ITF Grant Awarded

I have been awarded an ITF grant from Hong Kong government with title ” vMPOS: Virtual Mobile POS using Smartphone and Near Field Communication” for HK$ 3,927,250 (2020-2023).

Two Papers Accepted in ICDE 2020 and ICDCS 2020

Our paper “Towards Locally Differentially Private Generic Graph Metric Estimation” has been accepted for publish in IEEE ICDE 2020.

Our paper “Cloud Password Shield: A Secure Cloud-based Firewall against DDoS on Authentication Servers” has been accepted for publish in IEEE ICDCS 2020.

(New!) PhD students and 4 postdoc wanted (contract starting from July 1, 2020)

I have openings for 1~2 PhD students (2021 in-take), 2~3 research assistants, and 4 postdoc researchers in the field of machine learning, data security and privacy. The detailed requirements are as follows:

  1. Bachelor or Master degree in Computer Science, Software Engineering or Information Engineering in well-known universities. Preferences are given to applicants with some research experience.
  2. Good programming skills in at least one mainstream language such as Java, Python and C++.
  3. Good reading/writing skills in English. Preferences are given to applicants who score 80+ in TOEFL (iBT) or 6.5+ in IELTS.

Remuneration is highly competitive.

  • For PhD students, if you are awarded Hong Kong PhD Fellowships (HKPFS), you can receive 25.8k HKD (equiv. to 3.2k USD) monthly and other matching benefits by the university/department.
  • For research assistants, the monthly salary is 18k HKD for bachelor degree holders) and 21k HKD for master degree holders.
  • For Postdocs, the monthly salary is fixed at 32k HKD (equiv. to 4k USD).

Those interested please send your CV, publication, and/or transcripts to Dr. Haibo Hu at haibo.hu@polyu.edu.hk

Further information:

1. Dr. Haibo Hu’s website: www.haibohu.org

2. Applied Security, Trust and Privacy Lab: http://www.astaple.com/

3. Information about HKPFS application with Hong Kong Polytechnic University: http://www.polyu.edu.hk/ro/hkphd-fellowship/

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Best Paper Award

Our paper “Preserving User Privacy For Machine Learning: Local Differential Privacy or Federated Machine Learning?” has received the Best Theory Paper Award in the 1st International Workshop on Federated Machine Learning for User Privacy and Data Confidentiality (FML’19), in conjunction with IJCAI’19.

GRF Grant Awarded

I have been awarded an RGC/GRF grant with title “Auditing Machine Learning as a Service” for HK$ 731,089 (2020-2022).