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Although it is popular to outsource storage and computation to cloud, it may invade privacy of participants\u2019 information. Cryptography\u2010based privacy\u2010preserving data mining has been proposed to protect the privacy of participating parties\u2019 data for this process. However, it is still an open problem to handle with multiparticipant\u2019s ciphertext computation and analysis. And these algorithms rely on the semihonest security model which requires all parties to follow the protocol rules. In this paper, we address the challenge of outsourcing ID3 decision tree algorithm in the malicious model. Particularly, to securely store and compute private data, the two\u2010participant symmetric homomorphic encryption supporting addition and multiplication is proposed. To keep from malicious behaviors of cloud computing server, the secure garbled circuits are adopted to propose the privacy\u2010preserving weight average protocol. 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