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Titlebook: Security and Cryptography for Networks; 14th International C Clemente Galdi,Duong Hieu Phan Conference proceedings 2024 The Editor(s) (if a

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Client-Aided Privacy-Preserving Machine Learningalicious clients. We believe these new client-aided techniques may be of independent interest..We implement our protocols and compare them with the two-server PPML protocols presented in SecureML (Mohassel and Zhang, S&P’17) across various settings and ABY2.0 (Patra et al., Usenix Security’21) theor
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Encrypted Multi-map that Hides Query, Access, and Volume Patterns discuss the strengths and limitations of our construction, including its resizability, and highlight that optimized solutions, even with heavy network utilization, may become practical as network speed improves.
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On the Concrete Security of Non-interactive FRIhese parameters is severely lacking, being anywhere between 21- and 63-bits less secure than the conjectured security. The conjectured security of FRI assumes that known attacks are optimal, the security of these systems would be severely compromised should a better attack be discovered. In light of
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Scalable Agreement Protocols with Optimal Optimistic Efficiencyions) with the following guarantees:.Thus, all an adversary can gain from deviating from the honest execution is that honest parties will need to work harder (i.e., transmit more bits) to reach agreement and terminate. We use our new framework to get a scalable MPC protocol with optimistic and pessi
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