Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2205.12506
Cited By
Memorization in NLP Fine-tuning Methods
25 May 2022
Fatemehsadat Mireshghallah
Archit Uniyal
Tianhao Wang
David E. Evans
Taylor Berg-Kirkpatrick
AAML
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Memorization in NLP Fine-tuning Methods"
7 / 7 papers shown
Title
Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models
C. L. P. Chen
Daochang Liu
M. Shah
Chang Xu
57
1
0
25 Apr 2025
On the Implicit Relation Between Low-Rank Adaptation and Differential Privacy
Saber Malekmohammadi
G. Farnadi
22
2
0
26 Sep 2024
Strong Copyright Protection for Language Models via Adaptive Model Fusion
Javier Abad
Konstantin Donhauser
Francesco Pinto
Fanny Yang
35
4
0
29 Jul 2024
FLTrojan: Privacy Leakage Attacks against Federated Language Models Through Selective Weight Tampering
Md. Rafi Ur Rashid
Vishnu Asutosh Dasu
Kang Gu
Najrin Sultana
Shagufta Mehnaz
AAML
FedML
42
10
0
24 Oct 2023
Does fine-tuning GPT-3 with the OpenAI API leak personally-identifiable information?
A. Sun
Eliott Zemour
Arushi Saxena
Udith Vaidyanathan
Eric Lin
Christian Lau
Vaikkunth Mugunthan
SILM
22
18
0
31 Jul 2023
Memorisation versus Generalisation in Pre-trained Language Models
Michael Tänzer
Sebastian Ruder
Marek Rei
84
50
0
16 Apr 2021
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
267
1,798
0
14 Dec 2020
1