zkDL: Efficient Zero-Knowledge Proofs of Deep Learning Training

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zkDL: Efficient Zero-Knowledge Proofs of Deep Learning Training

30 July 2023

Hongyang R. Zhang

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Papers citing "zkDL: Efficient Zero-Knowledge Proofs of Deep Learning Training"

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Title
Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Filippo Scaramuzza Giovanni Quattrocchi Damian A. Tamburri 32 0 0 26 May 2025
FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Tianyu Zhang Shen Dong O. Deniz Kose Yanning Shen Yanzhe Zhang FaML 83 0 0 12 May 2025
A Framework for Cryptographic Verifiability of End-to-End AI Pipelines Kar Balan Robert Learney Tim Wood 75 2 0 28 Mar 2025
A Survey of Zero-Knowledge Proof Based Verifiable Machine Learning Zhizhi Peng Taotao Wang Chonghe Zhao Guofu Liao Zibin Lin Yixiao Liu Bin Cao Long Shi Qing Yang Shengli Zhang 108 5 0 25 Feb 2025
Towards Understanding and Enhancing Security of Proof-of-Training for DNN Model Ownership Verification Yijia Chang Hanrui Jiang Chao Lin Xinyi Huang Jian Weng AAML 143 0 0 06 Oct 2024
Model Agnostic Hybrid Sharding For Heterogeneous Distributed Inference Claudio Angione Yue Zhao Harry Yang Ahmad Farhan Fielding Johnston James Buban Patrick Colangelo 90 1 0 29 Jul 2024
Laminator: Verifiable ML Property Cards using Hardware-assisted Attestations Vasisht Duddu Oskari Jarvinen Lachlan J. Gunn Nirmal Asokan 153 1 0 25 Jun 2024
Trustless Audits without Revealing Data or Models Suppakit Waiwitlikhit Ion Stoica Yi Sun Tatsunori Hashimoto Daniel Kang MLAU 38 10 0 06 Apr 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
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 82 13 0 05 Feb 2024
DeepReShape: Redesigning Neural Networks for Efficient Private Inference N. Jha Brandon Reagen 95 10 0 20 Apr 2023
Verifiable and Provably Secure Machine Unlearning Thorsten Eisenhofer Doreen Riepel Varun Chandrasekaran Esha Ghosh O. Ohrimenko Nicolas Papernot AAML MU 102 27 0 17 Oct 2022