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Oral
Thu Jul 12 12:00 AM -- 12:20 AM (KST) @ A7
Differentiable Abstract Interpretation for Provably Robust Neural Networks
In Deep Learning (Adversarial) 1
Matthew Mirman · Timon Gehr · Martin Vechev
[ PDF] 
Oral
Thu Jul 12 12:20 AM -- 12:40 AM (KST) @ A7
Provable Defenses against Adversarial Examples via the Convex Outer Adversarial Polytope
In Deep Learning (Adversarial) 1
Eric Wong · Zico Kolter
[ PDF] 
Oral
Thu Jul 12 12:40 AM -- 12:50 AM (KST) @ A7
Synthesizing Robust Adversarial Examples
In Deep Learning (Adversarial) 1
Anish Athalye · Logan Engstrom · Andrew Ilyas · Kevin Kwok
[ PDF] 
Oral
Thu Jul 12 12:50 AM -- 01:00 AM (KST) @ A7
Adversarial Risk and the Dangers of Evaluating Against Weak Attacks
In Deep Learning (Adversarial) 1
Jonathan Uesato · Brendan O'Donoghue · Pushmeet Kohli · Aäron van den Oord
[ PDF]