research
∙
05/19/2023
Controlling the Extraction of Memorized Data from Large Language Models via Prompt-Tuning
Large Language Models (LLMs) are known to memorize significant portions ...
share
research
∙
06/27/2022
Impact of Acoustic Event Tagging on Scene Classification in a Multi-Task Learning Framework
Acoustic events are sounds with well-defined spectro-temporal characteri...
research
∙
06/20/2022
An Empirical Analysis on the Vulnerabilities of End-to-End Speech Segregation Models
End-to-end learning models have demonstrated a remarkable capability in ...
research
∙
03/25/2022
Canary Extraction in Natural Language Understanding Models
Natural Language Understanding (NLU) models can be trained on sensitive ...
research
∙
03/11/2022
Acoustic To Articulatory Speech Inversion Using Multi-Resolution Spectro-Temporal Representations Of Speech Signals
Multi-resolution spectro-temporal features of a speech signal represent ...
research
∙
03/08/2022