ECML/PKDD Workshop on Privacy and Security issues in Data Mining and Machine Learning

Format

Sessions 1-3: Participants will give a 20-25 min presentation each, with 5-10min for questions.

Open problems session: To allow for some discussion, we recommend 15-20 min presentation, with 10-15min for questions.

Open discussion Participants are encouraged to make impromptu 5 minute presentations of open problems.

10:30 - 12:00	Session 1	Isaac Cano and Vicenc Torra. Edit Constraints on Microaggregation and Additive Noise Manas Pathak and Bhiksha Raj. Privacy-Preserving Protocols for Eigenvector Computation Henrik Grosskreutz, Benedikt Lemmen and Stefan Ruping. Secure Top-k Subgroup Discovery
12:00 - 12:15	Mini-Break
12:15 - 13:45	Session 2	Gerald Gavin and Julien Velcin. Quadratic error minimization in a distributed enthronement with privacy preserving Manas Pathak and Bhiksha Raj. Large Margin Multiclass Gaussian Classification with Differential Privacy Ching-Hao Mao, Hsing-Kuo Pao, Christos Faloutsos and Hahn-Ming Lee. SBAD: Sequence Based Attack Detection via Sequence Comparison
13:45 - 15:00	Lunch
15:00 - 16:30	Session 3	Tammo Krueger, Nicole Kramer and Konrad Rieck. ASAP: Automatic Semantics-Aware Analysis of Network Payloads Neal Lathia, Stephen Hailes and Licia Capra. Temporal Defences for Robust Recommendations Marco Vanetti, Elisabetta Binaghi, Barbara Carminati, Moreno Carullo and Elena Ferrari. Content-based Filtering in On-line Social Networks
16:30 - 17:00	Coffee break
17:00 - 18:00	Session 4	Charles Elkan. Privacy-preserving data mining via importance weighting Blaine Nelson, Benjamin Rubinstein, Ling Huang, Anthony Joseph and Doug Tygar. Classifier Evasion: Models and Open Problems
18:00 - 18:30	Open discussion