79 citations · 124 across the 5 of their papers we have counts for
3 papers · 1 filter
Fair NLP Models with Differentially Private Text Encoders
Gaurav Maheshwari, Pascal Denis, Mikaela Keller +1
Encoded text representations often capture sensitive attributes about individuals (e.g., race or gender), which raise privacy concerns and can make downstream models unfair to cert…
Privacy-Preserving Adversarial Representation Learning in ASR: Reality or Illusion?
Brij Mohan Lal Srivastava, Aurélien Bellet, Marc Tommasi +1
Automatic speech recognition (ASR) is a key technology in many services and applications. This typically requires user devices to send their speech data to the cloud for ASR decodi…
Evaluating Voice Conversion-based Privacy Protection against Informed Attackers
Brij Mohan Lal Srivastava, Nathalie Vauquier, Md Sahidullah +3
Speech data conveys sensitive speaker attributes like identity or accent. With a small amount of found data, such attributes can be inferred and exploited for malicious purposes: v…