Proof-of-Learning: Definitions and Practice

Proof-of-Learning: Definitions and Practice

9 March 2021

Mohammad Yaghini

Christopher A. Choquette-Choo

Natalie Dullerud

Varun Chandrasekaran

Nicolas Papernot

Papers citing "Proof-of-Learning: Definitions and Practice"

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Title
FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint Shuo Shao Haozhe Zhu Hongwei Yao Yiming Li Tianwei Zhang Z. Qin Kui Ren 140 0 0 28 Jan 2025
AIArena: A Blockchain-Based Decentralized AI Training Platform Zhipeng Wang Rui Sun Elizabeth Lui Tuo Zhou Yizhe Wen Jiahao Sun 74 1 0 19 Dec 2024
Neural Interactive Proofs Lewis Hammond Sam Adam-Day AAML 84 2 0 12 Dec 2024
SoK: Decentralized AI (DeAI) Zhipeng Wang Rui Sun Elizabeth Lui Vatsal Shah Xihan Xiong Jiahao Sun Davide Crapis William Knottenbelt 96 1 0 26 Nov 2024
On the Weaknesses of Backdoor-based Model Watermarking: An Information-theoretic Perspective Aoting Hu Yanzhi Chen Renjie Xie Adrian Weller 38 0 0 10 Sep 2024
Laminator: Verifiable ML Property Cards using Hardware-assisted Attestations Vasisht Duddu Oskari Jarvinen Lachlan J. Gunn Nirmal Asokan 67 1 0 25 Jun 2024
Data Quality in Edge Machine Learning: A State-of-the-Art Survey M. D. Belgoumri Mohamed Reda Bouadjenek Sunil Aryal Hakim Hacid 38 1 0 01 Jun 2024
Proof of Deep Learning: Approaches, Challenges, and Future Directions Mahmoud Salhab Khaleel W. Mershad 18 1 0 31 Aug 2023
Gradients Look Alike: Sensitivity is Often Overestimated in DP-SGD Anvith Thudi Hengrui Jia Casey Meehan Ilia Shumailov Nicolas Papernot 20 3 0 01 Jul 2023
The Alignment Problem from a Deep Learning Perspective Richard Ngo Lawrence Chan Sören Mindermann 52 181 0 30 Aug 2022
On the Difficulty of Defending Self-Supervised Learning against Model Extraction Adam Dziedzic Nikita Dhawan Muhammad Ahmad Kaleem Jonas Guan Nicolas Papernot MIACV 46 22 0 16 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Xingliang Yuan Shirui Pan Hanghang Tong Jian Pei 45 104 0 16 May 2022
Fingerprinting Deep Neural Networks Globally via Universal Adversarial Perturbations Zirui Peng Shaofeng Li Guoxing Chen Cheng Zhang Haojin Zhu Minhui Xue AAML FedML 31 66 0 17 Feb 2022
SoK: Machine Learning Governance Varun Chandrasekaran Hengrui Jia Anvith Thudi Adelin Travers Mohammad Yaghini Nicolas Papernot 30 16 0 20 Sep 2021
Dataset Inference: Ownership Resolution in Machine Learning Pratyush Maini Mohammad Yaghini Nicolas Papernot FedML 69 103 0 21 Apr 2021