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Influence Functions in Deep Learning Are Fragile

Influence Functions in Deep Learning Are Fragile

25 June 2020
S. Basu
Phillip E. Pope
S. Feizi
    TDI
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Papers citing "Influence Functions in Deep Learning Are Fragile"

4 / 154 papers shown
Title
Subpopulation Data Poisoning Attacks
Subpopulation Data Poisoning Attacks
Matthew Jagielski
Giorgio Severi
Niklas Pousette Harger
Alina Oprea
AAML
SILM
16
112
0
24 Jun 2020
Trade-offs between membership privacy & adversarially robust learning
Trade-offs between membership privacy & adversarially robust learning
Jamie Hayes
SILM
20
3
0
08 Jun 2020
A disciplined approach to neural network hyper-parameters: Part 1 --
  learning rate, batch size, momentum, and weight decay
A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay
L. Smith
202
1,019
0
26 Mar 2018
Image Segmentation Algorithms Overview
Image Segmentation Algorithms Overview
Yuheng Song
Y. Hao
VLM
SSeg
22
147
0
07 Jul 2017
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