Tyler LeBlond

Publication Activity (10 Years)

Years Active: 2022-2023
Publications (10 Years): 5

Top Topics

Differentially Private

Feature Selection

Differential Privacy

Machine Learning

Top Venues

Publications

Tyler LeBlond, Joseph Munoz, Fred Lu, Maya Fuchs, Elliott Zaresky-Williams, Edward Raff, Brian Testa
Probing the Transition to Dataset-Level Privacy in ML Models Using an Output-Specific and Data-Resolved Privacy Profile. CoRR (2023)
Tyler LeBlond, Joseph Munoz, Fred Lu, Maya Fuchs, Elliott Zaresky-Williams, Edward Raff, Brian Testa
Probing the Transition to Dataset-Level Privacy in ML Models Using an Output-Specific and Data-Resolved Privacy Profile. AISec@CCS (2023)
Tyler LeBlond, Ryan S. Bennink, Justin G. Lietz, Christopher M. Seck
TISCC: A Surface Code Compiler and Resource Estimator for Trapped-Ion Processors. SC Workshops (2023)
Fred Lu, Joseph Munoz, Maya Fuchs, Tyler LeBlond, Elliott Zaresky-Williams, Edward Raff, Francis Ferraro, Brian Testa
A General Framework for Auditing Differentially Private Machine Learning. CoRR (2022)
Fred Lu, Joseph Munoz, Maya Fuchs, Tyler LeBlond, Elliott Zaresky-Williams, Edward Raff, Francis Ferraro, Brian Testa
A General Framework for Auditing Differentially Private Machine Learning. NeurIPS (2022)