholas Carlini
D. Wagner
OOD
AAML
220
8,533
0
16 Aug 2016
Intriguing properties of neural networks
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
233
14,893
1
21 Dec 2013
1