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Datasets and Benchmarks
RobustBench: a standardized adversarial robustness benchmark
Francesco Croce · Maksym Andriushchenko · Vikash Sehwag · Edoardo Debenedetti · Nicolas Flammarion · Mung Chiang · Prateek Mittal · Matthias Hein
Datasets and Benchmarks
Benchmarking the Robustness of Spatial-Temporal Models Against Corruptions
Chenyu Yi · SIYUAN YANG · Haoliang Li · Yap-peng Tan · Alex Kot
Workshop
Mon 10:17 Invited Talk: Lessons from robust machine learning
Aditi Raghunathan
Workshop
Mon 1:12 Invited Talk: Generalizability, robustness and fairness in machine learning risk prediction models
Rumi Chunara
Workshop
Mon 11:00 Increasing Robustness to Distribution Shifts by Improving Design
Elizabeth Tipton
Workshop
Mon 16:15 Robustness through the Lens of Invariance
Chelsea Finn
Workshop
Mon 3:20 Algorithmic Bias and Data Bias: Understanding the Relation between Distributionally Robust Optimization and Data Curation
Agnieszka Słowik · Leon Bottou
Poster
Thu 8:30 Robust Allocations with Diversity Constraints
Zeyu Shen · Lodewijk Gelauff · Ashish Goel · Aleksandra Korolova · Kamesh Munagala
Poster
Tue 8:30 Calibration and Consistency of Adversarial Surrogate Losses
Pranjal Awasthi · Natalie Frank · Anqi Mao · Mehryar Mohri · Yutao Zhong
Poster
Thu 16:30 BatchQuant: Quantized-for-all Architecture Search with Robust Quantizer
Haoping Bai · Meng Cao · Ping Huang · Jiulong Shan
Poster
Thu 8:30 Towards optimally abstaining from prediction with OOD test examples
Adam Kalai · Varun Kanade
Workshop
Tue 4:55 Your Model is Wrong: Robustness and misspecification in probabilistic modeling
Diana Cai · Sameer Deshpande · Michael Hughes · Tamara Broderick · Trevor Campbell · Nick Foti · Barbara Engelhardt · Sinead Williamson