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Ethan Garza

2 accepted papers

2022

Decouple-and-Sample: Protecting Sensitive Information in Task Agnostic Data Release

ECCV 2022poster

"We propose sanitizer, a framework for secure and task-agnostic data release. While releasing datasets continues to make a big impact in various applications of computer vision, its impact is mostly realized when data sharing is not inhibited by privacy concerns. We alleviate these concerns by sanit…

2021

DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for Deep Neural Networks

CVPR 2021poster

Recent deep learning models have shown remarkable performance in image classification. While these deep learning systems are getting closer to practical deployment, the common assumption made about data is that it does not carry any sensitive information. This assumption may not hold for many practi…

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