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The 2021 schedule is still incomplete
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Oral
Thu Jul 22 10:00 PM -- 10:20 PM (KST)
Improved, Deterministic Smoothing for L_1 Certified Robustness
In Adversarial Learning 1
Alexander Levine · Soheil Feizi
[ Paper ]
Spotlight
Thu Jul 22 10:20 PM -- 10:25 PM (KST)
Mixed Nash Equilibria in the Adversarial Examples Game
In Adversarial Learning 1
Laurent Meunier · Meyer Scetbon · Rafael Pinot · Jamal Atif · Yann Chevaleyre
[ Paper ]
Spotlight
Thu Jul 22 10:25 PM -- 10:30 PM (KST)
Learning to Generate Noise for Multi-Attack Robustness
In Adversarial Learning 1
Divyam Madaan · Jinwoo Shin · Sung Ju Hwang
[ Paper ]
Spotlight
Thu Jul 22 10:30 PM -- 10:35 PM (KST)
Query Complexity of Adversarial Attacks
In Adversarial Learning 1
Grzegorz Gluch · Rüdiger Urbanke
[ Paper ]
Spotlight
Thu Jul 22 10:35 PM -- 10:40 PM (KST)
Training Adversarially Robust Sparse Networks via Bayesian Connectivity Sampling
In Adversarial Learning 1
Ozan Özdenizci · Robert Legenstein
[ Paper ]
Spotlight
Thu Jul 22 10:40 PM -- 10:45 PM (KST)
Efficient Training of Robust Decision Trees Against Adversarial Examples
In Adversarial Learning 1
Daniël Vos · Sicco Verwer
[ Paper ]
Spotlight
Thu Jul 22 10:45 PM -- 10:50 PM (KST)
Scalable Certified Segmentation via Randomized Smoothing
In Adversarial Learning 1
Marc Fischer · Maximilian Baader · Martin Vechev
[ Paper ]
Q&A
Thu Jul 22 10:50 PM -- 10:55 PM (KST)
Q&A
In Adversarial Learning 1