IEEE S&P 2019 Paper Accepted

Our paper “PrivKV: Key-Value Data Collection with Local Differential
Privacy” has been accepted by IEEE Symposium on Security and Privacy (S&P) 2019.

Two Papers Accepted (SIGMOD and TKDE)

Our paper “When Query Authentication Meets Fine-Grained Access Control: A Zero-Knowledge Approach” has been accepted as a full paper by ACM SIGMOD 2018.

Our paper “Authenticating Aggregate Queries over Set-Valued Data with Confidentiality” has been accepted by IEEE Transactions on Knowledge and Data Engineering.

Looking for PhD Student

Currently I have several openings for PhD students in the field of Data Management or Information Security. 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. If you are awarded Hong Kong PhD Fellowships (HKPFS), you can receive 20k HKD (equiv. to 2.5k USD) monthly and other matching benefits by the university/department.

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/en/

doctoral

Journal Paper Accepted

Our paper titled “Geo-Social Group Queries with Minimum Acquaintance Constraints” has been accepted for publication in the VLDB journal.

Journal Paper Accepted

A research paper titled “Reducing Uncertainty of Probabilistic Top-k Ranking via Pairwise Crowdsourcing” has been accepted for publication in IEEE Transactions on Knowledge and Data Engineering (TKDE).