SIRNN: A Math Library for Secure RNN Inference

10 May 2021

Papers citing "SIRNN: A Math Library for Secure RNN Inference"

32 / 32 papers shown

Title
CipherPrune: Efficient and Scalable Private Transformer Inference Yancheng Zhang Jinbao Xue Mengxin Zheng Mimi Xie Mingzhe Zhang Lei Jiang Qian Lou 68 2 0 24 Feb 2025
HawkEye: Statically and Accurately Profiling the Communication Cost of Models in Multi-party Learning Wenqiang Ruan Xin Lin Ruisheng Zhou Guopeng Lin Shui Yu Weili Han 52 0 0 16 Feb 2025
Nimbus: Secure and Efficient Two-Party Inference for Transformers Zhengyi Li Kang Yang Jin Tan Wen-jie Lu Haoqi Wu ... Yu Yu Derun Zhao Yancheng Zheng Minyi Guo Jingwen Leng 76 3 0 24 Nov 2024
PrivQuant: Communication-Efficient Private Inference with Quantized Network/Protocol Co-Optimization Tianshi Xu Shuzhang Zhong Wenxuan Zeng Runsheng Wang Meng Li MQ 31 0 0 12 Oct 2024
CryptoTrain: Fast Secure Training on Encrypted Dataset Jiaqi Xue Yancheng Zhang YanShan Wang Xueqiang Wang Hao Zheng Qian Lou 32 3 0 25 Sep 2024
Ents: An Efficient Three-party Training Framework for Decision Trees by Communication Optimization Guopeng Lin Weili Han Wenqiang Ruan Ruisheng Zhou Lushan Song Bingshuai Li Yunfeng Shao 46 1 0 12 Jun 2024
$$\textit{Comet:}$ A $\underline{Com}$munication-$\underline{e}$fficient and Performant Approxima$\underline{t}$ion for Private Transformer Inference$ $\textit{Comet:}$ A $\underline{Com}$ munication- $\underline{e}$ fficient and Performant Approxima $\underline{t}$ ion for Private Transformer Inference Xiangrui Xu Qiao Zhang R. Ning Chunsheng Xin Hongyi Wu 46 5 0 24 May 2024
EQO: Exploring Ultra-Efficient Private Inference with Winograd-Based Protocol and Quantization Co-Optimization Wenxuan Zeng Tianshi Xu Meng Li Runsheng Wang MQ 40 0 0 15 Apr 2024
Hawk: Accurate and Fast Privacy-Preserving Machine Learning Using Secure Lookup Table Computation Hamza Saleem Amir Ziashahabi Muhammad Naveed A. Avestimehr 19 3 0 26 Mar 2024
CipherFormer: Efficient Transformer Private Inference with Low Round Complexity Weize Wang Yi Kuang 35 0 0 25 Mar 2024
Pencil: Private and Extensible Collaborative Learning without the Non-Colluding Assumption Xuanqi Liu Zhuotao Liu Qi Li Ke Xu Mingwei Xu 35 7 0 17 Mar 2024
OPAF: Optimized Secure Two-Party Computation Protocols for Nonlinear Activation Functions in Recurrent Neural Network Qian Feng Zhihua Xia Zhifeng Xu Jiasi Weng Jian Weng 35 0 0 01 Mar 2024
Spin: An Efficient Secure Computation Framework with GPU Acceleration Wuxuan Jiang Xiangjun Song Shenbai Hong Haijun Zhang Wenxin Liu Bo Zhao Wei Xu Yi Li 23 1 0 04 Feb 2024
HEQuant: Marrying Homomorphic Encryption and Quantization for Communication-Efficient Private Inference Tianshi Xu Meng Li Runsheng Wang 47 1 0 29 Jan 2024
SecFormer: Towards Fast and Accurate Privacy-Preserving Inference for Large Language Models Jinglong Luo Yehong Zhang Zhuo Zhang Jiaqi Zhang Xin Mu Hui Wang Yue Yu Zenglin Xu 49 9 0 01 Jan 2024
CoPriv: Network/Protocol Co-Optimization for Communication-Efficient Private Inference Wenxuan Zeng Meng Li Haichuan Yang Wen-jie Lu Runsheng Wang Ru Huang 25 6 0 03 Nov 2023
Privacy in Large Language Models: Attacks, Defenses and Future Directions Haoran Li Yulin Chen Jinglong Luo Yan Kang Xiaojin Zhang Qi Hu Chunkit Chan Yangqiu Song PILM 50 42 0 16 Oct 2023
AutoFHE: Automated Adaption of CNNs for Efficient Evaluation over FHE Wei Ao Vishnu Boddeti AAML 33 18 0 12 Oct 2023
Compact: Approximating Complex Activation Functions for Secure Computation Mazharul Islam Sunpreet S. Arora Rahul Chatterjee Peter Rindal Maliheh Shirvanian 32 4 0 09 Sep 2023
Falcon: Accelerating Homomorphically Encrypted Convolutions for Efficient Private Mobile Network Inference Tianshi Xu Meng Li Runsheng Wang R. Huang FedML 35 6 0 25 Aug 2023
East: Efficient and Accurate Secure Transformer Framework for Inference Yuanchao Ding Hua Guo Yewei Guan Weixin Liu Jiarong Huo Zhenyu Guan Xiyong Zhang 34 17 0 19 Aug 2023
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 Wen-Chang Cheng 39 53 0 24 Jul 2023
SMPC Task Decomposition: A Theory for Accelerating Secure Multi-party Computation Task Yuanqing Feng Tao Bai Song Lu Xueming Tang Junjun Wu 8 1 0 01 Mar 2023
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy Yifei Zhang Dun Zeng Jinglong Luo Zenglin Xu Irwin King FedML 84 48 0 21 Feb 2023
MPCViT: Searching for Accurate and Efficient MPC-Friendly Vision Transformer with Heterogeneous Attention Wenyuan Zeng Meng Li Wenjie Xiong Tong Tong Wen-jie Lu Jin Tan Runsheng Wang Ru Huang 29 21 0 25 Nov 2022
NFGen: Automatic Non-linear Function Evaluation Code Generator for General-purpose MPC Platforms Xiaoyu Fan Kun Chen Guosai Wang Mingchun Zhuang Yi Li Wei Xu 25 11 0 18 Oct 2022
Privacy-Preserving Federated Recurrent Neural Networks Sinem Sav Abdulrahman Diaa Apostolos Pyrgelis Jean-Philippe Bossuat Jean-Pierre Hubaux FedML 20 7 0 28 Jul 2022
Fusion: Efficient and Secure Inference Resilient to Malicious Servers Caiqin Dong Jian Weng Jia-Nan Liu Yue Zhang Yao Tong Anjia Yang Yudan Cheng Shun Hu 28 16 0 06 May 2022
Tabula: Efficiently Computing Nonlinear Activation Functions for Secure Neural Network Inference Maximilian Lam Michael Mitzenmacher Vijay Janapa Reddi Gu-Yeon Wei David Brooks 47 3 0 05 Mar 2022
Privacy-Preserving Machine Learning: Methods, Challenges and Directions Runhua Xu Nathalie Baracaldo J. Joshi 32 100 0 10 Aug 2021
CrypTFlow2: Practical 2-Party Secure Inference Deevashwer Rathee Mayank Rathee Nishant Kumar Nishanth Chandran Divya Gupta Aseem Rastogi Rahul Sharma 87 301 0 13 Oct 2020
CrypTFlow: Secure TensorFlow Inference Nishant Kumar Mayank Rathee Nishanth Chandran Divya Gupta Aseem Rastogi Rahul Sharma 99 235 0 16 Sep 2019