From the 1 of 16 linked papers with an AI index.
16 papers
Fixed-Parameter Tractability of Private Synthetic Data Generation
Badih Ghazi, Cristóbal Guzmán, Pritish Kamath +3
The paper investigates generating differentially private synthetic data and shows that the problem is fixed-parameter tractable when parameterized by the treewidth of the query fam…
When Majority Fails: Tight Bounds for Correlation Distillation Conjectures
Pritish Kamath, Ravi Kumar, Pasin Manurangsi
We study two conjectures posed in the analysis of Boolean functions , in both of which, the Majority function plays a central role: the "Majority is…
Denoising the US Census: Succinct Block Hierarchical Regression
Badih Ghazi, Pritish Kamath, Ravi Kumar +2
The US Census Bureau Disclosure Avoidance System (DAS) balances confidentiality and utility requirements for the decennial US Census (Abowd et al., 2022). The DAS was used in the 2…
Computational Hardness of Private Coreset
Badih Ghazi, Cristóbal Guzmán, Pritish Kamath +3
We study the problem of differentially private (DP) computation of coreset for the -means objective. For a given input set of points, a coreset is another set of points such tha…
Scaling Embedding Layers in Language Models
Da Yu, Edith Cohen, Badih Ghazi +5
We propose (calable, ontextualized, ffloaded, -gram mbedding), a new method for extending input embedding layers to enhance language model performance. To av…
VaultGemma: A Differentially Private Gemma Model
Amer Sinha, Thomas Mesnard, Ryan McKenna +18
We introduce VaultGemma 1B, a 1 billion parameter model within the Gemma family, fully trained with differential privacy. Pretrained on the identical data mixture used for the Gemm…