Titlebook: Computer Security – ESORICS 2022; 27th European Sympos Vijayalakshmi Atluri,Roberto Di Pietro,Weizhi Meng Conference proceedings 2022 The E

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harmony

Foreknowledge

Opportunistic Algorithmic Double-Spending:no’s EUTXO model, appear more robust against ., we nevertheless demonstrate scenarios where transactions are . and thus vulnerable. To determine whether .-like semantics can be observed in practice, we analyze the execution traces of . transactions on the Ethereum blockchain. Hereby, we are able to

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Privacy Leakage in Privacy-Preserving Neural Network Inferencee claimed-secure protocols do not meet the underlying security model. We then go into particular steps in . and demonstrate that the signs of input data would be inevitably revealed to the (either semi-honest or malicious) third party responsible for assisting protocol executions. To show such leaka

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