Efficient Deep Learning on Multi-Source Private Data

17 July 2018

Papers citing "Efficient Deep Learning on Multi-Source Private Data"

48 / 48 papers shown

Title
Federated learning with differential privacy and an untrusted aggregator Kunlong Liu Trinabh Gupta 91 0 0 17 Dec 2023
Assume but Verify: Deductive Verification of Leaked Information in Concurrent Applications (Extended Version) Toby C. Murray Mukesh Tiwari G. Ernst David A. Naumann 100 0 0 07 Sep 2023
Privacy and Fairness in Federated Learning: on the Perspective of Trade-off Huiqiang Chen Tianqing Zhu Tao Zhang Wanlei Zhou Philip S. Yu FedML 77 47 0 25 Jun 2023
Blockchain-based Federated Learning with Secure Aggregation in Trusted Execution Environment for Internet-of-Things Aditya Pribadi Kalapaaking Ibrahim Khalil Mohammad Saidur Rahman Mohammed Atiquzzaman X. Yi Mahathir Almashor FedML 64 70 0 25 Apr 2023
Proof of Unlearning: Definitions and Instantiation Jiasi Weng Shenglong Yao Yuefeng Du Junjie Huang Jian Weng Cong Wang MU 71 13 0 20 Oct 2022
Predictive Crypto-Asset Automated Market Making Architecture for Decentralized Finance using Deep Reinforcement Learning Tristan Lim 45 3 0 28 Sep 2022
Machine Learning with Confidential Computing: A Systematization of Knowledge Fan Mo Zahra Tarkhani Hamed Haddadi 94 10 0 22 Aug 2022
Quantization enabled Privacy Protection in Decentralized Stochastic Optimization Yongqiang Wang Tamer Basar 53 47 0 07 Aug 2022
DarKnight: An Accelerated Framework for Privacy and Integrity Preserving Deep Learning Using Trusted Hardware H. Hashemi Yongqin Wang M. Annavaram FedML 64 60 0 30 Jun 2022
Advancing Blockchain-based Federated Learning through Verifiable Off-chain Computations Jonathan Heiss Elias Grunewald Nikolas Haimerl Stefan Schulte Stefan Tai FedML 45 30 0 23 Jun 2022
Decentralized Stochastic Optimization with Inherent Privacy Protection Yongqiang Wang H. Vincent Poor 99 37 0 08 May 2022
Robust and Privacy-Preserving Collaborative Learning: A Comprehensive Survey Shangwei Guo Xu Zhang Feiyu Yang Tianwei Zhang Yan Gan Tao Xiang Yang Liu FedML 97 9 0 19 Dec 2021
Confidential Machine Learning Computation in Untrusted Environments: A Systems Security Perspective Kha Dinh Duy Taehyun Noh Siwon Huh Hojoon Lee 86 9 0 05 Nov 2021
Secure Machine Learning in the Cloud Using One Way Scrambling by Deconvolution Yiftach Savransky Roni Mateless Gilad Katz 21 0 0 04 Nov 2021
Opacus: User-Friendly Differential Privacy Library in PyTorch Ashkan Yousefpour I. Shilov Alexandre Sablayrolles Davide Testuggine Karthik Prasad ... Sayan Gosh Akash Bharadwaj Jessica Zhao Graham Cormode Ilya Mironov VLM 303 370 0 25 Sep 2021
Sharing in a Trustless World: Privacy-Preserving Data Analytics with Potentially Cheating Participants Tham Nguyen Hassan Jameel Asghar Raghav Bhaskar Dali Kaafar F. Farokhi 23 0 0 18 Jun 2021
Separation of Powers in Federated Learning P. Cheng Kevin Eykholt Zhongshu Gu Hani Jamjoom K.R. Jayaram Enriquillo Valdez Ashish Verma FedML 59 13 0 19 May 2021
Citadel: Protecting Data Privacy and Model Confidentiality for Collaborative Learning with SGX Chengliang Zhang Junzhe Xia Baichen Yang Huancheng Puyang Wei Wang Ruichuan Chen Istemi Ekin Akkus Paarijaat Aditya Feng Yan FedML 91 39 0 04 May 2021
Privacy and Integrity Preserving Training Using Trusted Hardware H. Hashemi Yongqin Wang M. Annavaram FedML 29 0 0 01 May 2021
Safer Illinois and RokWall: Privacy Preserving University Health Apps for COVID-19 Vikram Sharma Mailthody James Wei Nicholas Chen Mohammad R. Behnia Ruihao Yao ... Wen-mei W. Hwu Christopher W. Fletcher Jinjun Xiong Andrew K. Miller Sanjay J. Patel 52 2 0 19 Jan 2021
Mitigating Leakage in Federated Learning with Trusted Hardware Javad Ghareh Chamani D. Papadopoulos FedML 62 11 0 10 Nov 2020
GOAT: GPU Outsourcing of Deep Learning Training With Asynchronous Probabilistic Integrity Verification Inside Trusted Execution Environment Aref Asvadishirehjini Murat Kantarcioglu B. Malin 40 12 0 17 Oct 2020
An Extension of Fano's Inequality for Characterizing Model Susceptibility to Membership Inference Attacks Sumit Kumar Jha Susmit Jha Rickard Ewetz Sunny Raj Alvaro Velasquez L. Pullum A. Swami MIACV 43 8 0 17 Sep 2020
Accelerating 2PC-based ML with Limited Trusted Hardware M. Nawaz Aditya Gulati Kunlong Liu Vishwajeet Agrawal P. Ananth Trinabh Gupta 113 2 0 11 Sep 2020
Confidential Attestation: Efficient in-Enclave Verification of Privacy Policy Compliance Weijie Liu Wenhao Wang Xiaofeng Wang Xiaozhu Meng Yaosong Lu ... Qingtao Shen Kai Chen Haixu Tang Yi Chen Luyi Xing 19 2 0 20 Jul 2020
SESAME: Software defined Enclaves to Secure Inference Accelerators with Multi-tenant Execution Sarbartha Banerjee Prakash Ramrakhyani Shijia Wei Mohit Tiwari 23 9 0 14 Jul 2020
Differentially private cross-silo federated learning Mikko A. Heikkilä A. Koskela Kana Shimizu Samuel Kaski Antti Honkela FedML 66 24 0 10 Jul 2020
Offline Model Guard: Secure and Private ML on Mobile Devices Sebastian P. Bayerl Tommaso Frassetto Patrick Jauernig Korbinian Riedhammer A. Sadeghi T. Schneider Emmanuel Stapf Christian Weinert OffRL 72 45 0 05 Jul 2020
Topology-aware Differential Privacy for Decentralized Image Classification Shangwei Guo Tianwei Zhang Guowen Xu Hanzhou Yu Tao Xiang Yang Liu 82 18 0 14 Jun 2020
DarKnight: A Data Privacy Scheme for Training and Inference of Deep Neural Networks H. Hashemi Yongqin Wang M. Annavaram FedML 74 26 0 01 Jun 2020
Revisiting Membership Inference Under Realistic Assumptions Bargav Jayaraman Lingxiao Wang Katherine Knipmeyer Quanquan Gu David Evans 77 151 0 21 May 2020
An Overview of Privacy in Machine Learning Emiliano De Cristofaro SILM 81 87 0 18 May 2020
Serdab: An IoT Framework for Partitioning Neural Networks Computation across Multiple Enclaves Tarek Elgamal Klara Nahrstedt FedML 28 32 0 12 May 2020
DarkneTZ: Towards Model Privacy at the Edge using Trusted Execution Environments Fan Mo Ali Shahin Shamsabadi Kleomenis Katevas Soteris Demetriou Ilias Leontiadis Andrea Cavallaro Hamed Haddadi FedML 68 182 0 12 Apr 2020
Towards Inheritable Models for Open-Set Domain Adaptation Jogendra Nath Kundu Naveen Venkat R. Ambareesh V. RahulM. R. Venkatesh Babu VLM 63 120 0 09 Apr 2020
On the Convergence of Artificial Intelligence and Distributed Ledger Technology: A Scoping Review and Future Research Agenda Konstantin D. Pandl Scott Thiebes Manuel Schmidt-Kraepelin Ali Sunyaev 72 71 0 29 Jan 2020
Towards Security Threats of Deep Learning Systems: A Survey Yingzhe He Guozhu Meng Kai Chen Xingbo Hu Jinwen He AAML ELM 56 14 0 28 Nov 2019
Privacy-Preserving Multi-Party Contextual Bandits Awni Y. Hannun Brian Knott Shubho Sengupta Laurens van der Maaten 59 6 0 11 Oct 2019
Key Protected Classification for Collaborative Learning Mert Bulent Sariyildiz R. G. Cinbis Erman Ayday 49 10 0 27 Aug 2019
Enabling Privacy-Preserving, Compute- and Data-Intensive Computing using Heterogeneous Trusted Execution Environment Jianping Zhu Rui Hou Xiaofeng Wang Wenhao Wang Jiangfeng Cao ... Peinan Li Zhongpu Wang Boyan Zhao Lixin Zhang Dan Meng 62 15 0 09 Apr 2019
Evaluating Differentially Private Machine Learning in Practice Bargav Jayaraman David Evans 140 7 0 24 Feb 2019
No Peek: A Survey of private distributed deep learning Praneeth Vepakomma Tristan Swedish Ramesh Raskar O. Gupta Abhimanyu Dubey SyDa FedML 70 100 0 08 Dec 2018
Reaching Data Confidentiality and Model Accountability on the CalTrain Zhongshu Gu Hani Jamjoom D. Su Heqing Huang Jialong Zhang Tengfei Ma Dimitrios E. Pendarakis Ian Molloy FedML 60 15 0 07 Dec 2018
Split learning for health: Distributed deep learning without sharing raw patient data Praneeth Vepakomma O. Gupta Tristan Swedish Ramesh Raskar FedML 123 712 0 03 Dec 2018
A Roadmap Towards Resilient Internet of Things for Cyber-Physical Systems Denise Ratasich Faiq Khalid Florian Geissler Radu Grosu Mohamed Bennai E. Bartocci 80 102 0 16 Oct 2018
Privado: Practical and Secure DNN Inference with Enclaves Karan Grover Shruti Tople Shweta Shinde Ranjita Bhagwan Ramachandran Ramjee FedML SILM 69 46 0 01 Oct 2018
MLCapsule: Guarded Offline Deployment of Machine Learning as a Service L. Hanzlik Yang Zhang Kathrin Grosse A. Salem Maximilian Augustin Michael Backes Mario Fritz OffRL 93 105 0 01 Aug 2018
Confidential Inference via Ternary Model Partitioning Zhongshu Gu Heqing Huang Jialong Zhang D. Su Hani Jamjoom Ankita Lamba Dimitrios E. Pendarakis Ian Molloy 85 53 0 03 Jul 2018