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Oral
Wed Jul 11 08:00 AM -- 08:20 AM (PDT) @ A7
Differentiable Abstract Interpretation for Provably Robust Neural Networks
In Deep Learning (Adversarial) 1
Matthew Mirman · Timon Gehr · Martin Vechev
[ PDF] 
Oral
Wed Jul 11 08:20 AM -- 08:40 AM (PDT) @ A7
Provable Defenses against Adversarial Examples via the Convex Outer Adversarial Polytope
In Deep Learning (Adversarial) 1
Eric Wong · Zico Kolter
[ PDF] 
Oral
Wed Jul 11 08:40 AM -- 08:50 AM (PDT) @ A7
Synthesizing Robust Adversarial Examples
In Deep Learning (Adversarial) 1
Anish Athalye · Logan Engstrom · Andrew Ilyas · Kevin Kwok
[ PDF] 
Oral
Wed Jul 11 08:50 AM -- 09:00 AM (PDT) @ 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]