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On the Effectiveness of Interval Bound Propagation for Training Verifiably Robust Models.
Sven Gowal
Krishnamurthy Dvijotham
Robert Stanforth
Rudy Bunel
Chongli Qin
Jonathan Uesato
Relja Arandjelovic
Timothy A. Mann
Pushmeet Kohli
Published in:
CoRR (2018)
Keyphrases
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probabilistic model
statistical models
lower bound
structured prediction
parametric models
machine learning
computer vision
upper bound
neural network model
mathematical models
estimation error
training process
training algorithm