Fetching the paper…
Reading the bibliography…
Large language models (LLMs) have demonstrated powerful capabilities in both text understanding and generation.
Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al. 2020 · 1901
Earlier work this paper cites.
Entangled watermarks as a defense against model extraction
Hengrui Jia, Christopher A. Choquette-Choo, Varun Chandrasekaran, and Nicolas Papernot. 2021 · 1954
Earlier work this paper cites.
Spam filtering with naive bayes-which naive bayes?
Vangelis Metsis, Ion Androutsopoulos, and Georgios Paliouras. 2006 · 2006
Earlier work this paper cites.
Digital watermarking and steganography
Ingemar Cox, Matthew Miller, Jeffrey Bloom, Jessica Fridrich, and Ton Kalker. 2007 · 2007
Earlier work this paper cites.
Recursive deep models for semantic compositionality over a sentiment treebank
Richard Socher, Alex Perelygin, Jean Wu, Jason Chuang, Christopher D. Manning, Andrew Ng, and Christopher Potts. 2013 · 2013
Earlier work this paper cites.
Kolmogorov–smirnov test: Overview
Vance W Berger and YanYan Zhou. 2014 · 2014
Earlier work this paper cites.
Character-level convolutional networks for text classification
Xiang Zhang, Junbo Jake Zhao, and Yann LeCun. 2015 · 2015
Earlier work this paper cites.
Pointer sentinel mixture models
Stephen Merity, Caiming Xiong, James Bradbury, and Richard Socher. 2017 · 2017
Earlier work this paper cites.
Embedding watermarks into deep neural networks
Yusuke Uchida, Yuki Nagai, Shigeyuki Sakazawa, and Shin’ichi Satoh. 2017 · 2017
Earlier work this paper cites.
Turning your weakness into a strength: Watermarking deep neural networks by backdooring
Yossi Adi, Carsten Baum, Moustapha Cisse, Benny Pinkas, and Joseph Keshet. 2018 · 2018
Earlier work this paper cites.
Redefine statistical significance
Daniel J Benjamin, James O Berger, Magnus Johannesson, Brian A Nosek, E-J Wagenmakers, Richard Berk, Kenneth A Bollen, Björn Brembs, Lawrence Brown, Colin Camerer, et al. 2018 · 2018
Cited alongside, same era.
BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Cited alongside, same era.
Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter. 2019 · 2019
Cited alongside, same era.
Knockoff nets: Stealing functionality of black-box models
Tribhuvanesh Orekondy, Bernt Schiele, and Mario Fritz. 2019 · 2019
Cited alongside, same era.
Thieves on sesame street! model extraction of bert-based apis
Kalpesh Krishna, Gaurav Singh Tomar, Ankur P. Parikh, Nicolas Papernot, and Mohit Iyyer. 2020 · 2020
Cited alongside, same era.
Adversarial frontier stitching for remote neural network watermarking
A systematic review on model watermarking for neural networks
Franziska Boenisch. 2021 · 2021
Later among the works it cites.
BadNL: Backdoor attacks against NLP models
Xiaoyi Chen, Ahmed Salem, Michael Backes, Shiqing Ma, and Yang Zhang. 2021 · 2021
Later among the works it cites.
Hidden backdoors in human-centric language models
Shaofeng Li, Hui Liu, Tian Dong, Benjamin Zi Hao Zhao, Minhui Xue, Haojin Zhu, and Jialiang Lu. 2021 · 2021
Later among the works it cites.
Dawn: Dynamic adversarial watermarking of neural networks
Sebastian Szyller, Buse Gul Atli, Samuel Marchal, and N Asokan. 2021 · 2021
Later among the works it cites.
Red alarm for pre-trained models: Universal vulnerability to neuron-level backdoor attacks
Zhengyan Zhang, Guangxuan Xiao, Yongwei Li, Tian Lv, Fanchao Qi, Zhiyuan Liu, Yasheng Wang, Xin Jiang, and Maosong Sun. 2021 · 2021
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Erwan Le Merrer, Patrick Perez, and Gilles Trédan. 2020 · 2020
Cited alongside, same era.
Protecting the intellectual property of deep neural networks with watermarking: The frequency domain approach
Meng Li, Qi Zhong, Leo Yu Zhang, Yajuan Du, Jun Zhang, and Yong Xiang. 2020 · 2020
Cited alongside, same era.
Watermarking in deep neural networks via error back-propagation
Jiangfeng Wang, Hanzhou Wu, Xinpeng Zhang, and Yuwei Yao. 2020 · 2020
Cited alongside, same era.
MIND: A large-scale dataset for news recommendation
Fangzhao Wu, Ying Qiao, Jiun-Hung Chen, Chuhan Wu, Tao Qi, Jianxun Lian, Danyang Liu, Xing Xie, Jianfeng Gao, Winnie Wu, and Ming Zhou. 2020 · 2020
Cited alongside, same era.
Analyzing information leakage of updates to natural language models
Santiago Zanella-Béguelin, Lukas Wutschitz, Shruti Tople, Victor Rühle, Andrew Paverd, Olga Ohrimenko, Boris Köpf, and Marc Brockschmidt. 2020 · 2020
Cited alongside, same era.
Protecting intellectual property of language generation apis with lexical watermark
Xuanli He, Qiongkai Xu, Lingjuan Lyu, Fangzhao Wu, and Chenguang Wang. 2022a
Cited in the paper.
CATER: Intellectual property protection on text generation APIs via conditional watermarks
Xuanli He, Qiongkai Xu, Yi Zeng, Lingjuan Lyu, Fangzhao Wu, Jiwei Li, and Ruoxi Jia. 2022b
Cited in the paper.
Badpre: Task-agnostic backdoor attacks to pre-trained NLP foundation models
Kangjie Chen, Yuxian Meng, Xiaofei Sun, Shangwei Guo, Tianwei Zhang, Jiwei Li, and Chun Fan. 2022 · 2022
Later among the works it cites.
Protect, show, attend and tell: Empowering image captioning models with ownership protection
Jian Han Lim, Chee Seng Chan, Kam Woh Ng, Lixin Fan, and Qiang Yang. 2022 · 2022
Later among the works it cites.
Stolenencoder: Stealing pre-trained encoders in self-supervised learning
Yupei Liu, Jinyuan Jia, Hongbin Liu, and Neil Zhenqiang Gong. 2022 · 2022
Later among the works it cites.
Llama: Open and efficient foundation language models
Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, et al. 2023 · 2023
Closest in time.
Be careful about poisoned word embeddings: Exploring the vulnerability of the embedding layers in NLP models
Wenkai Yang, Lei Li, Zhiyuan Zhang, Xuancheng Ren, Xu Sun, and Bin He. 2021 · 2058
Closest in time.