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Exploring the Limits of Model-Targeted Indiscriminate Data Poisoning
  Attacks

Exploring the Limits of Model-Targeted Indiscriminate Data Poisoning Attacks

7 March 2023
Yiwei Lu
Gautam Kamath
Yaoliang Yu
    AAML
ArXivPDFHTML

Papers citing "Exploring the Limits of Model-Targeted Indiscriminate Data Poisoning Attacks"

4 / 4 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
39
7
0
25 Jun 2024
Unlearnable Examples: Making Personal Data Unexploitable
Unlearnable Examples: Making Personal Data Unexploitable
Hanxun Huang
Xingjun Ma
S. Erfani
James Bailey
Yisen Wang
MIACV
131
155
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
236
1,508
0
31 Dec 2020
Threats to Federated Learning: A Survey
Threats to Federated Learning: A Survey
Lingjuan Lyu
Han Yu
Qiang Yang
FedML
175
427
0
04 Mar 2020
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