Adaptive Value-Flow Analysis to Improve Code Reliability and Security

Funding: 2017: $42,352
2018: $125,729
2019: $120,000

Project Member(s): Sui, Y.

Funding or Partner Organisation: Australian Research Council (ARC DECRA Scheme)
Australian Research Council (ARC DECRA Scheme)

Start year: 2017

Publications:

Zhang, Y, Sui, Y, Pan, S, Zheng, Z, Ning, B, Tsang, I & Zhou, W 2020, 'Familial Clustering for Weakly-Labeled Android Malware Using Hybrid Representation Learning', IEEE Transactions on Information Forensics and Security, vol. 15, pp. 3401-3414.
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Sui, Y, Fan, X, Zhou, H & Xue, J 2018, 'Loop-Oriented Pointer Analysis for Automatic SIMD Vectorization', ACM Transactions on Embedded Computing Systems, vol. 17, no. 2, pp. 1-31.
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FOR Codes: Application Tools and System Utilities, Software Engineering, Programming Languages, Empirical software engineering, Information systems, technologies and services not elsewhere classified

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.