Search Results for author: Sawyer Birnbaum

Found 3 papers, 3 papers with code

Temporal FiLM: Capturing Long-Range Sequence Dependencies with Feature-Wise Modulations.

1 code implementation NeurIPS 2019 Sawyer Birnbaum, Volodymyr Kuleshov, Zayd Enam, Pang Wei W. Koh, Stefano Ermon

Learning representations that accurately capture long-range dependencies in sequential inputs --- including text, audio, and genomic data --- is a key problem in deep learning.

Audio Super-Resolution Super-Resolution +1

Temporal FiLM: Capturing Long-Range Sequence Dependencies with Feature-Wise Modulations

1 code implementation14 Sep 2019 Sawyer Birnbaum, Volodymyr Kuleshov, Zayd Enam, Pang Wei Koh, Stefano Ermon

Learning representations that accurately capture long-range dependencies in sequential inputs -- including text, audio, and genomic data -- is a key problem in deep learning.

Audio Super-Resolution Super-Resolution +1

Fidelius: Protecting User Secrets from Compromised Browsers

1 code implementation13 Sep 2018 Saba Eskandarian, Jonathan Cogan, Sawyer Birnbaum, Peh Chang Wei Brandon, Dillon Franke, Forest Fraser, Gaspar Garcia Jr., Eric Gong, Hung T. Nguyen, Taresh K. Sethi, Vishal Subbiah, Michael Backes, Giancarlo Pellegrino, Dan Boneh

In this work, we present Fidelius, a new architecture that uses trusted hardware enclaves integrated into the browser to enable protection of user secrets during web browsing sessions, even if the entire underlying browser and OS are fully controlled by a malicious attacker.

Cryptography and Security

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