This workshop is with the Twenty-sixth International Joint Conference on Artificial Intelligence 
(IJCAI-17) will be held in Melbourne, Australia, August 19-25, 2017.

We solicit contributions on the advanced techniques for Abuse Preventive Data Mining.

Data mining critically relies on the information (data and domain knowledge) disclosure 
from the data curator, and the information accessibility from the data miners. This fully 
or partial transfer of information ownership, if not done properly, may lead to information 
abuse. Here, information abuse is referred to the disclosure of important information for 
which the data owners are not willing to disclose, including but not limited to the private 
information of users, the trade secret of businesses, etc.

Abuse Preventive Data Mining (APDM) aims to curb the potential information abuse across 
different steps of data mining. There are various related studies such as privacy-preserving 
data mining, data security, data propriety maintenance, distributed learning, etc. 
These efforts, however, are disparate in different domains. Now it is the time to revisit 
from a unified perspective, especially when considering the fact that most related studies 
can be categorized based on their levels of information ownership transferring:

    - Full Access to Data: data will be processed before releasing.
    - Partial Access to Data: distributed data access.
    - No Access to Data: access to intermediate result.

Advances in abuse protective data mining will result in safer collaboration and trusted 
information sharing. We believe that it is a good time to cover these topics in the workshop, 
which offers a timely forum for researchers and industry partners to present and discuss
latest advances in abuse preventive data mining.
 

Submission Guidelines

To further contribute to the understanding of Abuse Preventive Data Mining, we invite original 
articles in relevant topics, which include but are not limited to:

    - Data Mining Tasks Formalization
    - Privacy Preserving
    - Privacy Preserving Data Publishing
    - Data Security
    - Knowledge Protection
    - Data Ownership Abusing
    - Data Permission Abusing
    - Data Protection in Outsourcing
    - Data Privacy in Information Sharing
    - Trusted Flow of Information
    - Information Abuse Formalization

Paper Submission Due:         07/05/2017
Author Notification Due:        07/06/2017
Conference Days:             19-21/08/2017
 

Formatting Guidelines, LaTeX Styles and Word Template can be dowloaded 
from http://ijcai-17.org/FormattingGuidelinesIJCAI-17.zip. 

The submission site is 
available at https://easychair.org/conferences/?conf=apdm2017

Committees

Organizing committee

• Gang Li, Deakin University, Australia
• Zhi-Hua Zhou, Nanjing University, China