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Indiscriminate Data Poisoning Attacks on Pre-trained Feature Extractors

Indiscriminate Data Poisoning Attacks on Pre-trained Feature Extractors

20 February 2024
Yiwei Lu
Matthew Y.R. Yang
Gautam Kamath
Yaoliang Yu
    AAML
    SILM
ArXivPDFHTML

Papers citing "Indiscriminate Data Poisoning Attacks on Pre-trained Feature Extractors"

6 / 6 papers shown
Title
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
AAML
MU
52
8
0
25 Jun 2024
Exploring the Limits of Model-Targeted Indiscriminate Data Poisoning
  Attacks
Exploring the Limits of Model-Targeted Indiscriminate Data Poisoning Attacks
Yiwei Lu
Gautam Kamath
Yaoliang Yu
AAML
37
17
0
07 Mar 2023
Unlearnable Examples: Making Personal Data Unexploitable
Unlearnable Examples: Making Personal Data Unexploitable
Hanxun Huang
Xingjun Ma
S. Erfani
James Bailey
Yisen Wang
MIACV
136
189
0
13 Jan 2021
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
Leo Gao
Stella Biderman
Sid Black
Laurence Golding
Travis Hoppe
...
Horace He
Anish Thite
Noa Nabeshima
Shawn Presser
Connor Leahy
AIMat
245
1,977
0
31 Dec 2020
Threats to Federated Learning: A Survey
Threats to Federated Learning: A Survey
Lingjuan Lyu
Han Yu
Qiang Yang
FedML
186
427
0
04 Mar 2020
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
229
74,467
0
18 May 2015
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