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Oral
Tue Jul 19 07:30 AM -- 07:50 AM (PDT) @ Hall G
Detecting Adversarial Examples Is (Nearly) As Hard As Classifying Them
Florian Tramer
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Tue Jul 19 07:50 AM -- 07:55 AM (PDT) @ Hall G
ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks
Haoran You · Baopu Li · Shi Huihong · Yonggan Fu · Yingyan Lin
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Tue Jul 19 07:55 AM -- 08:00 AM (PDT) @ Hall G
Provably Adversarially Robust Nearest Prototype Classifiers
Václav Voráček · Matthias Hein
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Tue Jul 19 08:00 AM -- 08:05 AM (PDT) @ Hall G
Certifying Out-of-Domain Generalization for Blackbox Functions
Maurice Weber · Linyi Li · Boxin Wang · · Bo Li · Ce Zhang
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Tue Jul 19 08:05 AM -- 08:10 AM (PDT) @ Hall G
Intriguing Properties of Input-Dependent Randomized Smoothing
Peter Súkeník · Aleksei Kuvshinov · Stephan Günnemann
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Oral
Tue Jul 19 08:10 AM -- 08:30 AM (PDT) @ Hall G
To Smooth or Not? When Label Smoothing Meets Noisy Labels
Jiaheng Wei · Hangyu Liu · Tongliang Liu · Gang Niu · Masashi Sugiyama · Yang Liu
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Tue Jul 19 08:30 AM -- 08:35 AM (PDT) @ Hall G
Evaluating the Adversarial Robustness of Adaptive Test-time Defenses
Francesco Croce · Sven Gowal · Thomas Brunner · Evan Shelhamer · Matthias Hein · Taylan Cemgil
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Tue Jul 19 08:35 AM -- 08:40 AM (PDT) @ Hall G
On the Generalization Analysis of Adversarial Learning
Waleed Mustafa · Yunwen Lei · Marius Kloft
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Tue Jul 19 08:40 AM -- 08:45 AM (PDT) @ Hall G
Demystifying the Adversarial Robustness of Random Transformation Defenses
Chawin Sitawarin · Zachary Golan-Strieb · David Wagner
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Tue Jul 19 08:45 AM -- 08:50 AM (PDT) @ Hall G
Double Sampling Randomized Smoothing
Linyi Li · Jiawei Zhang · Tao Xie · Bo Li
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Tue Jul 19 08:50 AM -- 08:55 AM (PDT) @ Hall G
TPC: Transformation-Specific Smoothing for Point Cloud Models
Wenda Chu · Linyi Li · Bo Li
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