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Emma Andrews

8 papers hereh-index 220 citations16 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author6
  • middle author2

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • quant-ph5
  • cs.AI1
  • cs.CV1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedPrivacy-Preserving Debiasing using Data Augmentation and Machine Unlearning

1 citations · 1 across the 8 of their papers we have counts for

collaborators
Showing 2024Show all

2 papers · 1 filter

cs.CV2024

Explainable Metric Learning for Deflating Data Bias

Emma Andrews, Prabhat Mishra

Image classification is an essential part of computer vision which assigns a given input image to a specific category based on the similarity evaluation within given criteria. Whil…

cs.LG2024★ 1 cited

Privacy-Preserving Debiasing using Data Augmentation and Machine Unlearning

Zhixin Pan, Emma Andrews, Laura Chang +1

Data augmentation is widely used to mitigate data bias in the training dataset. However, data augmentation exposes machine learning models to privacy attacks, such as membership in…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.