Gazelle: A Low Latency Framework for Secure Neural Network Inference

16 January 2018

Papers citing "Gazelle: A Low Latency Framework for Secure Neural Network Inference"

50 / 311 papers shown

Title
SecONNds: Secure Outsourced Neural Network Inference on ImageNet Shashank Balla 15 0 0 13 Jun 2025
FicGCN: Unveiling the Homomorphic Encryption Efficiency from Irregular Graph Convolutional Networks Zhaoxuan Kan Husheng Han Shangyi Shi Tenghui Hua Hang Lu Xiaowei Li Jianan Mu Xing Hu GNN 121 0 0 12 Jun 2025
A Training Framework for Optimal and Stable Training of Polynomial Neural Networks Forsad Al Hossain Tauhidur Rahman 14 0 0 16 May 2025
Private LoRA Fine-tuning of Open-Source LLMs with Homomorphic Encryption Jordan Fréry Roman Bredehoft Jakub Klemsa Arthur Meyre Andrei Stoian 47 0 0 12 May 2025
Fast Plaintext-Ciphertext Matrix Multiplication from Additively Homomorphic Encryption Krishna Sai Tarun Ramapragada Utsav Banerjee 57 0 0 20 Apr 2025
Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems Song Xia Yi Yu Wenhan Yang Meiwen Ding Zhuo Chen Lingyu Duan Alex C. Kot Xudong Jiang 116 4 0 01 Mar 2025
APINT: A Full-Stack Framework for Acceleration of Privacy-Preserving Inference of Transformers based on Garbled Circuits Hyunjun Cho Jaeho Jeon Jaehoon Heo Joo-Young Kim 92 0 0 24 Feb 2025
SecPE: Secure Prompt Ensembling for Private and Robust Large Language Models Jiawen Zhang Kejia Chen Zunlei Feng Jian Lou Mingli Song Qingbin Liu Xiaoyu Yang AAML SILM FedML 163 1 0 02 Feb 2025
Flash: A Hybrid Private Inference Protocol for Deep CNNs with High Accuracy and Low Latency on CPU H. Roh Jinsu Yeo Yeongil Ko Gu-Yeon Wei David Brooks Woo-Seok Choi 171 2 0 20 Jan 2025
CBNN: 3-Party Secure Framework for Customized Binary Neural Networks Inference Benchang Dong Zhili Chen Xin Chen Shiwen Wei Jie Fu Huifa Li 105 1 0 21 Dec 2024
Evaluating the Potential of In-Memory Processing to Accelerate Homomorphic Encryption Mpoki Mwaisela Joel Hari Peterson Yuhala James Ménétrey Pascal Felber V. Schiavoni 105 1 0 12 Dec 2024
MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference Parsa Ghazvinian Robert Podschwadt Prajwal Panzade Mohammad H. Rafiei Daniel Takabi 102 0 0 10 Dec 2024
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 116 5 0 24 Nov 2024
TEESlice: Protecting Sensitive Neural Network Models in Trusted Execution Environments When Attackers have Pre-Trained Models Ding Li Ziqi Zhang Mengyu Yao Y. Cai Yao Guo Xiangqun Chen FedML 58 2 0 15 Nov 2024
DataSeal: Ensuring the Verifiability of Private Computation on Encrypted Data M. Santriaji Jiaqi Xue Qian Lou Yan Solihin FedML 77 5 0 19 Oct 2024
Fast and Accurate Homomorphic Softmax Evaluation Wonhee Cho G. Hanrot Taeseong Kim Minje Park D. Stehlé 56 3 0 15 Oct 2024
PrivQuant: Communication-Efficient Private Inference with Quantized Network/Protocol Co-Optimization Tianshi Xu Shuzhang Zhong Wenxuan Zeng Runsheng Wang Meng Li MQ 46 0 0 12 Oct 2024
Investigating Privacy Attacks in the Gray-Box Setting to Enhance Collaborative Learning Schemes Federico Mazzone Ahmad Al Badawi Y. Polyakov Maarten Everts Florian Hahn Andreas Peter MIACV AAML 66 0 0 25 Sep 2024
Efficient Privacy-Preserving KAN Inference Using Homomorphic Encryption Zhizheng Lai Yufei Zhou Peijia Zheng Lin Chen 55 0 0 12 Sep 2024
An Array Intermediate Language for Mixed Cryptography Vivian Ding Coşku Acay Andrew C. Myers 118 0 0 03 Sep 2024
DCT-CryptoNets: Scaling Private Inference in the Frequency Domain Arjun Roy Kaushik Roy 426 1 0 27 Aug 2024
Osiris: A Systolic Approach to Accelerating Fully Homomorphic Encryption Austin Ebel Brandon Reagen 57 0 0 18 Aug 2024
MPC-Minimized Secure LLM Inference Deevashwer Rathee Dacheng Li Ion Stoica Hao Zhang Raluca A. Popa 67 1 0 07 Aug 2024
Ascend-CC: Confidential Computing on Heterogeneous NPU for Emerging Generative AI Workloads Aritra Dhar Clément Thorens Lara Magdalena Lazier Lukas Cavigelli 69 1 0 16 Jul 2024
SLIP: Securing LLMs IP Using Weights Decomposition Yehonathan Refael Adam Hakim Lev Greenberg T. Aviv S. Lokam Ben Fishman Shachar Seidman 115 5 0 15 Jul 2024
LFFR: Logistic Function For (single-output) Regression John Chiang 114 0 0 13 Jul 2024
Privacy-Preserving and Trustworthy Deep Learning for Medical Imaging Kiarash Sedghighadikolaei Attila A Yavuz 56 2 0 29 Jun 2024
Privacy-Preserving Logistic Regression Training on Large Datasets John Chiang 122 2 0 19 Jun 2024
VeriSplit: Secure and Practical Offloading of Machine Learning Inferences across IoT Devices Han Zhang Zifan Wang Mihir Dhamankar Matt Fredrikson Yuvraj Agarwal 106 2 0 02 Jun 2024
PermLLM: Private Inference of Large Language Models within 3 Seconds under WAN Fei Zheng Chaochao Chen Zhongxuan Han Xiaolin Zheng LRM 43 5 0 29 May 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 73 6 0 24 May 2024
FOBNN: Fast Oblivious Binarized Neural Network Inference Xin Chen Zhili Chen Benchang Dong Shiwen Wei Lin Chen Daojing He FedML 46 2 0 06 May 2024
PackVFL: Efficient HE Packing for Vertical Federated Learning Liu Yang Shuowei Cai Di Chai Junxue Zhang Han Tian Yilun Jin Kun Guo Kai Chen Qiang Yang FedML 58 1 0 01 May 2024
SECO: Secure Inference With Model Splitting Across Multi-Server Hierarchy Shuangyi Chen Ashish Khisti 88 2 0 24 Apr 2024
PristiQ: A Co-Design Framework for Preserving Data Security of Quantum Learning in the Cloud Zhepeng Wang Yi Sheng Nirajan Koirala Kanad Basu Taeho Jung Cheng-Chang Lu Weiwen Jiang 68 5 0 20 Apr 2024
TransLinkGuard: Safeguarding Transformer Models Against Model Stealing in Edge Deployment Qinfeng Li Zhiqiang Shen Zhenghan Qin Yangfan Xie Xuhong Zhang Tianyu Du Jianwei Yin 67 8 0 17 Apr 2024
Hawk: Accurate and Fast Privacy-Preserving Machine Learning Using Secure Lookup Table Computation Hamza Saleem Amir Ziashahabi Muhammad Naveed A. Avestimehr 43 4 0 26 Mar 2024
CipherFormer: Efficient Transformer Private Inference with Low Round Complexity Weize Wang Yi Kuang 55 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 63 8 0 17 Mar 2024
xMLP: Revolutionizing Private Inference with Exclusive Square Activation Jiajie Li Jinjun Xiong 54 0 0 12 Mar 2024
Holding Secrets Accountable: Auditing Privacy-Preserving Machine Learning Hidde Lycklama Alexander Viand Nicolas Küchler Christian Knabenhans Anwar Hithnawi 118 7 0 24 Feb 2024
FairProof : Confidential and Certifiable Fairness for Neural Networks Chhavi Yadav A. Chowdhury Dan Boneh Kamalika Chaudhuri MLAU 98 9 0 19 Feb 2024
Linearizing Models for Efficient yet Robust Private Inference Sreetama Sarkar Souvik Kundu Peter A. Beerel AAML 53 0 0 08 Feb 2024
Verifiable evaluations of machine learning models using zkSNARKs Tobin South Alexander Camuto Shrey Jain Shayla Nguyen Robert Mahari Christian Paquin Jason Morton Alex Pentland MLAU ALM 75 13 0 05 Feb 2024
Regularized PolyKervNets: Optimizing Expressiveness and Efficiency for Private Inference in Deep Neural Networks Toluwani Aremu 57 0 0 23 Dec 2023
Privacy Preserving Multi-Agent Reinforcement Learning in Supply Chains Ananta Mukherjee Peeyush Kumar Boling Yang Nishanth Chandran Divya Gupta 15 0 0 09 Dec 2023
NeuJeans: Private Neural Network Inference with Joint Optimization of Convolution and FHE Bootstrapping Jae Hyung Ju Jaiyoung Park Jongmin Kim Minsik Kang Donghwan Kim Jung Hee Cheon Jung Ho Ahn FedML 59 12 0 07 Dec 2023
Hyena: Optimizing Homomorphically Encrypted Convolution for Private CNN Inference H. Roh Woo-Seok Choi 111 1 0 21 Nov 2023
From Principle to Practice: Vertical Data Minimization for Machine Learning Robin Staab Nikola Jovanović Mislav Balunović Martin Vechev 76 7 0 17 Nov 2023
A Compiler from Array Programs to Vectorized Homomorphic Encryption Rolph Recto Andrew C. Myers 96 2 0 10 Nov 2023