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researcher

Ajith Suresh

Technical University of Darmstadt

14 papers hereh-index 161.7k citations37 works total

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

author position
  • sole author1
  • middle author5
  • last author7

Across the 13 of 14 papers where every author was matched, so the position is known.

fields
  • cs.CR12
  • cs.LG2
affiliations
  • Technical University of Darmstadt
  • Indian Institute of Science
Homepage

identity via Semantic Scholar / OpenAlex

activity
20192024
most citedTrident: Efficient 4PC Framework for Privacy Preserving Machine Learning

147 citations · 393 across the 14 of their papers we have counts for

collaborators
Showing 2020Show all

2 papers · 1 filter

cs.CR2020★ 15 cited

BLAZE: Blazing Fast Privacy-Preserving Machine Learning

Arpita Patra, Ajith Suresh

Machine learning tools have illustrated their potential in many significant sectors such as healthcare and finance, to aide in deriving useful inferences. The sensitive and confide…

cs.CR2020★ 36 cited

SWIFT: Super-fast and Robust Privacy-Preserving Machine Learning

Nishat Koti, Mahak Pancholi, Arpita Patra +1

Performing machine learning (ML) computation on private data while maintaining data privacy, aka Privacy-preserving Machine Learning~(PPML), is an emergent field of research. Recen…

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