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Gaussian Membership Inference Privacy
v1v2 (latest)

Gaussian Membership Inference Privacy

Neural Information Processing Systems (NeurIPS), 2023
12 June 2023
Tobias Leemann
Martin Pawelczyk
Gjergji Kasneci
ArXiv (abs)PDFHTML

Papers citing "Gaussian Membership Inference Privacy"

8 / 8 papers shown
Title
Train Once, Answer All: Many Pretraining Experiments for the Cost of One
Train Once, Answer All: Many Pretraining Experiments for the Cost of One
Sebastian Bordt
Martin Pawelczyk
CLL
148
1
0
27 Sep 2025
Unifying Re-Identification, Attribute Inference, and Data Reconstruction Risks in Differential Privacy
Unifying Re-Identification, Attribute Inference, and Data Reconstruction Risks in Differential Privacy
B. Kulynych
Juan Felipe Gomez
G. Kaissis
Jamie Hayes
Borja Balle
Flavio du Pin Calmon
Jean Louis Raisaro
169
1
0
09 Jul 2025
Efficient Membership Inference Attacks by Bayesian Neural Network
Zhenlong Liu
Wenyu Jiang
Feng Zhou
Jianguo Huang
MIALM
318
3
0
10 Mar 2025
Generalizing Trust: Weak-to-Strong Trustworthiness in Language Models
Martin Pawelczyk
Lillian Sun
Zhenting Qi
Aounon Kumar
Himabindu Lakkaraju
315
5
0
03 Jan 2025
Establishing Minimum Elements for Effective Vulnerability Management in AI Software
Mohamad Fazelnia
Sara Moshtari
Mehdi Mirakhorli
188
2
0
18 Nov 2024
Attack-Aware Noise Calibration for Differential Privacy
Attack-Aware Noise Calibration for Differential Privacy
B. Kulynych
Juan Felipe Gomez
G. Kaissis
Flavio du Pin Calmon
Carmela Troncoso
298
15
0
02 Jul 2024
Machine Unlearning Fails to Remove Data Poisoning Attacks
Machine Unlearning Fails to Remove Data Poisoning Attacks
Martin Pawelczyk
Jimmy Z. Di
Yiwei Lu
Gautam Kamath
Ayush Sekhari
Seth Neel
AAMLMU
454
25
0
25 Jun 2024
OSLO: One-Shot Label-Only Membership Inference Attacks
OSLO: One-Shot Label-Only Membership Inference Attacks
Yuefeng Peng
Jaechul Roh
Subhransu Maji
Amir Houmansadr
207
8
0
27 May 2024
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