zkDL: Efficient Zero-Knowledge Proofs of Deep Learning Training

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zkDL: Efficient Zero-Knowledge Proofs of Deep Learning Training

IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2023

30 July 2023

Hongyang R. Zhang

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

18 / 18 papers shown

Title
Fortytwo: Swarm Inference with Peer-Ranked Consensus Vladyslav Larin Ihor Naumenko Aleksei Ivashov Ivan Nikitin Alexander Firsov 48 0 0 27 Oct 2025
Verifiable Fine-Tuning for LLMs: Zero-Knowledge Training Proofs Bound to Data Provenance and Policy Hasan Akgul Daniel Borg Arta Berisha Amina Rahimova Andrej Novak Mila Petrov ALM 186 0 0 19 Oct 2025
ZKProphet: Understanding Performance of Zero-Knowledge Proofs on GPUs Tarunesh Verma Yichao Yuan Nishil Talati Todd Austin 65 0 0 17 Sep 2025
VeriLoRA: Fine-Tuning Large Language Models with Verifiable Security via Zero-Knowledge Proofs Guofu Liao Taotao Wang Shengli Zhang Jiqun Zhang Shi Long Dacheng Tao ALM 151 0 0 29 Aug 2025
ToxiEval-ZKP: A Structure-Private Verification Framework for Molecular Toxicity Repair Tasks Fei Lin Tengchao Zhang Ziyang Gong Fei Wang 109 0 0 16 Aug 2025
Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Filippo Scaramuzza Giovanni Quattrocchi Damian A. Tamburri 112 3 0 26 May 2025
FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-KnowledgeIEEE Symposium on Security and Privacy (S&P), 2025 Tianyu Zhang Shen Dong O. Deniz Kose Yanning Shen Yanzhe Zhang FaML 223 2 0 12 May 2025
A Framework for Cryptographic Verifiability of End-to-End AI Pipelines Kar Balan Robert Learney Tim Wood 170 4 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 258 18 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 343 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 189 1 0 29 Jul 2024
Complete Security and Privacy for AI Inference in Decentralized Systems Hongyang Zhang Yue Zhao Claudio Angione Harry Yang James Buban Ahmad Farhan Fielding Johnston Patrick Colangelo 69 0 0 28 Jul 2024
Laminator: Verifiable ML Property Cards using Hardware-assisted Attestations Vasisht Duddu Oskari Jarvinen Lachlan J. Gunn Nirmal Asokan 413 3 0 25 Jun 2024
Trustless Audits without Revealing Data or Models Suppakit Waiwitlikhit Ion Stoica Yi Sun Tatsunori Hashimoto Daniel Kang MLAU 88 16 0 06 Apr 2024
Holding Secrets Accountable: Auditing Privacy-Preserving Machine Learning Hidde Lycklama Alexander Viand Nicolas Küchler Christian Knabenhans Anwar Hithnawi 187 10 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 157 18 0 05 Feb 2024
DeepReShape: Redesigning Neural Networks for Efficient Private Inference N. Jha Brandon Reagen 265 14 0 20 Apr 2023
Verifiable and Provably Secure Machine Unlearning Thorsten Eisenhofer Doreen Riepel Varun Chandrasekaran Esha Ghosh O. Ohrimenko Nicolas Papernot AAML MU 310 37 0 17 Oct 2022