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20192024
most citedPreech: A System for Privacy-Preserving Speech Transcription

18 citations · 19 across the 5 of their papers we have counts for

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5 papers

cs.CV2024

CounterFace: A Synthetic Face Dataset for Fine-Grained Counterfactual Evaluation of Face Recognition Systems

Guruprasad Viswanathan Ramesh, Ashish Hooda, Shimaa Ahmed +3

Face recognition (FR) systems are widely deployed in critical applications, making their reliability and robustness across diverse populations and conditions essential. Standard ev…

cs.LG2024

A Picture is Worth 500 Labels: A Case Study of Demographic Disparities in Local Machine Learning Models for Instagram and TikTok

Jack West, Lea Thiemt, Shimaa Ahmed +3

Mobile apps have embraced user privacy by moving their data processing to the user's smartphone. Advanced machine learning (ML) models, such as vision models, can now locally analy…

cs.CV2023

Limitations of Face Image Generation

Harrison Rosenberg, Shimaa Ahmed, Guruprasad V Ramesh +2

Text-to-image diffusion models have achieved widespread popularity due to their unprecedented image generation capability. In particular, their ability to synthesize and modify hum…

cs.LG2022★ 1 cited

Tubes Among Us: Analog Attack on Automatic Speaker Identification

Shimaa Ahmed, Yash Wani, Ali Shahin Shamsabadi +4

Recent years have seen a surge in the popularity of acoustics-enabled personal devices powered by machine learning. Yet, machine learning has proven to be vulnerable to adversarial…

cs.CR2019★ 18 cited

Preech: A System for Privacy-Preserving Speech Transcription

Shimaa Ahmed, Amrita Roy Chowdhury, Kassem Fawaz +1

New Advances in machine learning have made Automated Speech Recognition (ASR) systems practical and more scalable. These systems, however, pose serious privacy threats as speech is…