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Towards adversarial robustness with 01 loss neural networks
Yunzhe Xue
, Meiyan Xie
,
Usman Roshan
Data Science
Computer Science
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
5
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Scopus citations
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Dive into the research topics of 'Towards adversarial robustness with 01 loss neural networks'. Together they form a unique fingerprint.
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Computer Science
Adversarial Example
50%
Adversarial Machine Learning
100%
Binary Classification
50%
Black-Box Attack
100%
Gaussian White Noise
50%
Machine Learning
50%
Minimum Distortion
100%
Neural Network
100%
Threshold Distortion
50%
Trained Neural Network
50%
training algorithm
50%
Keyphrases
0-1 Loss
100%
Activation Network
11%
Adversarial Examples
11%
Adversarial Robustness
100%
Binarization
33%
Binarized Neural Network
11%
Binary Classification
11%
Black Hole Attack
22%
Black-box Adversarial Attack
11%
Boundary Attack
11%
CIFAR-10
11%
Convolution Model
11%
Cross-entropy Loss
22%
Gaussian Noise
11%
Loss Networks
55%
Machine Learning
11%
Minimum Distortion
22%
Model Robustness
11%
Network Use
11%
Neural Network
100%
Noise-aware Training
11%
Non-convex Cost Function
11%
Robust Property
11%
Sigmoid Activation Function
11%
Single Hidden Layer
11%
Stochastic Coordinate Descent
11%
Substitute Model
22%
Targeted Adversarial Attack
11%
Training Algorithm
11%
Physics
Machine Learning
33%
Neural Network
100%
Random Noise
33%
Chemical Engineering
Learning System
33%
Neural Network
100%