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Adversarial Robustness: Softmax versus Openmax

Adversarial Robustness: Softmax versus Openmax

5 August 2017
Andras Rozsa
Manuel Günther
Terrance E. Boult
    AAML
ArXiv (abs)PDFHTML

Papers citing "Adversarial Robustness: Softmax versus Openmax"

16 / 16 papers shown
Title
Adversarial Threats to Automatic Modulation Open Set Recognition in
  Wireless Networks
Adversarial Threats to Automatic Modulation Open Set Recognition in Wireless NetworksGlobal Communications Conference (GLOBECOM), 2024
Yandie Yang
Sicheng Zhang
Kuixian Li
Qiao Tian
Yun Lin
AAML
215
1
0
08 May 2024
A Survey on Out-of-Distribution Detection in NLP
A Survey on Out-of-Distribution Detection in NLP
Hao Lang
Yinhe Zheng
Shouqing Yang
Jian Sun
Feiling Huang
Yongbin Li
295
34
0
05 May 2023
A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution
  Detection: Solutions and Future Challenges
A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future Challenges
Mohammadreza Salehi
Hossein Mirzaei
Dan Hendrycks
Shouqing Yang
M. Rohban
Mohammad Sabokrou
OOD
604
221
0
26 Oct 2021
Generalized Out-of-Distribution Detection: A Survey
Generalized Out-of-Distribution Detection: A SurveyInternational Journal of Computer Vision (IJCV), 2021
Jingkang Yang
Kaiyang Zhou
Shouqing Yang
Ziwei Liu
696
1,192
0
21 Oct 2021
A Survey on Open Set Recognition
A Survey on Open Set Recognition
Atefeh Mahdavi
Marco M. Carvalho
BDL
121
44
0
18 Aug 2021
Adversarial Motorial Prototype Framework for Open Set Recognition
Adversarial Motorial Prototype Framework for Open Set Recognition
Ziheng Xia
Penghui Wang
Ganggang Dong
Hongwei Liu
98
9
0
13 Jul 2021
Explainable Adversarial Attacks in Deep Neural Networks Using Activation
  Profiles
Explainable Adversarial Attacks in Deep Neural Networks Using Activation Profiles
G. Cantareira
R. Mello
F. Paulovich
AAML
130
10
0
18 Mar 2021
Adversarial Reciprocal Points Learning for Open Set Recognition
Adversarial Reciprocal Points Learning for Open Set RecognitionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Guangyao Chen
Peixi Peng
Xiangqian Wang
Yonghong Tian
566
377
0
01 Mar 2021
MMF: A loss extension for feature learning in open set recognition
MMF: A loss extension for feature learning in open set recognition
Jingyun Jia
P. Chan
103
10
0
26 Jun 2020
Adversarial Attack on Deep Learning-Based Splice Localization
Adversarial Attack on Deep Learning-Based Splice Localization
Andras Rozsa
Zheng Zhong
Terrance E. Boult
AAML
126
6
0
17 Apr 2020
Hybrid Models for Open Set Recognition
Hybrid Models for Open Set RecognitionEuropean Conference on Computer Vision (ECCV), 2020
Hongjie Zhang
Ang Li
Jie Guo
Yanwen Guo
BDL
352
204
0
27 Mar 2020
Utilizing Network Properties to Detect Erroneous Inputs
Utilizing Network Properties to Detect Erroneous Inputs
Matt Gorbett
Nathaniel Blanchard
AAML
175
7
0
28 Feb 2020
Radial Prediction Layer
Radial Prediction Layer
Christian Herta
Benjamin Voigt
77
1
0
27 May 2019
Disentangling Adversarial Robustness and Generalization
Disentangling Adversarial Robustness and Generalization
David Stutz
Matthias Hein
Bernt Schiele
AAMLOOD
564
301
0
03 Dec 2018
Recent Advances in Open Set Recognition: A Survey
Recent Advances in Open Set Recognition: A SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018
Chuanxing Geng
Sheng-Jun Huang
Songcan Chen
BDLObjD
417
894
0
21 Nov 2018
Collective decision for open set recognition
Collective decision for open set recognitionIEEE Transactions on Knowledge and Data Engineering (TKDE), 2018
Chuanxing Geng
Songcan Chen
BDL
229
49
0
29 Jun 2018
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