363 citations · 485 across the 18 of their papers we have counts for
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cs.LG2021★ 1 cited
Output Randomization: A Novel Defense for both White-box and Black-box Adversarial Models
Daniel Park, Haidar Khan, Azer Khan +2
Adversarial examples pose a threat to deep neural network models in a variety of scenarios, from settings where the adversary has complete knowledge of the model in a "white box" s…
cond-mat.mtrl-sci2021
The Adoption of Image-Driven Machine Learning for Microstructure Characterization and Materials Design: A Perspective
Arun Baskaran, Elizabeth J. Kautz, Aritra Chowdhary +3
The recent surge in the adoption of machine learning techniques for materials design, discovery, and characterization has resulted in an increased interest and application of Image…