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Nathalie Baracaldo

31 papers hereh-index 214.9k citations59 works total

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

author position
  • sole author1
  • first author2
  • middle author23
  • last author5

Across the 31 of 31 papers where every author was matched, so the position is known.

fields
  • cs.LG20
  • cs.CR7
  • cs.AI3
  • cs.CL1
same name
  • Nathalie Baracaldo — 10 papers, h 5
  • Nathalie Baracaldo — 3 papers, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182026
most citedHybridAlpha: An Efficient Approach for Privacy-Preserving Federated Learning

302 citations · 947 across the 30 of their papers we have counts for

collaborators
Showing cs.AIShow all

3 papers · 1 filter

cs.AI2026

Granite.Trust Policy Tools: Shareable, Actionable Policies for Generative AI Applications

Nathalie Baracaldo, Nicolas Mello, Kush R. Varshney +3

When it comes to safety policies for generative AI, one size does not fit all. Each organization and use case needs to mitigate different risks depending on the application context…

cs.AI2024

MAP: Multi-Human-Value Alignment Palette

Xinran Wang, Qi Le, Ammar Ahmed +5

Ensuring that generative AI systems align with human values is essential but challenging, especially when considering multiple human values and their potential trade-offs. Since hu…

cs.AI2022★ 10 cited

Towards an Accountable and Reproducible Federated Learning: A FactSheets Approach

Nathalie Baracaldo, Ali Anwar, Mark Purcell +8

Federated Learning (FL) is a novel paradigm for the shared training of models based on decentralized and private data. With respect to ethical guidelines, FL is promising regarding…

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