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Adversarial Diversity and Hard Positive Generation
v1v2 (latest)

Adversarial Diversity and Hard Positive Generation

5 May 2016
Andras Rozsa
Ethan M. Rudd
Terrance E. Boult
ArXiv (abs)PDFHTML

Papers citing "Adversarial Diversity and Hard Positive Generation"

12 / 12 papers shown
Title
Mitigating Adversarial Effects of False Data Injection Attacks in Power Grid
Mitigating Adversarial Effects of False Data Injection Attacks in Power Grid
Farhin Farhad Riya
Shahinul Hoque
Jinyuan Stella Sun
Jiangnan Li
Hairong Qi
Hairong Qi
AAMLAI4CE
69
0
0
29 Jan 2023
ConAML: Constrained Adversarial Machine Learning for Cyber-Physical
  Systems
ConAML: Constrained Adversarial Machine Learning for Cyber-Physical Systems
Jiangnan Li
Yingyuan Yang
Jinyuan Stella Sun
K. Tomsovic
Jin Young Lee
AAML
88
54
0
12 Mar 2020
Robustness to Adversarial Examples through an Ensemble of Specialists
Robustness to Adversarial Examples through an Ensemble of Specialists
Mahdieh Abbasi
Christian Gagné
AAML
79
109
0
22 Feb 2017
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,322
0
10 Dec 2015
Adversarial Manipulation of Deep Representations
Adversarial Manipulation of Deep Representations
S. Sabour
Yanshuai Cao
Fartash Faghri
David J. Fleet
GANAAML
73
286
0
16 Nov 2015
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAMLGAN
280
19,107
0
20 Dec 2014
Understanding Deep Image Representations by Inverting Them
Understanding Deep Image Representations by Inverting Them
Aravindh Mahendran
Andrea Vedaldi
FAtt
126
1,965
0
26 Nov 2014
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
477
43,685
0
17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.7K
100,479
0
04 Sep 2014
Learning Deep Structured Models
Learning Deep Structured Models
Liang-Chieh Chen
Alex Schwing
Alan Yuille
R. Urtasun
BDL
95
247
0
09 Jul 2014
Caffe: Convolutional Architecture for Fast Feature Embedding
Caffe: Convolutional Architecture for Fast Feature Embedding
Yangqing Jia
Evan Shelhamer
Jeff Donahue
Sergey Karayev
Jonathan Long
Ross B. Girshick
S. Guadarrama
Trevor Darrell
VLMBDL3DV
274
14,711
0
20 Jun 2014
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
277
14,927
1
21 Dec 2013
1