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Privacy research has attracted wide attention as individuals worry that their private data can be easily leaked during interactions with smart devices, social platforms, and AI applications.
Using encryption for authentication in large networks of computers
Roger M. Needham and Michael D. Schroeder. 1978 · 1978
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Term-weighting approaches in automatic text retrieval
Gerard Salton and Christopher Buckley. 1988 · 1988
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WordNet: A lexical database for English
George A. Miller. 1994 · 1994
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Using parse tree validation to prevent sql injection attacks
Gregory Buehrer, Bruce W. Weide, and Paolo A. G. Sivilotti. 2005 · 2005
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Privacy and contextual integrity: framework and applications
A. Barth, A. Datta, J.C. Mitchell, and H. Nissenbaum. 2006 · 2006
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Vulnerability & attack injection for web applications
Jose Fonseca, Marco Vieira, and Henrique Madeira. 2009 · 2009
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Different flavours of man-in-the-middle attack, consequences and feasible solutions
Gopi Nath Nayak and Shefalika Ghosh Samaddar. 2010 · 2010
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Privacy in context: Technology, policy, and the integrity of social life
Helen Nissenbaum. 2010 · 2010
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Deep learning with differential privacy
Martin Abadi, Andy Chu, Ian Goodfellow, H. Brendan McMahan, Ilya Mironov, Kunal Talwar, and Li Zhang. 2016 · 2016
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Learning privacy expectations by crowdsourcing contextual informational norms
Yan Shvartzshnaider, Schrasing Tong, Thomas Wies, Paula Kift, Helen Nissenbaum, Lakshminarayanan Subramanian, and Prateek Mittal. 2016 · 2016
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Contextual integrity through the lens of computer science
Sebastian Benthall, Seda Gürses, and Helen Nissenbaum. 2017 · 2017
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Membership inference attacks against machine learning models
R. Shokri, Marco Stronati, Congzheng Song, and Vitaly Shmatikov. 2016 · 2017
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Creating a vocabulary for data privacy
Harshvardhan J. Pandit, Axel Polleres, Bert Bos, Rob Brennan, Bud Bruegger, Fajar J. Ekaputra, Javier D. Fernández, Roghaiyeh Gachpaz Hamed, Elmar Kiesling, Mark Lizar, Eva Schlehahn, Simon Steyskal, and Rigo Wenning. 2019 · 2019
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Language models as knowledge bases?
Fabio Petroni, Tim Rocktäschel, Sebastian Riedel, Patrick Lewis, Anton Bakhtin, Yuxiang Wu, and Alexander Miller. 2019 · 2019
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Sentence-bert: Sentence embeddings using siamese bert-networks
Nils Reimers and Iryna Gurevych. 2019 · 2019
Cited alongside, same era.
Information leakage in embedding models
Congzheng Song and Ananth Raghunathan. 2020 · 2020
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Mpnet: Masked and permuted pre-training for language understanding
Kaitao Song, Xu Tan, Tao Qin, Jianfeng Lu, and Tie-Yan Liu. 2020 · 2020
Cited alongside, same era.
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, Alina Oprea, and Colin Raffel. 2021 · 2021
Cited alongside, same era.
You don’t know my favorite color: Preventing dialogue representations from revealing speakers’ private personas
Haoran Li, Yangqiu Song, and Lixin Fan. 2022 · 2022
Cited alongside, same era.
Albert Q Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Florian Bressand, Gianna Lengyel, Guillaume Lample, Lucile Saulnier, et al. 2023 · 2023
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Sentence embedding leaks more information than you expect: Generative embedding inversion attack to recover the whole sentence
Haoran Li, Mingshi Xu, and Yangqiu Song. 2023b · 2023
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Prompt injection attack against llm-integrated applications
Yi Liu, Gelei Deng, Yuekang Li, Kailong Wang, Tianwei Zhang, Yepang Liu, Haoyu Wang, Yanhong Zheng, and Yang Liu. 2023 · 2023
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On the exploitability of instruction tuning
Manli Shu, Jiongxiao Wang, Chen Zhu, Jonas Geiping, Chaowei Xiao, and Tom Goldstein. 2023 · 2023
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Ignore previous prompt: Attack techniques for language models
Fábio Perez and Ian Ribeiro. 2022 · 2022
Cited alongside, same era.
Chain of thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, brian ichter, Fei Xia, Ed H. Chi, Quoc V Le, and Denny Zhou. 2022 · 2022
Cited alongside, same era.
Chatlaw: Open-source legal large language model with integrated external knowledge bases
Jiaxi Cui, Zongjian Li, Yang Yan, Bohua Chen, and Li Yuan. 2023 · 2023
Cited alongside, same era.
Privacy side channels in machine learning systems
Edoardo Debenedetti, Giorgio Severi, Nicholas Carlini, Christopher A Choquette-Choo, Matthew Jagielski, Milad Nasr, Eric Wallace, and Florian Tramèr. 2023 · 2023
Cited alongside, same era.
Jailbreaker: Automated jailbreak across multiple large language model chatbots
Gelei Deng, Yi Liu, Yuekang Li, Kailong Wang, Ying Zhang, Zefeng Li, Haoyu Wang, Tianwei Zhang, and Yang Liu. 2023 · 2023
Cited alongside, same era.
Towards sentence level inference attack against pre-trained language models
Kang Gu, Ehsanul Kabir, Neha Ramsurrun, Soroush Vosoughi, and Shagufta Mehnaz. 2023 · 2023
Cited alongside, same era.
Legalbench: A collaboratively built benchmark for measuring legal reasoning in large language models
Neel Guha, Julian Nyarko, Daniel E. Ho, Christopher Re, Adam Chilton, Aditya Narayana, Alex Chohlas-Wood, Austin Peters, Brandon Waldon, Daniel Rockmore, Diego Zambrano, Dmitry Talisman, Enam Hoque, Faiz Surani, Frank Fagan, Galit Sarfaty, Gregory M. Dickinson, Haggai Porat, Jason Hegland, Jessica Wu, Joe Nudell, Joel Niklaus, John J Nay, Jonathan H. Choi, Kevin Tobia, Margaret Hagan, Megan Ma, Michael Livermore, Nikon Rasumov-Rahe, Nils Holzenberger, Noam Kolt, Peter Henderson, Sean Rehaag, Sharad Goel, Shang Gao, Spencer Williams, Sunny Gandhi, Tom Zur, Varun Iyer, and Zehua Li. 2023 · 2023
Cited alongside, same era.
Alexander Wan, Eric Wallace, Sheng Shen, and Dan Klein. 2023 · 2023
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Self-consistency improves chain of thought reasoning in language models
Xuezhi Wang, Jason Wei, Dale Schuurmans, Quoc V Le, Ed H. Chi, Sharan Narang, Aakanksha Chowdhery, and Denny Zhou. 2023 · 2023
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Llama 3 model card
AI@Meta. 2024 · 2024
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Goldcoin: Grounding large language models in privacy laws via contextual integrity theory
Wei Fan, Haoran Li, Zheye Deng, Weiqi Wang, and Yangqiu Song. 2024 · 2024
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Chatglm: A family of large language models from glm-130b to glm-4 all tools
Team GLM, Aohan Zeng, Bin Xu, Bowen Wang, Chenhui Zhang, Da Yin, Diego Rojas, Guanyu Feng, Hanlin Zhao, Hanyu Lai, et al. 2024 · 2024
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Legalbench-rag: A benchmark for retrieval-augmented generation in the legal domain
Nicholas Pipitone and Ghita Houir Alami. 2024 · 2024
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Dart-math: Difficulty-aware rejection tuning for mathematical problem-solving
Yuxuan Tong, Xiwen Zhang, Rui Wang, Ruidong Wu, and Junxian He. 2024 · 2024
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Qwen2 technical report
An Yang, Baosong Yang, Binyuan Hui, Bo Zheng, Bowen Yu, Chang Zhou, Chengpeng Li, Chengyuan Li, Dayiheng Liu, Fei Huang, Guanting Dong, Haoran Wei, Huan Lin, Jialong Tang, Jialin Wang, Jian Yang, Jianhong Tu, Jianwei Zhang, Jianxin Ma, Jin Xu, Jingren Zhou, Jinze Bai, Jinzheng He, Junyang Lin, Kai Dang, Keming Lu, Ke-Yang Chen, Kexin Yang, Mei Li, Min Xue, Na Ni, Pei Zhang, Peng Wang, Ru Peng, Rui Men, Ruize Gao, Runji Lin, Shijie Wang, Shuai Bai, Sinan Tan, Tianhang Zhu, Tianhao Li, Tianyu Liu, Wenbin Ge, Xiaodong Deng, Xiaohuan Zhou, Xingzhang Ren, Xinyu Zhang, Xipin Wei, Xuancheng Ren, Yang Fan, Yang Yao, Yichang Zhang, Yunyang Wan, Yunfei Chu, Zeyu Cui, Zhenru Zhang, and Zhi-Wei Fan. 2024 · 2024
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Lawgpt: A chinese legal knowledge-enhanced large language model
Zhi Zhou, Jiang-Xin Shi, Peng-Xiao Song, Xiao-Wen Yang, Yi-Xuan Jin, Lan-Zhe Guo, and Yu-Feng Li. 2024 · 2024
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