activity
20192026
most citedPrivacy-preserving Voice Analysis via Disentangled Representations

33 citations · 52 across the 12 of their papers we have counts for

collaborators

13 papers

cs.SD2026

Evaluation of Audio Language Models for Fairness, Safety, and Security

Ranya Aloufi, Srishti Gupta, Soumya Shaw +2

Audio large language models (ALLMs) have recently advanced spoken interaction by integrating speech processing with large language models. However, existing evaluations of fairness…

cs.CL2025

ClaritySpeech: Dementia Obfuscation in Speech

Dominika Woszczyk, Ranya Aloufi, Soteris Demetriou

Dementia, a neurodegenerative disease, alters speech patterns, creating communication barriers and raising privacy concerns. Current speech technologies, such as automatic speech t…

cs.SD2024

Prosody-Driven Privacy-Preserving Dementia Detection

Dominika Woszczyk, Ranya Aloufi, Soteris Demetriou

Speaker embeddings extracted from voice recordings have been proven valuable for dementia detection. However, by their nature, these embeddings contain identifiable information whi…

cs.LG2024

Low-Energy On-Device Personalization for MCUs

Yushan Huang, Ranya Aloufi, Xavier Cadet +3

Microcontroller Units (MCUs) are ideal platforms for edge applications due to their low cost and energy consumption, and are widely used in various applications, including personal…

cs.CV2023

Evaluating The Robustness of Self-Supervised Representations to Background/Foreground Removal

Xavier F. Cadet, Ranya Aloufi, Alain Miranville +2

Despite impressive empirical advances of SSL in solving various tasks, the problem of understanding and characterizing SSL representations learned from input data remains relativel…

cs.CL2023

A study on the impact of Self-Supervised Learning on automatic dysarthric speech assessment

Xavier F. Cadet, Ranya Aloufi, Sara Ahmadi-Abhari +1

Automating dysarthria assessments offers the opportunity to develop practical, low-cost tools that address the current limitations of manual and subjective assessments. Nonetheless…

cs.CY2022

On-Device Voice Authentication with Paralinguistic Privacy

Ranya Aloufi, Hamed Haddadi, David Boyle

Using our voices to access, and interact with, online services raises concerns about the trade-offs between convenience, privacy, and security. The conflict between maintaining pri…

cs.CR2021★ 1 cited

A Tandem Framework Balancing Privacy and Security for Voice User Interfaces

Ranya Aloufi, Hamed Haddadi, David Boyle

Speech synthesis, voice cloning, and voice conversion techniques present severe privacy and security threats to users of voice user interfaces (VUIs). These techniques transform on…

cs.CL2021

Configurable Privacy-Preserving Automatic Speech Recognition

Ranya Aloufi, Hamed Haddadi, David Boyle

Voice assistive technologies have given rise to far-reaching privacy and security concerns. In this paper we investigate whether modular automatic speech recognition (ASR) can impr…

cs.CL2020★ 2 cited

Paralinguistic Privacy Protection at the Edge

Ranya Aloufi, Hamed Haddadi, David Boyle

Voice user interfaces and digital assistants are rapidly entering our lives and becoming singular touch points spanning our devices. These always-on services capture and transmit o…

eess.AS2020★ 33 cited

Privacy-preserving Voice Analysis via Disentangled Representations

Ranya Aloufi, Hamed Haddadi, David Boyle

Voice User Interfaces (VUIs) are increasingly popular and built into smartphones, home assistants, and Internet of Things (IoT) devices. Despite offering an always-on convenient us…

eess.AS2019

Emotion Filtering at the Edge

Ranya Aloufi, Hamed Haddadi, David Boyle

Voice controlled devices and services have become very popular in the consumer IoT. Cloud-based speech analysis services extract information from voice inputs using speech recognit…

cs.CR2019★ 16 cited

Emotionless: Privacy-Preserving Speech Analysis for Voice Assistants

Ranya Aloufi, Hamed Haddadi, David Boyle

Voice-enabled interactions provide more human-like experiences in many popular IoT systems. Cloud-based speech analysis services extract useful information from voice input using s…