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Property Inference Attacks on Convolutional Neural Networks: Influence
  and Implications of Target Model's Complexity

Property Inference Attacks on Convolutional Neural Networks: Influence and Implications of Target Model's Complexity

27 April 2021
Mathias Parisot
Balázs Pejó
Dayana Spagnuelo
    MIACV
ArXivPDFHTML

Papers citing "Property Inference Attacks on Convolutional Neural Networks: Influence and Implications of Target Model's Complexity"

18 / 18 papers shown
Title
Can Graph Neural Networks Expose Training Data Properties? An Efficient
  Risk Assessment Approach
Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment Approach
Hanyang Yuan
Jiarong Xu
Renhong Huang
Mingli Song
Chunping Wang
Yang Yang
AAML
38
1
0
06 Nov 2024
FRIDA: Free-Rider Detection using Privacy Attacks
FRIDA: Free-Rider Detection using Privacy Attacks
Pol G. Recasens
Ádám Horváth
Alberto Gutierrez-Torre
Jordi Torres
Josep Ll. Berral
Balázs Pejó
FedML
24
0
0
07 Oct 2024
CURE: Privacy-Preserving Split Learning Done Right
CURE: Privacy-Preserving Split Learning Done Right
Halil Ibrahim Kanpak
Aqsa Shabbir
Esra Genç
Alptekin Küpçü
Sinem Sav
17
0
0
12 Jul 2024
Inference Attacks: A Taxonomy, Survey, and Promising Directions
Inference Attacks: A Taxonomy, Survey, and Promising Directions
Feng Wu
Lei Cui
Shaowen Yao
Shui Yu
39
2
0
04 Jun 2024
Unraveling Attacks in Machine Learning-based IoT Ecosystems: A Survey
  and the Open Libraries Behind Them
Unraveling Attacks in Machine Learning-based IoT Ecosystems: A Survey and the Open Libraries Behind Them
Chao-Jung Liu
Boxi Chen
Wei Shao
Chris Zhang
Kelvin Wong
Yi Zhang
19
3
0
22 Jan 2024
Security and Privacy Issues and Solutions in Federated Learning for
  Digital Healthcare
Security and Privacy Issues and Solutions in Federated Learning for Digital Healthcare
Hyejun Jeong
Tai-Myung Chung
FedML
11
1
0
16 Jan 2024
Transpose Attack: Stealing Datasets with Bidirectional Training
Transpose Attack: Stealing Datasets with Bidirectional Training
Guy Amit
Mosh Levy
Yisroel Mirsky
SILM
AAML
26
0
0
13 Nov 2023
Private Training Set Inspection in MLaaS
Private Training Set Inspection in MLaaS
Mingxue Xu
Tongtong Xu
Po-Yu Chen
17
0
0
15 May 2023
MLHOps: Machine Learning for Healthcare Operations
MLHOps: Machine Learning for Healthcare Operations
Kristoffer Larsen
Vallijah Subasri
A. Krishnan
Cláudio Tinoco Mesquita
Diana Paez
Laleh Seyyed-Kalantari
Amalia Peix
LM&MA
AI4TS
VLM
24
2
0
04 May 2023
Class Attribute Inference Attacks: Inferring Sensitive Class Information
  by Diffusion-Based Attribute Manipulations
Class Attribute Inference Attacks: Inferring Sensitive Class Information by Diffusion-Based Attribute Manipulations
Lukas Struppek
Dominik Hintersdorf
Felix Friedrich
Manuel Brack
P. Schramowski
Kristian Kersting
MIACV
25
2
0
16 Mar 2023
Bag of Tricks for Training Data Extraction from Language Models
Bag of Tricks for Training Data Extraction from Language Models
Weichen Yu
Tianyu Pang
Qian Liu
Chao Du
Bingyi Kang
Yan Huang
Min-Bin Lin
Shuicheng Yan
21
47
0
09 Feb 2023
Memorization of Named Entities in Fine-tuned BERT Models
Memorization of Named Entities in Fine-tuned BERT Models
Andor Diera
N. Lell
Aygul Garifullina
A. Scherp
10
0
0
07 Dec 2022
Inferring Class Label Distribution of Training Data from Classifiers: An
  Accuracy-Augmented Meta-Classifier Attack
Inferring Class Label Distribution of Training Data from Classifiers: An Accuracy-Augmented Meta-Classifier Attack
Raksha Ramakrishna
Gyorgy Dán
11
2
0
08 Nov 2022
A Comprehensive Survey on Trustworthy Recommender Systems
A Comprehensive Survey on Trustworthy Recommender Systems
Wenqi Fan
Xiangyu Zhao
Xiao Chen
Jingran Su
Jingtong Gao
...
Qidong Liu
Yiqi Wang
Hanfeng Xu
Lei Chen
Qing Li
FaML
22
46
0
21 Sep 2022
Group Property Inference Attacks Against Graph Neural Networks
Group Property Inference Attacks Against Graph Neural Networks
Xiuling Wang
Wendy Hui Wang
AAML
19
30
0
02 Sep 2022
PPA: Preference Profiling Attack Against Federated Learning
PPA: Preference Profiling Attack Against Federated Learning
Chunyi Zhou
Yansong Gao
Anmin Fu
Kai Chen
Zhiyang Dai
Zhi-Li Zhang
Minhui Xue
Yuqing Zhang
AAML
14
21
0
10 Feb 2022
Privacy-Preserving Machine Learning: Methods, Challenges and Directions
Privacy-Preserving Machine Learning: Methods, Challenges and Directions
Runhua Xu
Nathalie Baracaldo
J. Joshi
19
99
0
10 Aug 2021
Investigating Membership Inference Attacks under Data Dependencies
Investigating Membership Inference Attacks under Data Dependencies
Thomas Humphries
Simon Oya
Lindsey Tulloch
Matthew Rafuse
I. Goldberg
Urs Hengartner
Florian Kerschbaum
MIACV
MIALM
12
35
0
23 Oct 2020
1