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Shadow-Free Membership Inference Attacks: Recommender Systems Are More
  Vulnerable Than You Thought

Shadow-Free Membership Inference Attacks: Recommender Systems Are More Vulnerable Than You Thought

11 May 2024
Xiaoxiao Chi
Xuyun Zhang
Yan Wang
Lianyong Qi
Amin Beheshti
Xiaolong Xu
Kim-Kwang Raymond Choo
Shuo Wang
Hongsheng Hu
ArXivPDFHTML

Papers citing "Shadow-Free Membership Inference Attacks: Recommender Systems Are More Vulnerable Than You Thought"

3 / 3 papers shown
Title
Debiasing Learning for Membership Inference Attacks Against Recommender
  Systems
Debiasing Learning for Membership Inference Attacks Against Recommender Systems
Zihan Wang
Na Huang
Fei Sun
Pengjie Ren
Zhumin Chen
Hengliang Luo
Maarten de Rijke
Z. Ren
AAML
22
14
0
24 Jun 2022
Extracting Training Data from Large Language Models
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
1,814
0
14 Dec 2020
Systematic Evaluation of Privacy Risks of Machine Learning Models
Systematic Evaluation of Privacy Risks of Machine Learning Models
Liwei Song
Prateek Mittal
MIACV
196
358
0
24 Mar 2020
1