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2202.08099
Cited By
Measuring Unintended Memorisation of Unique Private Features in Neural Networks
16 February 2022
J. Hartley
Sotirios A. Tsaftaris
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Papers citing
"Measuring Unintended Memorisation of Unique Private Features in Neural Networks"
7 / 7 papers shown
Membership Inference Risks in Quantized Models: A Theoretical and Empirical Study
Eric Aubinais
Philippe Formont
Pablo Piantanida
Elisabeth Gassiat
347
1
0
10 Feb 2025
Fundamental Limits of Membership Inference Attacks on Machine Learning Models
Eric Aubinais
Elisabeth Gassiat
Pablo Piantanida
MIACV
638
5
0
20 Oct 2023
Dissecting Distribution Inference
Anshuman Suri
Yifu Lu
Yanjin Chen
David Evans
264
17
0
15 Dec 2022
Understanding Rare Spurious Correlations in Neural Networks
Yao-Yuan Yang
Chi-Ning Chou
Kamalika Chaudhuri
AAML
326
31
0
10 Feb 2022
Learning Disentangled Representations in the Imaging Domain
Xiao Liu
Pedro Sanchez
Spyridon Thermos
Alison Q. OÑeil
Sotirios A. Tsaftaris
OOD
DRL
846
92
0
26 Aug 2021
Survey: Leakage and Privacy at Inference Time
Marija Jegorova
Chaitanya Kaul
Charlie Mayor
Alison Q. OÑeil
Alexander Weir
Roderick Murray-Smith
Sotirios A. Tsaftaris
PILM
MIACV
308
92
0
04 Jul 2021
What Neural Networks Memorize and Why: Discovering the Long Tail via Influence Estimation
Neural Information Processing Systems (NeurIPS), 2020
Vitaly Feldman
Chiyuan Zhang
TDI
679
595
0
09 Aug 2020
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