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Privacy-Preserving Models for Legal Natural Language Processing

Privacy-Preserving Models for Legal Natural Language Processing

5 November 2022
Ying Yin
Ivan Habernal
    PILM
    AILaw
ArXivPDFHTML

Papers citing "Privacy-Preserving Models for Legal Natural Language Processing"

11 / 11 papers shown
Title
Natural Language Processing for the Legal Domain: A Survey of Tasks, Datasets, Models, and Challenges
Natural Language Processing for the Legal Domain: A Survey of Tasks, Datasets, Models, and Challenges
Farid Ariai
Gianluca Demartini
ELM
AILaw
VLM
50
4
0
25 Oct 2024
The Ethics of Automating Legal Actors
The Ethics of Automating Legal Actors
Josef Valvoda
Alec Thompson
Ryan Cotterell
Simone Teufel
AILaw
ELM
42
1
0
01 Dec 2023
To share or not to share: What risks would laypeople accept to give
  sensitive data to differentially-private NLP systems?
To share or not to share: What risks would laypeople accept to give sensitive data to differentially-private NLP systems?
Christopher F. Weiss
Frauke Kreuter
Ivan Habernal
42
4
0
13 Jul 2023
Training Data Extraction From Pre-trained Language Models: A Survey
Training Data Extraction From Pre-trained Language Models: A Survey
Shotaro Ishihara
53
47
0
25 May 2023
Trade-Offs Between Fairness and Privacy in Language Modeling
Trade-Offs Between Fairness and Privacy in Language Modeling
Cleo Matzken
Steffen Eger
Ivan Habernal
SILM
67
6
0
24 May 2023
LEXTREME: A Multi-Lingual and Multi-Task Benchmark for the Legal Domain
LEXTREME: A Multi-Lingual and Multi-Task Benchmark for the Legal Domain
Joel Niklaus
Veton Matoshi
Pooja Rani
Andrea Galassi
Matthias Sturmer
Ilias Chalkidis
ELM
AILaw
42
56
0
30 Jan 2023
Differentially Private Natural Language Models: Recent Advances and
  Future Directions
Differentially Private Natural Language Models: Recent Advances and Future Directions
Lijie Hu
Ivan Habernal
Lei Shen
Di Wang
AAML
40
19
0
22 Jan 2023
Mining Legal Arguments in Court Decisions
Mining Legal Arguments in Court Decisions
Ivan Habernal
D. Faber
Nicola Recchia
Sebastian Bretthauer
Iryna Gurevych
Indra Spiecker genannt Dohmann
Chr. Burchard
AILaw
19
46
0
12 Aug 2022
Opacus: User-Friendly Differential Privacy Library in PyTorch
Opacus: User-Friendly Differential Privacy Library in PyTorch
Ashkan Yousefpour
I. Shilov
Alexandre Sablayrolles
Davide Testuggine
Karthik Prasad
...
Sayan Gosh
Akash Bharadwaj
Jessica Zhao
Graham Cormode
Ilya Mironov
VLM
173
356
0
25 Sep 2021
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
312
1,852
0
14 Dec 2020
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Zhiwen Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
723
6,755
0
26 Sep 2016
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