Faster CryptoNets: Leveraging Sparsity for Real-World Encrypted Inference

25 November 2018

Li Fei-Fei

Papers citing "Faster CryptoNets: Leveraging Sparsity for Real-World Encrypted Inference"

50 / 76 papers shown

Title
Silenzio: Secure Non-Interactive Outsourced MLP Training Jonas Sander T. Eisenbarth 28 0 0 24 Apr 2025
SecPE: Secure Prompt Ensembling for Private and Robust Large Language Models Jiawen Zhang Kejia Chen Zunlei Feng Jian Lou Mingli Song J. Liu X. J. Yang AAML SILM FedML 43 1 0 02 Feb 2025
MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference Parsa Ghazvinian Robert Podschwadt Prajwal Panzade Mohammad H. Rafiei Daniel Takabi 72 0 0 10 Dec 2024
SoK: Towards Security and Safety of Edge AI Tatjana Wingarz Anne Lauscher Janick Edinger Dominik Kaaser Stefan Schulte Mathias Fischer 33 0 0 07 Oct 2024
Efficient Privacy-Preserving KAN Inference Using Homomorphic Encryption Zhizheng Lai Yufei Zhou Peijia Zheng Lin Chen 27 0 0 12 Sep 2024
DCT-CryptoNets: Scaling Private Inference in the Frequency Domain Arjun Roy Kaushik Roy 110 1 0 27 Aug 2024
MPC-Minimized Secure LLM Inference Deevashwer Rathee Dacheng Li Ion Stoica Hao Zhang Raluca A. Popa 31 1 0 07 Aug 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 30 5 0 24 May 2024
From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks Xue Geng Zhe Wang Chunyun Chen Qing Xu Kaixin Xu ... Zhenghua Chen M. Aly Jie Lin Min-man Wu Xiaoli Li 33 1 0 09 May 2024
Ditto: Quantization-aware Secure Inference of Transformers upon MPC Haoqi Wu Wenjing Fang Yancheng Zheng Junming Ma Jin Tan Yinggui Wang Lei Wang MQ 37 2 0 09 May 2024
Batch-oriented Element-wise Approximate Activation for Privacy-Preserving Neural Networks Peng Zhang Ao Duan Xianglu Zou Yuhong Liu 14 0 0 16 Mar 2024
Neural Networks with (Low-Precision) Polynomial Approximations: New Insights and Techniques for Accuracy Improvement Chi Zhang Jingjing Fan Man Ho Au S. Yiu 20 1 0 17 Feb 2024
I can't see it but I can Fine-tune it: On Encrypted Fine-tuning of Transformers using Fully Homomorphic Encryption Prajwal Panzade Daniel Takabi Zhipeng Cai 12 2 0 14 Feb 2024
Bi-CryptoNets: Leveraging Different-Level Privacy for Encrypted Inference Man-Jie Yuan Zheng Zou Wei Gao 14 0 0 02 Feb 2024
Optimized Layerwise Approximation for Efficient Private Inference on Fully Homomorphic Encryption Junghyun Lee Eunsang Lee Young-Sik Kim Yongwoo Lee Joon-Woo Lee Yongjune Kim Jong-Seon No 21 1 0 16 Oct 2023
AutoFHE: Automated Adaption of CNNs for Efficient Evaluation over FHE Wei Ao Vishnu Naresh Boddeti AAML 19 18 0 12 Oct 2023
Learning in the Dark: Privacy-Preserving Machine Learning using Function Approximation Tanveer Khan A. Michalas FedML 11 6 0 15 Sep 2023
Privacy-Preserving 3-Layer Neural Network Training Jonathan Z. Chiang 14 5 0 18 Aug 2023
Hyperdimensional Computing as a Rescue for Efficient Privacy-Preserving Machine Learning-as-a-Service Jaewoo Park Cheng-Guang Quan H.-J. Moon Jongeun Lee 14 1 0 17 Aug 2023
Integrating Homomorphic Encryption and Trusted Execution Technology for Autonomous and Confidential Model Refining in Cloud Pinglan Liu Wensheng Zhang 19 0 0 02 Aug 2023
ArctyrEX : Accelerated Encrypted Execution of General-Purpose Applications Charles Gouert Vinu Joseph Steven Dalton C. Augonnet M. Garland N. G. Tsoutsos 30 11 0 19 Jun 2023
slytHErin: An Agile Framework for Encrypted Deep Neural Network Inference Francesco Intoci Sinem Sav Apostolos Pyrgelis Jean-Philippe Bossuat J. Troncoso-Pastoriza Jean-Pierre Hubaux FedML 11 1 0 01 May 2023
Offsite-Tuning: Transfer Learning without Full Model Guangxuan Xiao Ji Lin Song Han 35 67 0 09 Feb 2023
TT-TFHE: a Torus Fully Homomorphic Encryption-Friendly Neural Network Architecture Adrien Benamira Tristan Guérand Thomas Peyrin Sayandeep Saha 27 6 0 03 Feb 2023
MPCFormer: fast, performant and private Transformer inference with MPC Dacheng Li Rulin Shao Hongyi Wang Han Guo Eric P. Xing Haotong Zhang 13 79 0 02 Nov 2022
Private and Reliable Neural Network Inference Nikola Jovanović Marc Fischer Samuel Steffen Martin Vechev 14 14 0 27 Oct 2022
Partially Oblivious Neural Network Inference P. Rizomiliotis Christos Diou Aikaterini Triakosia Ilias Kyrannas Konstantinos Tserpes FedML 13 3 0 27 Oct 2022
Audit and Improve Robustness of Private Neural Networks on Encrypted Data Jiaqi Xue Lei Xu Lin Chen W. Shi Kaidi Xu Qian Lou AAML 20 5 0 20 Sep 2022
Deploying Convolutional Networks on Untrusted Platforms Using 2D Holographic Reduced Representations Mohammad Mahmudul Alam Edward Raff Tim Oates James Holt 11 5 0 13 Jun 2022
Towards Practical Privacy-Preserving Solution for Outsourced Neural Network Inference Pinglan Liu Wensheng Zhang FedML 8 3 0 06 Jun 2022
CryptoTL: Private, Efficient and Secure Transfer Learning Roman Walch Samuel Sousa Lukas Helminger Stefanie N. Lindstaedt Christian Rechberger A. Trugler 30 8 0 24 May 2022
Impala: Low-Latency, Communication-Efficient Private Deep Learning Inference Woojin Choi Brandon Reagen Gu-Yeon Wei David Brooks FedML 45 7 0 13 May 2022
QuadraLib: A Performant Quadratic Neural Network Library for Architecture Optimization and Design Exploration Zirui Xu Fuxun Yu Jinjun Xiong Xiang Chen 27 23 0 01 Apr 2022
FedVLN: Privacy-preserving Federated Vision-and-Language Navigation Kaiwen Zhou X. Wang FedML 18 8 0 28 Mar 2022
MixNN: A design for protecting deep learning models Chao Liu Hao Chen Yusen Wu Rui Jin 10 0 0 28 Mar 2022
The Data Airlock: infrastructure for restricted data informatics Gregory Rolan Janis Dalins Campbell Wilson AI4CE 17 0 0 17 Mar 2022
Characterizing Differentially-Private Techniques in the Era of Internet-of-Vehicles Yicun Duan Junyu Liu Wangkai Jin Xiangjun Peng 8 6 0 14 Feb 2022
Volley Revolver: A Novel Matrix-Encoding Method for Privacy-Preserving Neural Networks (Inference) Jonathan Z. Chiang 17 12 0 29 Jan 2022
SoK: Privacy-preserving Deep Learning with Homomorphic Encryption Robert Podschwadt Daniel Takabi Peizhao Hu FedML 14 6 0 23 Dec 2021
CryptoNite: Revealing the Pitfalls of End-to-End Private Inference at Scale Karthik Garimella N. Jha Zahra Ghodsi S. Garg Brandon Reagen 21 3 0 04 Nov 2021
Blind Faith: Privacy-Preserving Machine Learning using Function Approximation Tanveer Khan Alexandros Bakas A. Michalas 11 17 0 29 Jul 2021
Sisyphus: A Cautionary Tale of Using Low-Degree Polynomial Activations in Privacy-Preserving Deep Learning Karthik Garimella N. Jha Brandon Reagen 19 19 0 26 Jul 2021
Popcorn: Paillier Meets Compression For Efficient Oblivious Neural Network Inference Jun Wang Chao Jin S. Meftah Khin Mi Mi Aung UQCV 8 3 0 05 Jul 2021
Circa: Stochastic ReLUs for Private Deep Learning Zahra Ghodsi N. Jha Brandon Reagen S. Garg 16 34 0 15 Jun 2021
Privacy-Preserving Machine Learning with Fully Homomorphic Encryption for Deep Neural Network Joon-Woo Lee Hyungchul Kang Yongwoo Lee W. Choi Jieun Eom ... Eunsang Lee Junghyun Lee Donghoon Yoo Young-Sik Kim Jong-Seon No 9 245 0 14 Jun 2021
Precise Approximation of Convolutional Neural Networks for Homomorphically Encrypted Data Junghyun Lee Eunsang Lee Joon-Woo Lee Yongjune Kim Young-Sik Kim Jong-Seon No 11 55 0 23 May 2021
GALA: Greedy ComputAtion for Linear Algebra in Privacy-Preserved Neural Networks Qiao Zhang Chunsheng Xin Hongyi Wu 19 49 0 05 May 2021
Enabling Homomorphically Encrypted Inference for Large DNN Models Guillermo Lloret-Talavera Marc Jordà Harald Servat Fabian Boemer C. Chauhan S. Tomishima Nilesh N. Shah Antonio J. Peña AI4CE FedML 14 27 0 30 Mar 2021
FFConv: Fast Factorized Convolutional Neural Network Inference on Encrypted Data Yu-Ching Lu Jie Lin Chao Jin Zhe Wang Min-man Wu Khin Mi Mi Aung Xiaoli Li 11 1 0 06 Feb 2021
Efficient CNN Building Blocks for Encrypted Data Nayna Jain Karthik Nandakumar N. Ratha Sharath Pankanti U. Kumar FedML 18 13 0 30 Jan 2021