Authorship Obfuscation in Multilingual Machine-Generated Text Detection

Release strategies and the social impacts of language models

Original

Irene Solaiman, Miles Brundage, Jack Clark, Amanda Askell, Ariel Herbert-Voss, Jeff Wu, Alec Radford, Gretchen Krueger, Jong Wook Kim, Sarah Kreps, et al. 2019 · 1908

Earlier work this paper cites.

Frequent term-based text clustering

Florian Beil, Martin Ester, and Xiaowei Xu. 2002 · 2002

Earlier work this paper cites.

METEOR: An automatic metric for MT evaluation with improved correlation with human judgments

Satanjeev Banerjee and Alon Lavie. 2005 · 2005

Earlier work this paper cites.

Detecting fake content with relative entropy scoring

Thomas Lavergne, Tanguy Urvoy, and François Yvon. 2008 · 2008

Earlier work this paper cites.

Fighting authorship linkability with crowdsourcing

Mishari Almishari, Ekin Oguz, and Gene Tsudik. 2014 · 2014

Earlier work this paper cites.

Author masking through translation—notebook for pan at clef 2016

Yashwant Keswani, Harsh Trivedi, Parth Mehta, and P Majumder. 2016 · 2016

Earlier work this paper cites.

BERT: pre-training of deep bidirectional transformers for language understanding

Original

Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019

Earlier work this paper cites.

Gltr: Statistical detection and visualization of generated text

Sebastian Gehrmann, Hendrik Strobelt, and Alexander Rush. 2019 · 2019

Earlier work this paper cites.

Language models are unsupervised multitask learners

Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, Ilya Sutskever, et al. 2019 · 2019

Earlier work this paper cites.

Defending against neural fake news

Rowan Zellers, Ari Holtzman, Hannah Rashkin, Yonatan Bisk, Ali Farhadi, Franziska Roesner, and Yejin Choi. 2019 · 2019

Earlier work this paper cites.

BERTScore: Evaluating text generation with BERT

Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q Weinberger, and Yoav Artzi. 2019 · 2019

Earlier work this paper cites.

Unsupervised cross-lingual representation learning at scale

Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, and Veselin Stoyanov. 2020 · 2020

Earlier work this paper cites.

Multilingual universal sentence encoder for semantic retrieval

Yinfei Yang, Daniel Cer, Amin Ahmad, Mandy Guo, Jax Law, Noah Constant, Gustavo Hernandez Abrego, Steve Yuan, Chris Tar, Yun-Hsuan Sung, et al. 2020 · 2020

Earlier work this paper cites.

Extracting training data from large language models

Nicholas Carlini, Florian Tramer, Eric Wallace, Matthew Jagielski, Ariel Herbert-Voss, Katherine Lee, Adam Roberts, Tom Brown, Dawn Song, Ulfar Erlingsson, et al. 2021 · 2021

Earlier work this paper cites.

Beyond english-centric multilingual machine translation

Angela Fan, Shruti Bhosale, Holger Schwenk, Zhiyi Ma, Ahmed El-Kishky, Siddharth Goyal, Mandeep Baines, Onur Celebi, Guillaume Wenzek, Vishrav Chaudhary, et al. 2021 · 2021

Earlier work this paper cites.

Through the looking glass: Learning to attribute synthetic text generated by language models

Shaoor Munir, Brishna Batool, Zubair Shafiq, Padmini Srinivasan, and Fareed Zaffar. 2021 · 2021

Earlier work this paper cites.

Are multilingual BERT models robust? A case study on adversarial attacks for multilingual question answering

Original

Sara Rosenthal, Mihaela Bornea, and Avirup Sil. 2021 · 2021

Earlier work this paper cites.

Turingbench: A benchmark environment for turing test in the age of neural text generation

Adaku Uchendu, Zeyu Ma, Thai Le, Rui Zhang, and Dongwon Lee. 2021 · 2021

Earlier work this paper cites.

TextFlint: Unified multilingual robustness evaluation toolkit for natural language processing

Xiao Wang, Qin Liu, Tao Gui, Qi Zhang, Yicheng Zou, Xin Zhou, Jiacheng Ye, Yongxin Zhang, Rui Zheng, Zexiong Pang, Qinzhuo Wu, Zhengyan Li, Chong Zhang, Ruotian Ma, Zichu Fei, Ruijian Cai, Jun Zhao, Xingwu Hu, Zhiheng Yan, Yiding Tan, Yuan Hu, Qiyuan Bian, Zhihua Liu, Shan Qin, Bolin Zhu, Xiaoyu Xing, Jinlan Fu, Yue Zhang, Minlong Peng, Xiaoqing Zheng, Yaqian Zhou, Zhongyu Wei, Xipeng Qiu, and Xuanjing Huang. 2021 · 2021

Earlier work this paper cites.

Whodunit? learning to contrast for authorship attribution

Bo Ai, Yuchen Wang, Yugin Tan, and Samson Tan. 2022 · 2022

Earlier work this paper cites.

A multifaceted framework to evaluate evasion, content preservation, and misattribution in authorship obfuscation techniques

Malik Altakrori, Thomas Scialom, Benjamin C. M. Fung, and Jackie Chi Kit Cheung. 2022 · 2022

Earlier work this paper cites.

Scaling instruction-finetuned language models

Original

Hyung Won Chung, Le Hou, Shayne Longpre, Barret Zoph, Yi Tay, William Fedus, Yunxuan Li, Xuezhi Wang, Mostafa Dehghani, Siddhartha Brahma, et al. 2022 · 2022

Earlier work this paper cites.

No language left behind: Scaling human-centered machine translation

Original

Marta R Costa-jussà, James Cross, Onur Çelebi, Maha Elbayad, Kenneth Heafield, Kevin Heffernan, Elahe Kalbassi, Janice Lam, Daniel Licht, Jean Maillard, et al. 2022 · 2022

Cited alongside, same era.

Adversarial robustness of neural-statistical features in detection of generative transformers

Evan Crothers, Nathalie Japkowicz, Herna Viktor, and Paula Branco. 2022 · 2022

Cited alongside, same era.

Debertav3: Improving deberta using electra-style pre-training with gradient-disentangled embedding sharing

Pengcheng He, Jianfeng Gao, and Weizhu Chen. 2022 · 2022

Cited alongside, same era.

OPT-IML: Scaling language model instruction meta learning through the lens of generalization

Original

Srinivasan Iyer, Xi Victoria Lin, Ramakanth Pasunuru, Todor Mihaylov, Dániel Simig, Ping Yu, Kurt Shuster, Tianlu Wang, Qing Liu, Punit Singh Koura, et al. 2022 · 2022

Cited alongside, same era.

DetectGPT: Zero-shot machine-generated text detection using probability curvature

Original

Eric Mitchell, Yoonho Lee, Alexander Khazatsky, Christopher D. Manning, and Chelsea Finn. 2023 · 2023

Later among the works it cites.

Scalable extraction of training data from (production) language models

Original

Milad Nasr, Nicholas Carlini, Jonathan Hayase, Matthew Jagielski, A Feder Cooper, Daphne Ippolito, Christopher A Choquette-Choo, Eric Wallace, Florian Tramèr, and Katherine Lee. 2023 · 2023

Later among the works it cites.

Deepfake text detection: Limitations and opportunities

Jiameng Pu, Zain Sarwar, Sifat Muhammad Abdullah, Abdullah Rehman, Yoonjin Kim, Parantapa Bhattacharya, Mobin Javed, and Bimal Viswanath. 2023 · 2023

Later among the works it cites.

Can ai-generated text be reliably detected?

Original

Vinu Sankar Sadasivan, Aounon Kumar, Sriram Balasubramanian, Wenxiao Wang, and Soheil Feizi. 2023 · 2023

Later among the works it cites.