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Adversarial Deep Learning Theory and Its Application


Project Description

The objective of this project is to engage the robust minimax theory to develop a unified adversarial classification framework that takes into account uncertainty from data. Aiming at promoting the classification performance of deep neural networks, e.g., Generative Adversarial Networks (GAN), the proposed methodology attempts to exploit the adversarial setting (in particular the theory of adversary example) to study classification approaches as well as the involved efficient optimization algorithms. The intended research will target a unified and scalable adversarial classification framework that assumes no specific attack, no specific perturbation, and no specific loss function. Our proposed research outcome would be expected to applied in pattern recognition, Computer vision, and machine learning.

Requirements:
The candidate should have a first class or upper second class honours degree, or a master’s degree (or equivalent qualification), in Computer Science, Pattern Recognition, Mathematics, Electrical Engineering and related fields. Evidence of good spoken and written English is essential. The candidate should have an IELTS score of 6.5 or above, if the first language is not English. This position is open to all qualified candidates irrespective of nationality.

Degree:
The student will be awarded a PhD degree from the University of Liverpool (UK) upon successful completion of the program.

How to Apply:
Interested applicants are advised to email (XJTLU principal supervisor’s email address) the following documents for initial review and assessment (please put the project title in the subject line).
• CV
• Two reference letters with company/university letterhead
• Personal statement outlining your interest in the position
• Proof of English language proficiency (an IELTS score of 6.5 or above)
• Verified school transcripts in both Chinese and English (for international students, only the English version is required)
• Verified certificates of education qualifications in both Chinese and English (for international students, only the English version is required)

Informal enquiries may be addressed to Professor Kaizhu Huang (), whose personal profile is linked below,
http://www.xjtlu.edu.cn/en/departments/academic-departments/electrical-and-electronic-engineering/staff/kaizhu-huang
http://www.premilab.com/KaizhuHUANG.ashx

Funding Notes

The PhD studentship is available for three years subject to satisfactory progress by the student. The award covers tuition fees for three years (currently equivalent to RMB 80,000 per annum) and provides a monthly stipend of 5000 RMB as a contribution to living expenses. It also provides up to RMB 16,500 to allow participation at international conferences during the period of the award. It is a condition of the award that holders of XJTLU PhD scholarships carry out 300-500 hours of teaching assistance work per year. The scholarship holder is expected to carry out the major part of his or her research at XJTLU in Suzhou, China. However, he or she is eligible for a research study visit to the University of Liverpool of up to three months, if this is required by the project.

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