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Text Analysis in Adversarial Settings: Does Deception Leave a Stylistic
  Trace?

Text Analysis in Adversarial Settings: Does Deception Leave a Stylistic Trace?

24 February 2019
Tommi Gröndahl
Nadarajah Asokan
ArXivPDFHTML

Papers citing "Text Analysis in Adversarial Settings: Does Deception Leave a Stylistic Trace?"

6 / 6 papers shown
Title
A comparison of several AI techniques for authorship attribution on
  Romanian texts
A comparison of several AI techniques for authorship attribution on Romanian texts
S. Avram
Mihai Oltean
13
4
0
09 Nov 2022
A Comprehensive Survey of Natural Language Generation Advances from the
  Perspective of Digital Deception
A Comprehensive Survey of Natural Language Generation Advances from the Perspective of Digital Deception
Keenan I. Jones
Enes ALTUNCU
V. N. Franqueira
Yi-Chia Wang
Shujun Li
DeLMO
36
3
0
11 Aug 2022
Effective writing style imitation via combinatorial paraphrasing
Effective writing style imitation via combinatorial paraphrasing
Tommi Gröndahl
Nadarajah Asokan
15
7
0
31 May 2019
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
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,746
0
26 Sep 2016
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
218
7,926
0
17 Aug 2015
Authorship detection of SMS messages using unigrams
Authorship detection of SMS messages using unigrams
Roshan Ragel
Pramod Herath
Upul Senanayake
35
22
0
06 Mar 2014
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