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Improving Adversarial Robustness via Guided Complement Entropy

Improving Adversarial Robustness via Guided Complement Entropy

23 March 2019
Hao-Yun Chen
Jhao-Hong Liang
Shih-Chieh Chang
Jia Pan
Yu-Ting Chen
Wei Wei
Da-Cheng Juan
    AAML
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Papers citing "Improving Adversarial Robustness via Guided Complement Entropy"

10 / 10 papers shown
Title
Adversarial Attacks and Defences for Skin Cancer Classification
Adversarial Attacks and Defences for Skin Cancer Classification
Vinay Jogani
J. Purohit
Ishaan Shivhare
Samina Attari
S. Shrawne
AAML
MedIm
33
2
0
13 Dec 2022
Data-free Defense of Black Box Models Against Adversarial Attacks
Data-free Defense of Black Box Models Against Adversarial Attacks
Gaurav Kumar Nayak
Inder Khatri
Ruchit Rawal
Anirban Chakraborty
AAML
33
1
0
03 Nov 2022
Improving Self-supervised Learning for Out-of-distribution Task via
  Auxiliary Classifier
Improving Self-supervised Learning for Out-of-distribution Task via Auxiliary Classifier
Harshita Boonlia
T. Dam
Md Meftahul Ferdaus
S. Anavatti
Ankan Mullick
OODD
16
4
0
07 Sep 2022
Advances in adversarial attacks and defenses in computer vision: A
  survey
Advances in adversarial attacks and defenses in computer vision: A survey
Naveed Akhtar
Ajmal Mian
Navid Kardan
M. Shah
AAML
41
236
0
01 Aug 2021
Improving Adversarial Robustness via Probabilistically Compact Loss with
  Logit Constraints
Improving Adversarial Robustness via Probabilistically Compact Loss with Logit Constraints
X. Li
Xiangrui Li
Deng Pan
D. Zhu
AAML
21
17
0
14 Dec 2020
A Study on the Uncertainty of Convolutional Layers in Deep Neural
  Networks
A Study on the Uncertainty of Convolutional Layers in Deep Neural Networks
Hao Shen
Sihong Chen
Ran Wang
30
5
0
27 Nov 2020
Stylized Adversarial Defense
Stylized Adversarial Defense
Muzammal Naseer
Salman Khan
Munawar Hayat
Fahad Shahbaz Khan
Fatih Porikli
GAN
AAML
28
16
0
29 Jul 2020
Improved Noise and Attack Robustness for Semantic Segmentation by Using
  Multi-Task Training with Self-Supervised Depth Estimation
Improved Noise and Attack Robustness for Semantic Segmentation by Using Multi-Task Training with Self-Supervised Depth Estimation
Marvin Klingner
Andreas Bär
Tim Fingscheidt
AAML
35
40
0
23 Apr 2020
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
303
3,115
0
04 Nov 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
335
5,849
0
08 Jul 2016
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