no code implementations • 13 May 2022 • Wenxuan Bao, Luke A. Bauer, Vincent Bindschaedler
The use of differentially private learning algorithms in a "drop-in" fashion -- without accounting for the impact of differential privacy (DP) noise when choosing what feature engineering operations to use, what features to select, or what neural network architecture to use -- yields overly complex and poorly performing models.
no code implementations • 10 Mar 2022 • Hadi Abdullah, Aditya Karlekar, Saurabh Prasad, Muhammad Sajidur Rahman, Logan Blue, Luke A. Bauer, Vincent Bindschaedler, Patrick Traynor
We begin by comparing 20 recent attack papers, classifying and measuring their suitability to serve as the basis of new "robust to transcription" but "easy for humans to understand" CAPTCHAs.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
no code implementations • 13 Oct 2021 • Luke A. Bauer, James K. Howes IV, Sam A. Markelon, Vincent Bindschaedler, Thomas Shrimpton
We introduce a new type of format-transforming encryption where the format of ciphertexts is implicitly encoded within a machine-learned generative model.