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Going Grayscale: The Road to Understanding and Improving Unlearnable
  Examples

Going Grayscale: The Road to Understanding and Improving Unlearnable Examples

25 November 2021
Zhuoran Liu
Zhengyu Zhao
A. Kolmus
Tijn Berns
Twan van Laarhoven
Tom Heskes
Martha Larson
    AAML
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Papers citing "Going Grayscale: The Road to Understanding and Improving Unlearnable Examples"

5 / 5 papers shown
Title
A Survey on Unlearnable Data
A Survey on Unlearnable Data
Jiahao Li
Yiqiang Chen
Yunbing Xing
Yang Gu
Xiangyuan Lan
AAML
55
0
0
30 Mar 2025
Unlearnable Clusters: Towards Label-agnostic Unlearnable Examples
Unlearnable Clusters: Towards Label-agnostic Unlearnable Examples
Jiaming Zhang
Xingjun Ma
Qiaomin Yi
Jitao Sang
Yugang Jiang
Yaowei Wang
Changsheng Xu
13
24
0
31 Dec 2022
Generative Poisoning Using Random Discriminators
Generative Poisoning Using Random Discriminators
Dirren van Vlijmen
A. Kolmus
Zhuoran Liu
Zhengyu Zhao
Martha Larson
20
2
0
02 Nov 2022
Unlearnable Examples: Making Personal Data Unexploitable
Unlearnable Examples: Making Personal Data Unexploitable
Hanxun Huang
Xingjun Ma
S. Erfani
James Bailey
Yisen Wang
MIACV
136
190
0
13 Jan 2021
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
Luca Franceschi
P. Frasconi
Saverio Salzo
Riccardo Grazzi
Massimiliano Pontil
99
716
0
13 Jun 2018
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