Analytical model of Bitcoin mining rewards under tie-breaking rules finds no incentive for miners to propagate others' blocks, with first-seen rule maximizing propagation incentives but minimizing fairness.
In: Proceedings of the 2020 ACM SIGSAC Conference on Computer and Communica- tions Security
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A privacy-by-design pipeline using static Drebin features fed to an SVM with dual-reject thresholds defers 6.7% of samples to sandboxed dynamic analysis and reaches F1 0.87 on 2024-2025 data without accessing user information.
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On the Incentive Compatibility of Block Propagation in Bitcoin
Analytical model of Bitcoin mining rewards under tie-breaking rules finds no incentive for miners to propagate others' blocks, with first-seen rule maximizing propagation incentives but minimizing fairness.
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Don't Trust Us: A privacy-by-design android malware detection pipeline
A privacy-by-design pipeline using static Drebin features fed to an SVM with dual-reject thresholds defers 6.7% of samples to sandboxed dynamic analysis and reaches F1 0.87 on 2024-2025 data without accessing user information.