Running Privacy-Preserving Inferences on Hugging Face Endpoints

Public AI on Hugging Face Inference Providers 🔥

Getting Started with Hugging Face Inference Endpoints

Baseten on Hugging Face Inference Providers 🔥

Cohere on Hugging Face Inference Providers 🔥

FaceLinkGen: A Re-evaluation of Identity Leakage in Privacy-Preserving Face Recognition and Face Anonymization Systems Using Simple Distillation

arXiv:2602.02914v4 Announce Type: replace Abstract: Privacy-preserving face recognition (PPFR) and face anonymization have different goals, but both must retain some identity-related information for...

PromptGraph: Graph-Guided Prompt Sanitization for Balancing Privacy and Utility in LLM Inference

arXiv:2607. 10709v1 Announce Type: cross Abstract: Large Language Model (LLM) services introduce a fundamental privacy challenge.

An overview of inference solutions on Hugging Face

Groq on Hugging Face Inference Providers 🔥

Revisiting the Provable-Auditable Privacy Gap of DP-SGD

arXiv:2608.28934v1 Announce Type: new Abstract: Differential privacy (DP) has traditionally been used to provide theoretical upper bounds on an algorithm's stability to changing its training data. In...

OVHcloud on Hugging Face Inference Providers 🔥

VaultGemma: The world's most capable differentially private LLM

We introduce VaultGemma, the most capable model trained from scratch with differential privacy.

Scaleway on Hugging Face Inference Providers 🔥