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Defending Our Privacy With Backdoors

Defending Our Privacy With Backdoors

12 October 2023
Dominik Hintersdorf
Lukas Struppek
Daniel Neider
Kristian Kersting
    SILM
    AAML
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Papers citing "Defending Our Privacy With Backdoors"

6 / 6 papers shown
Title
BadCLIP: Dual-Embedding Guided Backdoor Attack on Multimodal Contrastive
  Learning
BadCLIP: Dual-Embedding Guided Backdoor Attack on Multimodal Contrastive Learning
Siyuan Liang
Mingli Zhu
Aishan Liu
Baoyuan Wu
Xiaochun Cao
Ee-Chien Chang
32
50
0
20 Nov 2023
Trustworthy Large Models in Vision: A Survey
Trustworthy Large Models in Vision: A Survey
Ziyan Guo
Li Xu
Jun Liu
MU
64
0
0
16 Nov 2023
Who's Harry Potter? Approximate Unlearning in LLMs
Who's Harry Potter? Approximate Unlearning in LLMs
Ronen Eldan
M. Russinovich
MU
MoMe
101
175
0
03 Oct 2023
A Survey of Machine Unlearning
A Survey of Machine Unlearning
Thanh Tam Nguyen
T. T. Huynh
Phi Le Nguyen
Alan Wee-Chung Liew
Hongzhi Yin
Quoc Viet Hung Nguyen
MU
77
221
0
06 Sep 2022
Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks
Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks
Lukas Struppek
Dominik Hintersdorf
Antonio De Almeida Correia
Antonia Adler
Kristian Kersting
MIACV
60
62
0
28 Jan 2022
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
D. Song
Ulfar Erlingsson
Alina Oprea
Colin Raffel
MLAU
SILM
290
1,815
0
14 Dec 2020
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