ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1808.08282
  4. Cited By
Controlling Over-generalization and its Effect on Adversarial Examples
  Generation and Detection

Controlling Over-generalization and its Effect on Adversarial Examples Generation and Detection

21 August 2018
Mahdieh Abbasi
Arezoo Rajabi
A. Mozafari
R. Bobba
Christian Gagné
    AAML
ArXivPDFHTML

Papers citing "Controlling Over-generalization and its Effect on Adversarial Examples Generation and Detection"

28 / 28 papers shown
Title
Training Confidence-calibrated Classifiers for Detecting
  Out-of-Distribution Samples
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples
Kimin Lee
Honglak Lee
Kibok Lee
Jinwoo Shin
OODD
91
880
0
26 Nov 2017
Denoising Autoencoders for Overgeneralization in Neural Networks
Denoising Autoencoders for Overgeneralization in Neural Networks
G. Spigler
UQCV
AI4CE
19
26
0
14 Sep 2017
A Downsampled Variant of ImageNet as an Alternative to the CIFAR
  datasets
A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets
P. Chrabaszcz
I. Loshchilov
Frank Hutter
SSeg
OOD
86
640
0
27 Jul 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
SILM
OOD
203
11,962
0
19 Jun 2017
Enhancing The Reliability of Out-of-distribution Image Detection in
  Neural Networks
Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks
Shiyu Liang
Yixuan Li
R. Srikant
UQCV
OODD
88
2,046
0
08 Jun 2017
Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection
  Methods
Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods
Nicholas Carlini
D. Wagner
AAML
98
1,851
0
20 May 2017
Ensemble Adversarial Training: Attacks and Defenses
Ensemble Adversarial Training: Attacks and Defenses
Florian Tramèr
Alexey Kurakin
Nicolas Papernot
Ian Goodfellow
Dan Boneh
Patrick McDaniel
AAML
162
2,712
0
19 May 2017
Detecting Adversarial Samples from Artifacts
Detecting Adversarial Samples from Artifacts
Reuben Feinman
Ryan R. Curtin
S. Shintre
Andrew B. Gardner
AAML
69
892
0
01 Mar 2017
Robustness to Adversarial Examples through an Ensemble of Specialists
Robustness to Adversarial Examples through an Ensemble of Specialists
Mahdieh Abbasi
Christian Gagné
AAML
40
109
0
22 Feb 2017
On the (Statistical) Detection of Adversarial Examples
On the (Statistical) Detection of Adversarial Examples
Kathrin Grosse
Praveen Manoharan
Nicolas Papernot
Michael Backes
Patrick McDaniel
AAML
56
710
0
21 Feb 2017
On Detecting Adversarial Perturbations
On Detecting Adversarial Perturbations
J. H. Metzen
Tim Genewein
Volker Fischer
Bastian Bischoff
AAML
49
947
0
14 Feb 2017
Adversarial Examples Detection in Deep Networks with Convolutional
  Filter Statistics
Adversarial Examples Detection in Deep Networks with Convolutional Filter Statistics
Xin Li
Fuxin Li
GAN
AAML
74
364
0
22 Dec 2016
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
458
5,748
0
05 Dec 2016
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
443
3,124
0
04 Nov 2016
A Baseline for Detecting Misclassified and Out-of-Distribution Examples
  in Neural Networks
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
Dan Hendrycks
Kevin Gimpel
UQCV
88
3,420
0
07 Oct 2016
Towards Evaluating the Robustness of Neural Networks
Towards Evaluating the Robustness of Neural Networks
Nicholas Carlini
D. Wagner
OOD
AAML
151
8,497
0
16 Aug 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
480
5,868
0
08 Jul 2016
Adversarial Diversity and Hard Positive Generation
Adversarial Diversity and Hard Positive Generation
Andras Rozsa
Ethan M. Rudd
Terrance E. Boult
36
256
0
05 May 2016
Identity Mappings in Deep Residual Networks
Identity Mappings in Deep Residual Networks
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
264
10,149
0
16 Mar 2016
Practical Black-Box Attacks against Machine Learning
Practical Black-Box Attacks against Machine Learning
Nicolas Papernot
Patrick McDaniel
Ian Goodfellow
S. Jha
Z. Berkay Celik
A. Swami
MLAU
AAML
38
3,656
0
08 Feb 2016
Towards Open Set Deep Networks
Towards Open Set Deep Networks
Abhijit Bendale
Terrance Boult
BDL
EDL
79
1,412
0
19 Nov 2015
DeepFool: a simple and accurate method to fool deep neural networks
DeepFool: a simple and accurate method to fool deep neural networks
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
P. Frossard
AAML
90
4,878
0
14 Nov 2015
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
148
18,922
0
20 Dec 2014
Deep Visual-Semantic Alignments for Generating Image Descriptions
Deep Visual-Semantic Alignments for Generating Image Descriptions
A. Karpathy
Li Fei-Fei
51
5,569
0
07 Dec 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
269
43,511
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
FAtt
MDE
761
99,991
0
04 Sep 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
150
14,831
1
21 Dec 2013
Better Mixing via Deep Representations
Better Mixing via Deep Representations
Yoshua Bengio
Grégoire Mesnil
Yann N. Dauphin
Salah Rifai
46
339
0
18 Jul 2012
1