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Workshop
Improving Visual Quality of Unrestricted Adversarial Examples with Wavelet-VAE
Wenzhao Xiang · Chang Liu · Shibao Zheng
Workshop
On the (Un-)Avoidability of Adversarial Examples
· Ruth Urner
Workshop
Boosting Transferability of Targeted Adversarial Examples via Hierarchical Generative Networks
Xiao Yang · Yinpeng Dong · Tianyu Pang
Spotlight
Thu 7:20 Skew Orthogonal Convolutions
Sahil Singla · Soheil Feizi
Affinity Workshop
Wed 8:30 On the (Un-)Avoidability of Adversarial Examples
Sadia Chowdhury
Poster
Thu 9:00 Skew Orthogonal Convolutions
Sahil Singla · Soheil Feizi
Workshop
Improving the Transferability of Adversarial Examples with New Iteration Framework and Input Dropout
· Pengfei Xie
Workshop
Detecting Adversarial Examples Is (Nearly) As Hard As Classifying Them
Florian Tramer
Spotlight
Thu 7:45 To be Robust or to be Fair: Towards Fairness in Adversarial Training
Han Xu · Xiaorui Liu · Yaxin Li · Anil Jain · Jiliang Tang
Poster
Thu 9:00 To be Robust or to be Fair: Towards Fairness in Adversarial Training
Han Xu · Xiaorui Liu · Yaxin Li · Anil Jain · Jiliang Tang
Workshop
Classification and Adversarial Examples in an Overparameterized Linear Model: A Signal-Processing Perspective
Adhyyan Narang · Vidya Muthukumar · Anant Sahai
Workshop
Sat 9:05 Adversarial Examples in Random Deep Networks
Peter Bartlett