Large Language Models Encode Clinical Knowledge

no code implementations • 26 Dec 2022 • Karan Singhal, Shekoofeh Azizi, Tao Tu, S. Sara Mahdavi, Jason Wei, Hyung Won Chung, Nathan Scales, Ajay Tanwani, Heather Cole-Lewis, Stephen Pfohl, Perry Payne, Martin Seneviratne, Paul Gamble, Chris Kelly, Nathaneal Scharli, Aakanksha Chowdhery, Philip Mansfield, Blaise Aguera y Arcas, Dale Webster, Greg S. Corrado, Yossi Matias, Katherine Chou, Juraj Gottweis, Nenad Tomasev, Yun Liu, Alvin Rajkomar, Joelle Barral, Christopher Semturs, Alan Karthikesalingam, Vivek Natarajan

To resolve this we introduce instruction prompt tuning, a parameter-efficient approach for aligning LLMs to new domains using a few exemplars.

Clinical Knowledge Multiple-choice +2

Reducing audio membership inference attack accuracy to chance: 4 defenses

no code implementations • 31 Oct 2019 • Michael Lomnitz, Nina Lopatina, Paul Gamble, Zigfried Hampel-Arias, Lucas Tindall, Felipe A. Mejia, Maria Alejandra Barrios

It is critical to understand the privacy and robustness vulnerabilities of machine learning models, as their implementation expands in scope.

Inference Attack Membership Inference Attack +1

Robust or Private? Adversarial Training Makes Models More Vulnerable to Privacy Attacks

no code implementations • 15 Jun 2019 • Felipe A. Mejia, Paul Gamble, Zigfried Hampel-Arias, Michael Lomnitz, Nina Lopatina, Lucas Tindall, Maria Alejandra Barrios

Adversarial training was introduced as a way to improve the robustness of deep learning models to adversarial attacks.

Deep Speech Denoising with Vector Space Projections

no code implementations • 27 Apr 2018 • Jeff Hetherly, Paul Gamble, Maria Barrios, Cory Stephenson, Karl Ni

We propose an algorithm to denoise speakers from a single microphone in the presence of non-stationary and dynamic noise.

Denoising Speech Denoising