5 papers
Pseudorandom Functions in from LWE/LPN/CDH (Or: How to Build PRFs in , Generically)
Youlong Ding, Aayush Jain, Ilan Komargodski
We present a new generic transformation from weak PRFs computable in depth to strong PRFs computable in depth . This construction refines the classical…
Linear-Time Verification of Rings and Fields
Youlong Ding
We consider the following problems: Given two tables defining binary operations and on a set of elements, decide whether forms a ring…
SharedRequest: Privacy-Preserving Model-Agnostic Inference for Large Language Models
Peihua Mai, Xuanrong Gao, Youlong Ding +3
With the widespread deployment of public large language models (LLMs) such as ChatGPT, protecting user prompt privacy has become an increasingly critical issue. Existing privacy-pr…
SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding
Peihua Mai, Youlong Ding, Ziyan Lyu +2
Federated recommender system (FedRec) has emerged as a solution to protect user data through collaborative training techniques. A typical FedRec involves transmitting the full mode…
Delving into Differentially Private Transformer
Youlong Ding, Xueyang Wu, Yining Meng +3
Deep learning with differential privacy (DP) has garnered significant attention over the past years, leading to the development of numerous methods aimed at enhancing model accurac…