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The 2021 schedule is still incomplete
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Oral
Thu Jul 22 06:00 AM -- 06:20 AM (PDT)
Improved, Deterministic Smoothing for L_1 Certified Robustness
In Adversarial Learning 1
Alexander Levine · Soheil Feizi
[ Paper ]
Spotlight
Thu Jul 22 06:20 AM -- 06:25 AM (PDT)
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 06:25 AM -- 06:30 AM (PDT)
Learning to Generate Noise for Multi-Attack Robustness
In Adversarial Learning 1
Divyam Madaan · Jinwoo Shin · Sung Ju Hwang
[ Paper ]
Spotlight
Thu Jul 22 06:30 AM -- 06:35 AM (PDT)
Query Complexity of Adversarial Attacks
In Adversarial Learning 1
Grzegorz Gluch · Rüdiger Urbanke
[ Paper ]
Spotlight
Thu Jul 22 06:35 AM -- 06:40 AM (PDT)
Training Adversarially Robust Sparse Networks via Bayesian Connectivity Sampling
In Adversarial Learning 1
Ozan Özdenizci · Robert Legenstein
[ Paper ]
Spotlight
Thu Jul 22 06:40 AM -- 06:45 AM (PDT)
Efficient Training of Robust Decision Trees Against Adversarial Examples
In Adversarial Learning 1
Daniël Vos · Sicco Verwer
[ Paper ]
Spotlight
Thu Jul 22 06:45 AM -- 06:50 AM (PDT)
Scalable Certified Segmentation via Randomized Smoothing
In Adversarial Learning 1
Marc Fischer · Maximilian Baader · Martin Vechev
[ Paper ]
Q&A
Thu Jul 22 06:50 AM -- 06:55 AM (PDT)
Q&A
In Adversarial Learning 1