Lorna Licollari

Research Intern

Papers

1. On the Exploitability of Audio Machine Learning Pipelines to Surreptitious Adversarial Examples
   Adelin Travers, Lorna Licollari, Guanghan Wang, Varun Chandrasekaran, Adam Dziedzic, David Lie, Nicolas Papernot
   

   Paper BibTeX

   @article{adelin2021on,
     author = {Travers, Adelin and Licollari, Lorna and Wang, Guanghan and Chandrasekaran, Varun and Dziedzic, Adam and Lie, David and Papernot, Nicolas},
     title = {On the Exploitability of Audio Machine Learning Pipelines to Surreptitious Adversarial Examples},
     year = {2021}
   }