Secure Evaluation of Quantized Neural Networks

28 October 2019

Papers citing "Secure Evaluation of Quantized Neural Networks"

39 / 39 papers shown

Title
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 45 0 0 16 Feb 2025
CBNN: 3-Party Secure Framework for Customized Binary Neural Networks Inference Benchang Dong Zhili Chen Xin Chen Shiwen Wei Jie Fu Huifa Li 73 0 0 21 Dec 2024
SLIP: Securing LLMs IP Using Weights Decomposition Yehonathan Refael Adam Hakim Lev Greenberg T. Aviv S. Lokam Ben Fishman Shachar Seidman 43 3 0 15 Jul 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 50 2 0 09 May 2024
FOBNN: Fast Oblivious Binarized Neural Network Inference Xin Chen Zhili Chen Benchang Dong Shiwen Wei Lin Chen Daojing He FedML 21 2 0 06 May 2024
Adaptive Hybrid Masking Strategy for Privacy-Preserving Face Recognition Against Model Inversion Attack Yinggui Wang Yuanqing Huang Jianshu Li Le Yang Kai Song Lei Wang AAML PICV 56 0 0 14 Mar 2024
Holding Secrets Accountable: Auditing Privacy-Preserving Machine Learning Hidde Lycklama Alexander Viand Nicolas Küchler Christian Knabenhans Anwar Hithnawi 59 6 0 24 Feb 2024
CaPS: Collaborative and Private Synthetic Data Generation from Distributed Sources Sikha Pentyala Mayana Pereira Martine De Cock 29 1 0 13 Feb 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
Compact: Approximating Complex Activation Functions for Secure Computation Mazharul Islam Sunpreet S. Arora Rahul Chatterjee Peter Rindal Maliheh Shirvanian 26 4 0 09 Sep 2023
Privacy-preserving Automatic Speaker Diarization Francisco Teixeira A. Abad Bhiksha Raj Isabel Trancoso 27 4 0 26 Oct 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-ping Xu 17 11 0 18 Oct 2022
Efficient ML Models for Practical Secure Inference Vinod Ganesan Anwesh Bhattacharya Pratyush Kumar Divya Gupta Rahul Sharma Nishanth Chandran MedIm 59 5 0 26 Aug 2022
Characterizing and Optimizing End-to-End Systems for Private Inference Karthik Garimella Zahra Ghodsi N. Jha S. Garg Brandon Reagen 41 25 0 14 Jul 2022
Towards End-to-End Private Automatic Speaker Recognition Francisco Teixeira A. Abad Bhiksha Raj Isabel Trancoso 37 10 0 23 Jun 2022
PrivFairFL: Privacy-Preserving Group Fairness in Federated Learning Sikha Pentyala Nicola Neophytou A. Nascimento Martine De Cock G. Farnadi 36 17 0 23 May 2022
SafeNet: The Unreasonable Effectiveness of Ensembles in Private Collaborative Learning Harsh Chaudhari Matthew Jagielski Alina Oprea 32 7 0 20 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 39 3 0 05 Mar 2022
PrivFair: a Library for Privacy-Preserving Fairness Auditing Sikha Pentyala David Melanson Martine De Cock G. Farnadi MLAU 11 6 0 08 Feb 2022
CryptoNite: Revealing the Pitfalls of End-to-End Private Inference at Scale Karthik Garimella N. Jha Zahra Ghodsi S. Garg Brandon Reagen 33 3 0 04 Nov 2021
Multi-institution encrypted medical imaging AI validation without data sharing Arjun Soin Pratik Bhatu R. Takhar Nishanth Chandran Divya Gupta Javier Alvarez-Valle Rahul Sharma V. Mahajan M. Lungren MedIm 17 4 0 21 Jul 2021
Secure Quantized Training for Deep Learning Marcel Keller Ke Sun MQ 18 65 0 01 Jul 2021
Adam in Private: Secure and Fast Training of Deep Neural Networks with Adaptive Moment Estimation Nuttapong Attrapadung Koki Hamada Dai Ikarashi Ryo Kikuchi Takahiro Matsuda Ibuki Mishina Hiraku Morita Jacob C. N. Schuldt 16 27 0 04 Jun 2021
SIRNN: A Math Library for Secure RNN Inference Deevashwer Rathee Mayank Rathee R. Goli Divya Gupta Rahul Sharma Nishanth Chandran Aseem Rastogi 16 102 0 10 May 2021
CryptGPU: Fast Privacy-Preserving Machine Learning on the GPU Sijun Tan Brian Knott Yuan Tian David J. Wu BDL FedML 57 183 0 22 Apr 2021
Round and Communication Balanced Protocols for Oblivious Evaluation of Finite State Machines Rafael Dowsley Caleb Horst Anderson C. A. Nascimento 13 0 0 20 Mar 2021
Privacy-Preserving Video Classification with Convolutional Neural Networks Sikha Pentyala Rafael Dowsley Martine De Cock PICV 21 21 0 06 Feb 2021
Fast Privacy-Preserving Text Classification based on Secure Multiparty Computation A. Resende Davis Railsback Rafael Dowsley Anderson C. A. Nascimento Diego F. Aranha 20 20 0 18 Jan 2021
Secure Medical Image Analysis with CrypTFlow Javier Alvarez-Valle Pratik Bhatu Nishanth Chandran Divya Gupta A. Nori Aseem Rastogi Mayank Rathee Rahul Sharma Shubham Ugare MedIm 18 13 0 09 Dec 2020
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
Fairness in the Eyes of the Data: Certifying Machine-Learning Models Shahar Segal Yossi Adi Benny Pinkas Carsten Baum C. Ganesh Joseph Keshet FedML 11 34 0 03 Sep 2020
POSEIDON: Privacy-Preserving Federated Neural Network Learning Sinem Sav Apostolos Pyrgelis J. Troncoso-Pastoriza D. Froelicher Jean-Philippe Bossuat João Sá Sousa Jean-Pierre Hubaux FedML 11 153 0 01 Sep 2020
Analog Lagrange Coded Computing M. Soleymani Hessam Mahdavifar A. Avestimehr 22 47 0 19 Aug 2020
Privacy-Preserving Distributed Learning in the Analog Domain M. Soleymani Hessam Mahdavifar A. Avestimehr 16 17 0 17 Jul 2020
Private Speech Classification with Secure Multiparty Computation Kyle Bittner Martine De Cock Rafael Dowsley 6 1 0 01 Jul 2020
FALCON: Honest-Majority Maliciously Secure Framework for Private Deep Learning Sameer Wagh Shruti Tople Fabrice Benhamouda E. Kushilevitz Prateek Mittal T. Rabin FedML 33 295 0 05 Apr 2020
Advances and Open Problems in Federated Learning Peter Kairouz H. B. McMahan Brendan Avent A. Bellet M. Bennis ... Zheng Xu Qiang Yang Felix X. Yu Han Yu Sen Zhao FedML AI4CE 74 6,079 0 10 Dec 2019
A Note on Our Submission to Track 4 of iDASH 2019 Marcel Keller Ke Sun 11 1 0 24 Oct 2019
CrypTFlow: Secure TensorFlow Inference Nishant Kumar Mayank Rathee Nishanth Chandran Divya Gupta Aseem Rastogi Rahul Sharma 99 235 0 16 Sep 2019