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28 Results

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Poster
Tue 14:30 Defensive Quantization: When Efficiency Meets Robustness
Ji Lin · Chuang Gan · Song Han
Poster
Tue 14:30 Boosting Robustness Certification of Neural Networks
Gagandeep Singh · Timon Gehr · Markus Püschel · Martin Vechev
Poster
Tue 14:30 Learning Robust Representations by Projecting Superficial Statistics Out
Haohan Wang · Zexue He · Zachary Lipton · Eric P Xing
Poster
Wed 14:30 Deep Anomaly Detection with Outlier Exposure
Dan Hendrycks · Mantas Mazeika · Thomas Dietterich
Poster
Tue 14:30 A Statistical Approach to Assessing Neural Network Robustness
Stefan Webb · Tom Rainforth · Yee Whye Teh · M. Pawan Kumar
Poster
Tue 14:30 Benchmarking Neural Network Robustness to Common Corruptions and Perturbations
Dan Hendrycks · Thomas Dietterich
Poster
Tue 14:30 ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness
Robert Geirhos · Patricia Rubisch · Claudio Michaelis · Matthias Bethge · Felix Wichmann · Wieland Brendel
Poster
Tue 14:30 Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network
Xuanqing Liu · Yao Li · Chongruo Wu · Cho-Jui Hsieh
Workshop
Mon 7:45 Safe Machine Learning: Specification, Robustness, and Assurance
Silvia Chiappa · Victoria Krakovna · Adrià Garriga-Alonso · Andrew Trask · Jonathan Uesato · Christina Heinze-Deml · Ray Jiang · Adrian Weller
Workshop
Mon 13:50 Priors for exploration and robustness
Benjamin Eysenbach · Lisa Lee · Jacob Tyo
Poster
Tue 14:30 Training for Faster Adversarial Robustness Verification via Inducing ReLU Stability
Kai Xiao · Vincent Tjeng · Nur Muhammad Shafiullah · Aleksander Madry
Poster
Tue 14:30 On the Sensitivity of Adversarial Robustness to Input Data Distributions
Gavin Ding · Yik Chau Lui · Xiaomeng Jin · Luyu Wang · Ruitong Huang