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And let's be honest, models rubbing their skivvies on each other as they stare off into space isn't the least bit sexy.
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By comparison Shareapic has an honest model, so honest in fact that it should be the way of the future.
Yet while it is a more honest model for connecting game makers to fans, even Kickstarter et al struggle with acceptance.
Within the semi-honest model, we assume that random number generation is performed properly.
In this section, we provide a security sketch of the proposed privacy-preserving comparison protocol in the semi-honest model.
This subprotocol is secure in the semi-honest model and requires all parties to follow the subprotocol.
Although existing solutions seem faster than the proposed system, they propose their solutions in the semi-honest model whereas our solution is secure under malicious adversary model.
On the other hand, Kulkarni et al.'s system offers solution for semi-honest model which also means that it is insecure for the malicious model.
Although out of the scope of our semi-honest model, users are able to manipulate the clustering output by providing fake input data.
Kerschbaum et al. [61] propose a protocol to compare fingerprint templates without actually exchanging them by using secure multi-party computation in the semi-honest model.
Barni et al. [20, 43] propose a privacy preservation system for fingercode templates by using homomorphic encryption in the semi-honest model where all parties follow the protocol, but dishonest parties may be curious to violate others' privacy.
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