activity
20122026
most citedManaging your Private and Public Data: Bringing down Inference Attacks against your Privacy

70 citations · 293 across the 70 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.AI2024

Multi-Group Proportional Representation in Retrieval

Alex Oesterling, Claudio Mayrink Verdun, Carol Xuan Long +5

Image search and retrieval tasks can perpetuate harmful stereotypes, erase cultural identities, and amplify social disparities. Current approaches to mitigate these representationa…

cs.IT2024

Correlated Privacy Mechanisms for Differentially Private Distributed Mean Estimation

Sajani Vithana, Viveck R. Cadambe, Flavio P. Calmon +1

Differentially private distributed mean estimation (DP-DME) is a fundamental building block in privacy-preserving federated learning, where a central server estimates the mean of $…

cs.CY2024

Selective Explanations

Lucas Monteiro Paes, Dennis Wei, Flavio P. Calmon

Feature attribution methods explain black-box machine learning (ML) models by assigning importance scores to input features. These methods can be computationally expensive for larg…

cs.CY2024★ 1 cited

Algorithmic Arbitrariness in Content Moderation

Juan Felipe Gomez, Caio Vieira Machado, Lucas Monteiro Paes +1

Machine learning (ML) is widely used to moderate online content. Despite its scalability relative to human moderation, the use of ML introduces unique challenges to content moderat…

cs.LG2024★ 3 cited

Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE)

Usha Bhalla, Alex Oesterling, Suraj Srinivas +2

CLIP embeddings have demonstrated remarkable performance across a wide range of multimodal applications. However, these high-dimensional, dense vector representations are not easil…