Published on: 02-Jul-2019
Congratulations to the following PhD graduates for their achievement!
for contributions to adversarial machine learning research and technical leadership in system application
Advanced Attack and Defense Techniques in Machine Learning Systems
Zhao Mengchen’s thesis investigates several important problems in the area of adversarial machine learning in order to deepen the understanding of the vulnerabilities of machine learning. An efficient algorithm is proposed to compute label contamination attacks against a class of machine learning algorithms. Moreover, the thesis demonstrates the transferability of data injection attacks in multi-task learning. The thesis also proposes practical solutions for combating adversaries in real-world machine learning systems, including email filtering systems and e-commerce systems.
Combinatorial Algorithms for Scheduling Jobs to Minimize Server Usage Time
Prof Sun Chengzheng (Jury Chair)
Asst Prof Lam Siew Kei
Asst Prof Zinovi Rabinovich
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