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Oral
Thu Jul 12 11:00 PM -- 11:20 PM (KST) @ A7
The Mechanics of n-Player Differentiable Games
In Deep Learning (Adversarial) 4
David Balduzzi · Sebastien Racaniere · James Martens · Jakob Foerster · Karl Tuyls · Thore Graepel
[ PDF] 
Oral
Thu Jul 12 11:20 PM -- 11:30 PM (KST) @ A7
K-Beam Minimax: Efficient Optimization for Deep Adversarial Learning
In Deep Learning (Adversarial) 4
Jihun Hamm · Yung-Kyun Noh
[ PDF] 
Oral
Thu Jul 12 11:30 PM -- 11:40 PM (KST) @ A7
First Order Generative Adversarial Networks
In Deep Learning (Adversarial) 4
Calvin Seward · Thomas Unterthiner · Urs M Bergmann · Nikolay Jetchev · Sepp Hochreiter
[ PDF] 
Oral
Thu Jul 12 11:40 PM -- 11:50 PM (KST) @ A7
Towards Fast Computation of Certified Robustness for ReLU Networks
In Deep Learning (Adversarial) 4
Tsui-Wei Weng · Huan Zhang · Hongge Chen · Zhao Song · Cho-Jui Hsieh · Luca Daniel · Duane Boning · Inderjit Dhillon
[ PDF] 
Oral
Thu Jul 12 11:50 PM -- 12:00 AM (KST) @ A7
LaVAN: Localized and Visible Adversarial Noise
In Deep Learning (Adversarial) 4
Danny Karmon · Daniel Zoran · Yoav Goldberg
[ PDF]