Data Leakage via Access Patterns of Sparse Features in Deep Learning-based Recommendation Systems

12 December 2022

Papers citing "Data Leakage via Access Patterns of Sparse Features in Deep Learning-based Recommendation Systems"

4 / 4 papers shown

Title
RecShard: Statistical Feature-Based Memory Optimization for Industry-Scale Neural Recommendation Geet Sethi Bilge Acun Niket Agarwal Christos Kozyrakis Caroline Trippel Carole-Jean Wu 47 66 0 25 Jan 2022
Learnable Embedding Sizes for Recommender Systems Siyi Liu Chen Gao Yihong Chen Depeng Jin Yong Li 59 82 0 19 Jan 2021
Extracting Training Data from Large Language Models Nicholas Carlini Florian Tramèr Eric Wallace Matthew Jagielski Ariel Herbert-Voss ... Tom B. Brown D. Song Ulfar Erlingsson Alina Oprea Colin Raffel MLAU SILM 290 1,812 0 14 Dec 2020
Stealing Links from Graph Neural Networks Xinlei He Jinyuan Jia Michael Backes Neil Zhenqiang Gong Yang Zhang AAML 63 168 0 05 May 2020