One Picture is Worth a Thousand Words: A New Wallet Recovery Process
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Abstract (arXiv)
We introduce a new wallet recovery process. Our solution associates 1) visual passwords: a photograph of a secretly picked object (Chabanne et al., 2013) with 2) ImageNet classifiers transforming images into binary vectors and, 3) obfuscated fuzzy matching (Galbraith and Zobernig, 2019) for the storage of visual passwords/retrieval of wallet seeds. Our experiments show that the replacement of long seed phrases by a photograph is possible.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 11 of its 31 references that are in the map. First posted on arXiv 5 May 2022.
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References · 11
- 2014Very Deep Convolutional Networks for Large-Scale Image Recognitioncited by 15,267
- 2016Stealing Machine Learning Models via Prediction APIscited by 602
- 2018Knockoff Nets: Stealing Functionality of Black-Box Modelscited by 285
- 2019Intrinsic dimension of data representations in deep neural networkscited by 276
- 2018Stealing Hyperparameters in Machine Learningcited by 115
- 2018Exploring Connections Between Active Learning and Model Extractioncited by 84
- 2020Cryptanalytic Extraction of Neural Network Modelscited by 65
- 2021F1: A Fast and Programmable Accelerator for Fully Homomorphic Encryption (Extended Version)cited by 23
- 2022Increasing the Cost of Model Extraction with Calibrated Proof of Workcited by 21
- 2020Indistinguishability Obfuscation from Well-Founded Assumptionscited by 12
- 2017A Survey on Security and Privacy Issues of Bitcoincited by 6
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