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Evaluating the vulnerability of end-to-end automatic speech recognition models to membership inference attacks
Evaluating the vulnerability of end-to-end automatic speech recognition models to membership inference attacks
2021
Muhammad A. Shah
Joseph Szurley
Markus Mueller
Athanasios Mouchtaris
Jasha Droppo
Keywords:
Computer science
Vulnerability (computing)
Speech recognition
End-to-end principle
Inference
Correction
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