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Found 3 papers, 2 papers with code
Eth2Vec: Learning Contract-Wide Code Representations for Vulnerability Detection on Ethereum Smart Contracts
Therefore, Eth2Vec can detect vulnerabilities in smart contracts by comparing the code similarity between target EVM bytecodes and the EVM bytecodes it already learned.
Hunting for Re-Entrancy Attacks in Ethereum Smart Contracts via Static Analysis
Ethereum smart contracts are programs that are deployed and executed in a consensus-based blockchain managed by a peer-to-peer network.
Cryptography and Security
MOBIUS: Model-Oblivious Binarized Neural Networks
A privacy-preserving framework in which a computational resource provider receives encrypted data from a client and returns prediction results without decrypting the data, i. e., oblivious neural network or encrypted prediction, has been studied in machine learning that provides prediction services.
