Fetching the paper…
Reading the bibliography…
With the growing use of Transformer models hosted on cloud platforms to offer inference services, privacy concerns are escalating, especially concerning sensitive data like investment plans and bank account details.
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.
RoBERTa: A robustly optimized bert pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 1907
Earlier work this paper cites.
Read, attend, and exclude: Multi-choice reading comprehension by mimicking human reasoning process
Chenbin Zhang, Congjian Luo, Junyu Lu, Ao Liu, Bing Bai, Kun Bai, and Zenglin Xu. 2020 · 1948
Earlier work this paper cites.
Applications of division by convergence
Robert E Goldschmidt. 1964 · 1964
Earlier work this paper cites.
How to share a secret
Adi Shamir. 1979 · 1979
Earlier work this paper cites.
How to generate and exchange secrets
Andrew Chi-Chih Yao. 1986 · 1986
Earlier work this paper cites.
How to play any mental game or A completeness theorem for protocols with honest majority
Oded Goldreich, Silvio Micali, and Avi Wigderson. 1987 · 1987
Earlier work this paper cites.
Universally composable security: A new paradigm for cryptographic protocols
Ran Canetti. 2001 · 2001
Earlier work this paper cites.
Software division and square root using Goldschmidt’s algorithms
Peter W. Markstein. 2004 · 2004
Earlier work this paper cites.
Yifei Zhang and Hao Zhu. 2020 · 2007
Earlier work this paper cites.
CryptoNets: Applying neural networks to encrypted data with high throughput and accuracy
Ran Gilad-Bachrach, Nathan Dowlin, Kim Laine, Kristin E. Lauter, Michael Naehrig, and John Wernsing. 2016 · 2016
Earlier work this paper cites.
Oblivious neural network predictions via minionn transformations
Jian Liu, Mika Juuti, Yao Lu, and Nadarajah Asokan. 2017 · 2017
Earlier work this paper cites.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Earlier work this paper cites.
BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Earlier work this paper cites.
Constructing interpretive spatio-temporal features for multi-turn responses selection
Junyu Lu, Chenbin Zhang, Zeying Xie, Guang Ling, Tom Chao Zhou, and Zenglin Xu. 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.
BART: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension
Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov, and Luke Zettlemoyer. 2020 · 2020
Cited alongside, same era.
Multi-level multimodal transformer network for multimodal recipe comprehension
Ao Liu, Shuai Yuan, Chenbin Zhang, Congjian Luo, Yaqing Liao, Kun Bai, and Zenglin Xu. 2020 · 2020
Cited alongside, same era.
Improving contextual language models for response retrieval in multi-turn conversation
Junyu Lu, Xiancong Ren, Yazhou Ren, Ao Liu, and Zenglin Xu. 2020 · 2020
Cited alongside, same era.
Delphi: A cryptographic inference service for neural networks
Pratyush Mishra, Ryan Lehmkuhl, Akshayaram Srinivasan, Wenting Zheng, and Raluca Ada Popa. 2020 · 2020
Cited alongside, same era.
Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J. Liu. 2020 · 2020
Cited alongside, same era.
PUMA: Secure inference of LLaMA-7B in five minutes
Ye Dong, Wen-jie Lu, Yancheng Zheng, Haoqi Wu, Derun Zhao, Jin Tan, Zhicong Huang, Cheng Hong, Tao Wei, and Wenguang Cheng. 2023 · 2023
Later among the works it cites.
SIGMA: Secure GPT inference with function secret sharing
Kanav Gupta, Neha Jawalkar, Ananta Mukherjee, Nishanth Chandran, Divya Gupta, Ashish Panwar, and Rahul Sharma. 2023 · 2023
Later among the works it cites.
CipherGPT: Secure two-party GPT inference
Xiaoyang Hou, Jian Liu, Jingyu Li, Yuhan Li, Wen jie Lu, Cheng Hong, and Kui Ren. 2023 · 2023
Later among the works it cites.
StoryAnalogy: Deriving story-level analogies from large language models to unlock analogical understanding
Cheng Jiayang, Lin Qiu, Tsz Chan, Tianqing Fang, Weiqi Wang, Chunkit Chan, Dongyu Ru, Qipeng Guo, Hongming Zhang, Yangqiu Song, Yue Zhang, and Zheng Zhang. 2023 · 2023
Later among the works it cites.
Multi-step jailbreaking privacy attacks on ChatGPT
Haoran Li, Dadi Guo, Wei Fan, Mingshi Xu, Jie Huang, Fanpu Meng, and Yangqiu Song. 2023c · 2023
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
CrypTen: Secure multi-party computation meets machine learning
Brian Knott, Shobha Venkataraman, Awni Hannun, Shubho Sengupta, Mark Ibrahim, and Laurens van der Maaten. 2021 · 2021
Cited alongside, same era.
SIRNN: A math library for secure RNN inference
Deevashwer Rathee, Mayank Rathee, Rahul Kranti Kiran Goli, Divya Gupta, Rahul Sharma, Nishanth Chandran, and Aseem Rastogi. 2021 · 2021
Cited alongside, same era.
Wei Zeng, Xiaozhe Ren, Teng Su, Hui Wang, Yi Liao, Zhiwei Wang, Xin Jiang, ZhenZhang Yang, Kaisheng Wang, Xiaoda Zhang, et al. 2021 · 2021
Cited alongside, same era.
THE-X: Privacy-preserving transformer inference with homomorphic encryption
Tianyu Chen, Hangbo Bao, Shaohan Huang, Li Dong, Binxing Jiao, Daxin Jiang, Haoyi Zhou, Jianxin Li, and Furu Wei. 2022 · 2022
Cited alongside, same era.
Iron: Private inference on transformers
Meng Hao, Hongwei Li, Hanxiao Chen, Pengzhi Xing, Guowen Xu, and Tianwei Zhang. 2022 · 2022
Cited alongside, same era.
Cheetah: Lean and fast secure two-party deep neural network inference
Zhicong Huang, Wenjie Lu, Cheng Hong, and Jiansheng Ding. 2022 · 2022
Cited alongside, same era.
Training language models to follow instructions with human feedback
Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al. 2022 · 2022
Cited alongside, same era.
Sentence embedding leaks more information than you expect: Generative embedding inversion attack to recover the whole sentence
Haoran Li, Mingshi Xu, and Yangqiu Song. 2023d · 2023
Later among the works it cites.
MERGE: Fast private text generation
Zi Liang, Pinghui Wang, Ruofei Zhang, Nuo Xu, and Shuo Zhang. 2023 · 2023
Later among the works it cites.
Practical privacy-preserving Gaussian process regression via secret sharing
Jinglong Luo, Yehong Zhang, Jiaqi Zhang, Shuang Qin, Hui Wang, Yue Yu, and Zenglin Xu. 2023 · 2023
Later among the works it cites.
OpenAI. 2023 · 2023
Later among the works it cites.
BOLT: Privacy-preserving, accurate and efficient inference for transformers
Qi Pang, Jinhao Zhu, Helen Möllering, Wenting Zheng, and Thomas Schneider. 2023 · 2023
Later among the works it cites.
MUSTIE: Multimodal structural transformer for web information extraction
Qifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Zenglin Xu, Shaoliang Nie, Sinong Wang, Madian Khabsa, Hamed Firooz, and Dongfang Liu. 2023 · 2023
Later among the works it cites.
A survey of trustworthy federated learning with perspectives on security, robustness and privacy
Yifei Zhang, Dun Zeng, Jinglong Luo, Zenglin Xu, and Irwin King. 2023a · 2023
Later among the works it cites.
Exploring the potential of ChatGPT on sentence level relations: A focus on temporal, causal, and discourse relations
Chunkit Chan, Cheng Jiayang, Weiqi Wang, Yuxin Jiang, Tianqing Fang, Xin Liu, and Yangqiu Song. 2024 · 2024
Closest in time.
PrivLM-Bench: A multi-level privacy evaluation benchmark for language models
Haoran Li, Dadi Guo, Donghao Li, Wei Fan, Qi Hu, Xin Liu, Chunkit Chan, Duanyi Yao, Yuan Yao, and Yangqiu Song. 2024 · 2024
Closest in time.
Revisiting data reconstruction attacks on real-world dataset for federated natural language understanding
Zhuo Zhang, Jintao Huang, Xiangjing Hu, Jingyuan Zhang, Yating Zhang, Hui Wang, Yue Yu, Qifan Wang, Lizhen Qu, and Zenglin Xu. 2024b · 2024
Closest in time.