Poster

Tue 11:00

Understanding and Mitigating the Tradeoff between Robustness and Accuracy
Aditi Raghunathan · Sang Michael Xie · Fanny Yang · John Duchi · Percy Liang

Poster

Tue 7:00

Adversarial Learning Guarantees for Linear Hypotheses and Neural Networks
Pranjal Awasthi · Natalie Frank · Mehryar Mohri

Poster

Wed 5:00

Adversarial Risk via Optimal Transport and Optimal Couplings
Muni Sreenivas Pydi · Varun Jog

Poster

Thu 6:00

Towards Understanding the Regularization of Adversarial Robustness on Neural Networks
Yuxin Wen · Shuai Li · Kui Jia

Poster

Tue 8:00

Adversarial Neural Pruning with Latent Vulnerability Suppression
Divyam Madaan · Jinwoo Shin · Sung Ju Hwang

Poster

Tue 7:00

Randomized Smoothing of All Shapes and Sizes
Greg Yang · Tony Duan · J. Edward Hu · Hadi Salman · Ilya Razenshteyn · Jerry Li

Poster

Tue 8:00

Stronger and Faster Wasserstein Adversarial Attacks
Kaiwen Wu · Allen Wang · Yaoliang Yu

Poster

Thu 7:00

More Data Can Expand The Generalization Gap Between Adversarially Robust and Standard Models
Lin Chen · Yifei Min · Mingrui Zhang · Amin Karbasi

Poster

Tue 8:00

Parameterized Rate-Distortion Stochastic Encoder
Quan Hoang · Trung Le · Dinh Phung

Workshop

Poster presentation: Black-box Adversarial Example Generation with Normalizing Flows
Invertible Workshop INNF

Poster

Tue 10:00

When are Non-Parametric Methods Robust?
Robi Bhattacharjee · Kamalika Chaudhuri

Poster

Tue 11:00

Adversarial Robustness for Code
Pavol Bielik · Martin Vechev