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    Chapter and Conference Paper

    Predicting Comprehensive Drug-Drug Interactions for New Drugs via Triple Matrix Factorization

    There is an urgent need to discover or deduce drug-drug interactions (DDIs), which would cause serious adverse drug reactions. However, preclinical detection of DDIs bears a high cost. Machine learning-based c...

    Jian-Yu Shi, Hua Huang, Jia-**n Li, Peng Lei in Bioinformatics and Biomedical Engineering (2017)

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    Chapter and Conference Paper

    Strong Known Related-Key Attacks and the Security of ECDSA

    The classical related-key attack (RKA) model fails to capture some real world systems that introduce related secret keys by design. In some blockchain applications, public keys are generated in a way that th...

    Tsz Hon Yuen, Siu-Ming Yiu in Network and System Security (2019)

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    Chapter and Conference Paper

    Blind Polynomial Evaluation and Data Trading

    Data trading is an emerging business, in which data sellers provide buyers with, for example, their private datasets and get paid from buyers. In many scenarios, sellers prefer to sell pieces of data, such as ...

    Yi Liu, Qi Wang, Siu-Ming Yiu in Applied Cryptography and Network Security (2021)

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    Chapter and Conference Paper

    Analyzing the Error Rates of Bitcoin Clustering Heuristics

    Bitcoin is a decentralized peer-to-peer cryptocurrency. Bitcoin’s strong cryptography ensures anonymity that makes it possible to profit from crimes such as ransomware attacks and money laundering. Unfortunate...

    Yanan Gong, Kam-Pui Chow, Hing-Fung Ting in Advances in Digital Forensics XVIII (2022)

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    Chapter and Conference Paper

    Making Private Function Evaluation Safer, Faster, and Simpler

    In the problem of two-party private function evaluation (PFE), one party \(\mathsf {P}_{\mathsf {A}}\) ...

    Yi Liu, Qi Wang, Siu-Ming Yiu in Public-Key Cryptography – PKC 2022 (2022)

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    Chapter and Conference Paper

    Automatic EPS Calculation Guided Genetic Algorithm and Incremental PCA Based DBSCAN of Extracted Acoustic Features for Anomalous Sound Detection

    This paper focuses on automatic detection of anomalies in audio files. We introduce an automated unsupervised algorithm which integrates AEC-guided Genetic Algorithm and Incremental PCA and DBSCAN to detect th...

    **ao Tan, Siu Ming Yiu in Advanced Research in Technologies, Informa… (2024)

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    Chapter and Conference Paper

    Privacy-Preserving Blockchain-Based Traceability System with Decentralized Ciphertext-Policy Attribute-Based Encryption

    Traceability, being the ability to access information of an item throughout its lifecycle, plays an important part in current supply chain, facilitating prompt response in case of incidents. In recent years, b...

    Tsz Ho Pun, Yi Jun He, Siu Ming Yiu in Ubiquitous Security (2024)