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Heating up decision boundaries: isocapacitory saturation, adversarial
  scenarios and generalization bounds

Heating up decision boundaries: isocapacitory saturation, adversarial scenarios and generalization bounds

15 January 2021
B. Georgiev
L. Franken
Mayukh Mukherjee
    AAML
ArXiv (abs)PDFHTML

Papers citing "Heating up decision boundaries: isocapacitory saturation, adversarial scenarios and generalization bounds"

15 / 15 papers shown
Title
Fast is better than free: Revisiting adversarial training
Fast is better than free: Revisiting adversarial training
Eric Wong
Leslie Rice
J. Zico Kolter
AAMLOOD
138
1,179
0
12 Jan 2020
Characterizing the Decision Boundary of Deep Neural Networks
Characterizing the Decision Boundary of Deep Neural Networks
Hamid Karimi
Hanyu Wang
Jiliang Tang
51
67
0
24 Dec 2019
Compression based bound for non-compressed network: unified
  generalization error analysis of large compressible deep neural network
Compression based bound for non-compressed network: unified generalization error analysis of large compressible deep neural network
Taiji Suzuki
Hiroshi Abe
Tomoaki Nishimura
AI4CE
48
44
0
25 Sep 2019
MNIST-C: A Robustness Benchmark for Computer Vision
MNIST-C: A Robustness Benchmark for Computer Vision
Norman Mu
Justin Gilmer
54
212
0
05 Jun 2019
AutoAugment: Learning Augmentation Policies from Data
AutoAugment: Learning Augmentation Policies from Data
E. D. Cubuk
Barret Zoph
Dandelion Mané
Vijay Vasudevan
Quoc V. Le
131
1,772
0
24 May 2018
Stronger generalization bounds for deep nets via a compression approach
Stronger generalization bounds for deep nets via a compression approach
Sanjeev Arora
Rong Ge
Behnam Neyshabur
Yi Zhang
MLTAI4CE
86
642
0
14 Feb 2018
Size-Independent Sample Complexity of Neural Networks
Size-Independent Sample Complexity of Neural Networks
Noah Golowich
Alexander Rakhlin
Ohad Shamir
154
547
0
18 Dec 2017
Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning
Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning
Battista Biggio
Fabio Roli
AAML
128
1,409
0
08 Dec 2017
A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for
  Neural Networks
A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for Neural Networks
Behnam Neyshabur
Srinadh Bhojanapalli
Nathan Srebro
83
609
0
29 Jul 2017
Spectrally-normalized margin bounds for neural networks
Spectrally-normalized margin bounds for neural networks
Peter L. Bartlett
Dylan J. Foster
Matus Telgarsky
ODL
205
1,220
0
26 Jun 2017
Towards Deep Learning Models Resistant to Adversarial Attacks
Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry
Aleksandar Makelov
Ludwig Schmidt
Dimitris Tsipras
Adrian Vladu
SILMOOD
307
12,069
0
19 Jun 2017
Towards Evaluating the Robustness of Neural Networks
Towards Evaluating the Robustness of Neural Networks
Nicholas Carlini
D. Wagner
OODAAML
266
8,555
0
16 Aug 2016
Wide Residual Networks
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
340
7,985
0
23 May 2016
Norm-Based Capacity Control in Neural Networks
Norm-Based Capacity Control in Neural Networks
Behnam Neyshabur
Ryota Tomioka
Nathan Srebro
290
588
0
27 Feb 2015
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
275
14,927
1
21 Dec 2013
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