Towards ECDSA key derivation from deep embeddings for novel Blockchain applications
In this work, we propose a straightforward method to derive Elliptic Curve Digital Signature Algorithm (ECDSA) key pairs from embeddings created using Deep Learning and Metric Learning approaches. We also show that these keys allows the derivation of cryptocurrencies (such as Bitcoin) addresses that can be used to transfer and receive funds, allowing novel Blockchain-based applications that can be used to transfer funds or data directly to domains such as image, text, sound or any other domain where Deep Learning can extract high-quality embeddings; providing thus a novel integration between the properties of the Blockchain-based technologies such as trust minimization and decentralization together with the high-quality learned representations from Deep Learning techniques.
Code (0)
등록된 구현이 없습니다.
Tasks
Deep LearningMetric LearningSimilar Papers 제목 키워드 기반
A Differentially Private Blockchain-Based Approach for Vertical Federated Learning
We present the Differentially Private Blockchain-Based Vertical Federal Learning (DP-BBVFL) algorithm that provides verifiability and privacy guarantees for decentralized applications. DP-BBVFL uses a smart contract to a…
Federated LearningVertical Federated LearningBlockchain Infrastructure for Intelligent Cyber--Physical--Social Systems:Post-Quantum Security, Interoperability, and Trustworthy Data Economies in the Era of Embodied AI
The deployment of embodied artificial intelligence via world-model-based robotics presents a transformative opportunity for blockchain infrastructure, establishing urgent demand for trustworthy data provenance, cross-org…
Fast Multiparty Threshold ECDSA with Fast Trustless Setup
A threshold signature scheme enables distributed signing among n players such that any subgroup of size t + 1 can sign, whereas any group with t or fewer players cannot. While there exist previous threshold schemes for…
Derivational Morphological Relations in Word Embeddings
Derivation is a type of a word-formation process which creates new words from existing ones by adding, changing or deleting affixes. In this paper, we explore the potential of word embeddings to identify properties of wo…
ClusteringWord EmbeddingsDerivational Morphological Relations in Word Embeddings
Derivation is a type of a word-formation process which creates new words from existing ones by adding, changing or deleting affixes. In this paper, we explore the potential of word embeddings to identify properties of wo…
ClusteringWord Embeddings