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Oral
Wed Jun 12 11:00 AM -- 11:20 AM (PDT) @ Grand Ballroom
Theoretically Principled Trade-off between Robustness and Accuracy
Hongyang Zhang · Yaodong Yu · Jiantao Jiao · Eric Xing · Laurent El Ghaoui · Michael Jordan
Oral
Wed Jun 12 11:20 AM -- 11:25 AM (PDT) @ Grand Ballroom
The Odds are Odd: A Statistical Test for Detecting Adversarial Examples
Kevin Roth · Yannic Kilcher · Thomas Hofmann
Oral
Wed Jun 12 11:25 AM -- 11:30 AM (PDT) @ Grand Ballroom
ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation
Yuzhe Yang · GUO ZHANG · Zhi Xu · Dina Katabi
Oral
Wed Jun 12 11:30 AM -- 11:35 AM (PDT) @ Grand Ballroom
Certified Adversarial Robustness via Randomized Smoothing
Jeremy Cohen · Elan Rosenfeld · Zico Kolter
Oral
Wed Jun 12 11:35 AM -- 11:40 AM (PDT) @ Grand Ballroom
Imperceptible, Robust, and Targeted Adversarial Examples for Automatic Speech Recognition
Yao Qin · Nicholas Carlini · Garrison Cottrell · Ian Goodfellow · Colin Raffel
Oral
Wed Jun 12 11:40 AM -- 12:00 PM (PDT) @ Grand Ballroom
Parsimonious Black-Box Adversarial Attacks via Efficient Combinatorial Optimization
Seungyong Moon · Gaon An · Hyun Oh Song
Oral
Wed Jun 12 12:00 PM -- 12:05 PM (PDT) @ Grand Ballroom
Wasserstein Adversarial Examples via Projected Sinkhorn Iterations
Eric Wong · Frank Schmidt · Zico Kolter
Oral
Wed Jun 12 12:05 PM -- 12:10 PM (PDT) @ Grand Ballroom
Transferable Clean-Label Poisoning Attacks on Deep Neural Nets
Chen Zhu · W. Ronny Huang · Hengduo Li · Gavin Taylor · Christoph Studer · Tom Goldstein
Oral
Wed Jun 12 12:10 PM -- 12:15 PM (PDT) @ Grand Ballroom
NATTACK: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks
Yandong li · Lijun Li · Liqiang Wang · Tong Zhang · Boqing Gong
Oral
Wed Jun 12 12:15 PM -- 12:20 PM (PDT) @ Grand Ballroom
Simple Black-box Adversarial Attacks
Chuan Guo · Jacob Gardner · Yurong You · Andrew Wilson · Kilian Weinberger