Search Results for author: Siddharth D Jaiswal

Found 4 papers, 0 papers with code

Mask-up: Investigating Biases in Face Re-identification for Masked Faces

no code implementations21 Feb 2024 Siddharth D Jaiswal, Ankit Kr. Verma, Animesh Mukherjee

Three of the commercial and five of the open-source FRSs are highly inaccurate; they further perpetuate biases against non-White individuals, with the lowest accuracy being 0%.

Face Recognition

Auditing Gender Analyzers on Text Data

no code implementations9 Oct 2023 Siddharth D Jaiswal, Ankit Kumar Verma, Animesh Mukherjee

Predictions for non-binary comments on all platforms are mostly female, thus propagating the societal bias that non-binary individuals are effeminate.

A Deep Dive into the Disparity of Word Error Rates Across Thousands of NPTEL MOOC Videos

no code implementations20 Jul 2023 Anand Kumar Rai, Siddharth D Jaiswal, Animesh Mukherjee

Automatic speech recognition (ASR) systems are designed to transcribe spoken language into written text and find utility in a variety of applications including voice assistants and transcription services.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1

Two-Face: Adversarial Audit of Commercial Face Recognition Systems

no code implementations17 Nov 2021 Siddharth D Jaiswal, Karthikeya Duggirala, Abhisek Dash, Animesh Mukherjee

Computer vision applications like automated face detection are used for a variety of purposes ranging from unlocking smart devices to tracking potential persons of interest for surveillance.

Face Detection Face Recognition +1

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