Search Results for author: Weiran Lin

Found 3 papers, 2 papers with code

Nonparametric Discrete Choice Experiments with Machine Learning Guided Adaptive Design

no code implementations18 Oct 2023 Mingzhang Yin, Ruijiang Gao, Weiran Lin, Steven M. Shugan

Cross-pollinating the machine learning and experiment design, GBS is scalable to products with hundreds of attributes and can design personalized products for heterogeneous consumers.

Group-based Robustness: A General Framework for Customized Robustness in the Real World

1 code implementation29 Jun 2023 Weiran Lin, Keane Lucas, Neo Eyal, Lujo Bauer, Michael K. Reiter, Mahmood Sharif

In this work, we identify real-world scenarios where the true threat cannot be assessed accurately by existing attacks.

Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural Networks

1 code implementation28 Dec 2021 Weiran Lin, Keane Lucas, Lujo Bauer, Michael K. Reiter, Mahmood Sharif

First, we demonstrate a loss function that explicitly encodes (1) and show that Auto-PGD finds more attacks with it.

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