Deep Speech Denoising with Vector Space Projections. - Jeffrey Hetherly; Paul Gamble; Maria Alejandra Barrios; Cory Stephenson; Karl Ni (INTERSPEECH, 2018)

Voices Obscured in Complex Environmental Settings (VOiCES) Corpus. - Colleen Richey; María Auxiliadora Barrios; Zeb Armstrong; Chris Bartels; Horacio Franco; Martin Graciarena; Aaron Lawson; Mahesh Kumar Nandwana; Allen R. Stauffer; Julien van Hout; Paul Gamble; Jeffrey Hetherly; et al. (INTERSPEECH, 2018)

SIG-DB: Leveraging homomorphic encryption to securely interrogate privately held genomic databases. - Alexander J. Titus; Audrey Flower; Patrick Hagerty; Paul Gamble; Charlie Lewis; Todd Stavish; Kevin P. OConnell; Greg Shipley; Stephanie M. Rogers (PLoS Comput. Biol., 2018)

Robust or Private? Adversarial Training Makes Models More Vulnerable to Privacy Attacks. - Felipe A. Mejia; Paul Gamble; Zigfried Hampel-Arias; Michael Lomnitz; Nina Lopatina; Lucas Tindall; Maria Alejandra Barrios (CoRR, 2019)

Reducing audio membership inference attack accuracy to chance: 4 defenses. - Michael Lomnitz; Nina Lopatina; Paul Gamble; Zigfried Hampel-Arias; Lucas Tindall; Felipe A. Mejia; Maria Alejandra Barrios (CoRR, 2019)

Automated LOINC Standardization Using Pre-trained Large Language Models. - Tao Tu 001; Eric Loreaux; Emma Chesley; Ádám D. Lelkes; Paul Gamble; Mathias Bellaiche; Martin Seneviratne; Ming-Jun Chen (ML4H@NeurIPS, 2022)

Large Language Models Encode Clinical Knowledge. - Karan Singhal; Shekoofeh Azizi; Tao Tu 001; S. Sara Mahdavi; Jason Wei; Hyung Won Chung; Nathan Scales; Ajay Kumar Tanwani; Heather Cole-Lewis; Stephen Pfohl; Perry Payne; Martin Seneviratne; et al. (CoRR, 2022)

Polaris: A Safety-focused LLM Constellation Architecture for Healthcare. - Subhabrata Mukherjee; Paul Gamble; Markel Sanz Ausin; Neel Kant; Kriti Aggarwal; Neha Manjunath; Debajyoti Datta; Zhengliang Liu; Jiayuan Ding; Sophia Busacca; Cezanne Bianco; Swapnil Sharma; et al. (CoRR, 2024)