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Minimizing Risk Through Minimizing Model-Data Interaction: A Protocol For Relying on Proxy Tasks When Designing Child Sexual Abuse Imagery Detection Models

Minimizing Risk Through Minimizing Model-Data Interaction: A Protocol For Relying on Proxy Tasks When Designing Child Sexual Abuse Imagery Detection Models

10 May 2025
Thamiris Coelho
Leo S. F. Ribeiro
João Macedo
J. A. dos Santos
Sandra Avila
ArXiv (abs)PDFHTML

Papers citing "Minimizing Risk Through Minimizing Model-Data Interaction: A Protocol For Relying on Proxy Tasks When Designing Child Sexual Abuse Imagery Detection Models"

12 / 12 papers shown
Title
Seeing without Looking: Analysis Pipeline for Child Sexual Abuse
  Datasets
Seeing without Looking: Analysis Pipeline for Child Sexual Abuse Datasets
Camila Laranjeira
João Macedo
Sandra Avila
J. A. dos Santos
51
19
0
29 Apr 2022
Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning
  Research
Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning Research
Bernard Koch
Emily L. Denton
A. Hanna
J. Foster
100
150
0
03 Dec 2021
Learning to Break Deep Perceptual Hashing: The Use Case NeuralHash
Learning to Break Deep Perceptual Hashing: The Use Case NeuralHash
Lukas Struppek
Dominik Hintersdorf
Daniel Neider
Kristian Kersting
MIACV
64
49
0
12 Nov 2021
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
Basel Alomair
Ulfar Erlingsson
Alina Oprea
Colin Raffel
MLAUSILM
507
1,943
0
14 Dec 2020
Attribute Privacy: Framework and Mechanisms
Attribute Privacy: Framework and Mechanisms
Wanrong Zhang
O. Ohrimenko
Rachel Cummings
57
38
0
08 Sep 2020
Evaluating Performance of an Adult Pornography Classifier for Child
  Sexual Abuse Detection
Evaluating Performance of an Adult Pornography Classifier for Child Sexual Abuse Detection
Mhd Wesam Al Nabki
Eduardo FIDALGO
Roberto Andrés Vasco Carofilis
Francisco Jánez-Martino
Javier Velasco-Mata
26
4
0
18 May 2020
FOSNet: An End-to-End Trainable Deep Neural Network for Scene
  Recognition
FOSNet: An End-to-End Trainable Deep Neural Network for Scene Recognition
Hongje Seong
Junhyuk Hyun
Euntai Kim
26
51
0
17 Jul 2019
Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions
Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions
Han-Jia Ye
Hexiang Hu
De-Chuan Zhan
Fei Sha
132
666
0
10 Dec 2018
Learning to Compare: Relation Network for Few-Shot Learning
Learning to Compare: Relation Network for Few-Shot Learning
Flood Sung
Yongxin Yang
Li Zhang
Tao Xiang
Philip Torr
Timothy M. Hospedales
304
4,049
0
16 Nov 2017
Few-Shot Learning with Graph Neural Networks
Few-Shot Learning with Graph Neural Networks
Victor Garcia Satorras
Joan Bruna
GNN
172
1,240
0
10 Nov 2017
Prototypical Networks for Few-shot Learning
Prototypical Networks for Few-shot Learning
Jake C. Snell
Kevin Swersky
R. Zemel
303
8,145
0
15 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
825
11,937
0
09 Mar 2017
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