FALCON: Honest-Majority Maliciously Secure Framework for Private Deep Learning

5 April 2020

Papers citing "FALCON: Honest-Majority Maliciously Secure Framework for Private Deep Learning"

50 / 95 papers shown

Title
Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Guang Yan Yuhui Zhang Zimu Guo Lutan Zhao Xiaojun Chen Chen Wang Wenhao Wang Dan Meng Rui Hou 33 0 0 12 May 2025
Silenzio: Secure Non-Interactive Outsourced MLP Training Jonas Sander T. Eisenbarth 28 0 0 24 Apr 2025
PipeDec: Low-Latency Pipeline-based Inference with Dynamic Speculative Decoding towards Large-scale Models Haofei Yin Mengbai Xiao Rouzhou Lu Xiao Zhang Dongxiao Yu Guanghui Zhang AI4CE 24 0 0 05 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 56 2 0 01 Mar 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 37 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
Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Sai Qian Zhang Ziyun Li Chuan Guo Saeed Mahloujifar Deeksha Dangwal Edward Suh B. D. Salvo Chiao Liu DiffM 85 0 0 11 Dec 2024
The Communication-Friendly Privacy-Preserving Machine Learning against Malicious Adversaries Tianpei Lu Bingsheng Zhang Lichun Li Kui Ren 19 0 0 14 Nov 2024
Accelerating Privacy-Preserving Medical Record Linkage: A Three-Party MPC Approach Seyma Selcan Magara Noah Dietrich Ali Burak Ünal Mete Akgun 20 0 0 28 Oct 2024
Secure Multiparty Generative AI Manil Shrestha Yashodha Ravichandran Edward Kim 18 0 0 27 Sep 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 31 0 0 25 Sep 2024
CryptoTrain: Fast Secure Training on Encrypted Dataset Jiaqi Xue Yancheng Zhang YanShan Wang Xueqiang Wang Hao Zheng Qian Lou 24 3 0 25 Sep 2024
UTrace: Poisoning Forensics for Private Collaborative Learning Evan Rose Hidde Lycklama Harsh Chaudhari Anwar Hithnawi Alina Oprea 42 1 0 23 Sep 2024
$S^2$ NeRF: Privacy-preserving Training Framework for NeRF Bokang Zhang Yanglin Zhang Zhikun Zhang Jinglan Yang Lingying Huang Junfeng Wu 51 2 0 03 Sep 2024
MPC-Minimized Secure LLM Inference Deevashwer Rathee Dacheng Li Ion Stoica Hao Zhang Raluca A. Popa 39 1 0 07 Aug 2024
Low-Latency Privacy-Preserving Deep Learning Design via Secure MPC Ke Lin Yasir Glani Ping Luo 21 0 0 24 Jul 2024
CURE: Privacy-Preserving Split Learning Done Right Halil Ibrahim Kanpak Aqsa Shabbir Esra Genç Alptekin Küpçü Sinem Sav 24 0 0 12 Jul 2024
Privacy-Preserving and Trustworthy Deep Learning for Medical Imaging Kiarash Sedghighadikolaei Attila A Yavuz 39 1 0 29 Jun 2024
SSNet: A Lightweight Multi-Party Computation Scheme for Practical Privacy-Preserving Machine Learning Service in the Cloud Shijin Duan Chenghong Wang Hongwu Peng Yukui Luo Wujie Wen Caiwen Ding Xiaolin Xu 34 5 0 04 Jun 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 42 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 19 2 0 06 May 2024
SECO: Secure Inference With Model Splitting Across Multi-Server Hierarchy Shuangyi Chen Ashish Khisti 14 2 0 24 Apr 2024
Privacy-Preserving Intrusion Detection using Convolutional Neural Networks M. Kodys Zhongmin Dai V. Thing 29 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 17 3 0 26 Mar 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 48 0 0 14 Mar 2024
Wildest Dreams: Reproducible Research in Privacy-preserving Neural Network Training Tanveer Khan Mindaugas Budzys Khoa Nguyen A. Michalas 32 3 0 06 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 19 0 0 01 Mar 2024
How to Privately Tune Hyperparameters in Federated Learning? Insights from a Benchmark Study Natalija Mitic Apostolos Pyrgelis Sinem Sav FedML 58 1 0 25 Feb 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
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 18 1 0 04 Feb 2024
Online Efficient Secure Logistic Regression based on Function Secret Sharing Jing Liu Jamie Cui Cen Chen 19 5 0 18 Sep 2023
Bicoptor 2.0: Addressing Challenges in Probabilistic Truncation for Enhanced Privacy-Preserving Machine Learning Lijing Zhou Qingrui Song Su Zhang Ziyu Wang Xianggui Wang Yong-Lu Li 6 4 0 10 Sep 2023
Approximating ReLU on a Reduced Ring for Efficient MPC-based Private Inference Kiwan Maeng G. E. Suh 30 2 0 09 Sep 2023
Compact: Approximating Complex Activation Functions for Secure Computation Mazharul Islam Sunpreet S. Arora Rahul Chatterjee Peter Rindal Maliheh Shirvanian 19 4 0 09 Sep 2023
Analog Multi-Party Computing: Locally Differential Private Protocols for Collaborative Computations Hsuan-Po Liu M. Soleymani Hessam Mahdavifar 16 1 0 24 Aug 2023
Integrating Homomorphic Encryption and Trusted Execution Technology for Autonomous and Confidential Model Refining in Cloud Pinglan Liu Wensheng Zhang 24 0 0 02 Aug 2023
On the Trustworthiness Landscape of State-of-the-art Generative Models: A Survey and Outlook Mingyuan Fan Chengyu Wang Cen Chen Yang Liu Jun Huang HILM 31 3 0 31 Jul 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 26 52 0 24 Jul 2023
PATROL: Privacy-Oriented Pruning for Collaborative Inference Against Model Inversion Attacks Shiwei Ding Lan Zhang Miao Pan Xiaoyong Yuan AAML 25 5 0 20 Jul 2023
Towards Fast and Scalable Private Inference Jianqiao Mo Karthik Garimella Negar Neda Austin Ebel Brandon Reagen 27 3 0 09 Jul 2023
VERTICES: Efficient Two-Party Vertical Federated Linear Model with TTP-aided Secret Sharing Mingxuan Fan Yilun Jin Liu Yang Zhenghang Ren Kai Chen FedML 19 1 0 28 Jun 2023
FSSA: Efficient 3-Round Secure Aggregation for Privacy-Preserving Federated Learning Fucai Luo Saif M. Al-Kuwari Haiyan Wang Xingfu Yan 9 1 0 22 May 2023
GTree: GPU-Friendly Privacy-preserving Decision Tree Training and Inference Qifan Wang Shujie Cui Lei Zhou Ye Dong Jianli Bai Yun Sing Koh Giovanni Russello 25 0 0 01 May 2023
Training Large Scale Polynomial CNNs for E2E Inference over Homomorphic Encryption Moran Baruch Nir Drucker Gilad Ezov Yoav Goldberg Eyal Kushnir Jenny Lerner Omri Soceanu Itamar Zimerman 49 6 0 26 Apr 2023
Securing Neural Networks with Knapsack Optimization Yakir Gorski Amir Jevnisek S. Avidan AAML 22 0 0 20 Apr 2023
A Survey of Secure Computation Using Trusted Execution Environments Xiaoguo Li Bowen Zhao Guomin Yang Tao Xiang J. Weng R. Deng 26 9 0 23 Feb 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 47 0 21 Feb 2023
On Achieving Privacy-Preserving State-of-the-Art Edge Intelligence Daphnee Chabal Dolly Sapra Z. Mann 15 3 0 10 Feb 2023
GPU-based Private Information Retrieval for On-Device Machine Learning Inference Maximilian Lam Jeff Johnson Wenjie Xiong Kiwan Maeng Udit Gupta ... Hsien-Hsin S. Lee Vijay Janapa Reddi Gu-Yeon Wei David Brooks Edward Suh 24 9 0 26 Jan 2023
Label Inference Attack against Split Learning under Regression Setting Shangyu Xie Xin Yang Yuanshun Yao Tianyi Liu Taiqing Wang Jiankai Sun FedML 18 9 0 18 Jan 2023