">PPDM'03:
The Second Workshop on Privacy Preserving Data Mining.  Melbourne,
Florida, USA, November 19, 2003.  In conjunction with ICDM'03: The Third
IEEE International Conference on Data Mining 2003. (submissions due August
29, 2003).

One of the key requirements of a data mining project is access to the
relevant data. Privacy and security concerns can constrain such access,
threatening to derail data mining projects. This workshop will bring
together researchers and practitioners to identify problems and solutions
where data mining interferes with privacy and security. Papers are
solicited that identify and propose technical solutions to the privacy
preserving data mining problems.  Sample topics (by no means an exhaustive
list) include:


- Learning from perturbed/obscured data.

- Techniques for protecting confidentiality of sensitive information,
including work on statistical databases,
and obscuring or restricting data access to prevent violation of
privacy and security policies.


- Learning from distributed data sets with limits on sharing of
information.


- Hiding knowledge in data sets.


- Underlying methods and techniques to support data mining while respecting
privacy and security (e.g., secure multi-party computation).


- The relationship between privacy and knowledge discovery,
and algorithms for balancing privacy and knowledge discovery.


- Use of data mining results to reconstruct private information, and
corporate security in the face of analysis by KDDM and statistical
tools of public data by competitors.


- Meanings and measuring of "privacy" in privacy-preserving data mining.


- Use of anonymity techniques to protect privacy in data mining.


The complete call for papers can be found on the workshop web page at
http://www.cis.syr.edu/~wedu/ppdm2003/.