Travelled to:1 × Brazil
1 × Canada
1 × France
1 × Italy
1 × South Korea
2 × China
2 × USA
Collaborated with:C.Clifton A.Basu ∅ X.He N.R.Adam H.Yu X.Jiang J.C.Corena S.Kiyomoto S.Marsh Y.Miyake T.Dimitrakos H.Kikuchi B.Shafiq M.Xue P.Karras C.Raïssi K.Tan Y.Hong V.Atluri G.Guo J.Zhang
Talks about:privaci (7) preserv (7) data (4) partit (3) vertic (2) anonym (2) nonreciproc (1) nonlinear (1) discoveri (1) horizont (1)
Person: Jaideep Vaidya
DBLP: Vaidya:Jaideep
Contributed to:
2014
20122012
200920092008200620032002Wrote 10 papers:
- SAC-2014-BasuCKMVG0M #feedback #privacy #social
- Privacy preserving trusted social feedback (AB, JCC, SK, SM, JV, GG, JZ, YM), pp. 1706–1711.
- SAC-2014-BasuCKVMM #named
- PrefRank: fair aggregation of subjective user preferences (AB, JCC, SK, JV, SM, YM), pp. 287–288.
- KDD-2012-XueKRVT
- Anonymizing set-valued data by nonreciprocal recoding (MX, PK, CR, JV, KLT), pp. 1050–1058.
- SAC-2012-BasuVDK #case study #collaboration #performance #privacy
- Feasibility of a privacy preserving collaborative filtering scheme on the Google App Engine: a performance case study (AB, JV, TD, HK), pp. 447–452.
- CIKM-2009-HongHVAA #effectiveness #query
- Effective anonymization of query logs (YH, XH, JV, NRA, VA), pp. 1465–1468.
- SAC-2009-Vaidya #linear #privacy #programming
- Privacy-preserving linear programming (JV), pp. 2002–2007.
- SAC-2008-HeSVA #privacy
- Privacy-preserving link discovery (XH, BS, JV, NRA), pp. 909–915.
- SAC-2006-YuJV #kernel #privacy #using
- Privacy-preserving SVM using nonlinear kernels on horizontally partitioned data (HY, XJ, JV), pp. 603–610.
- KDD-2003-VaidyaC #clustering #privacy
- Privacy-preserving k-means clustering over vertically partitioned data (JV, CC), pp. 206–215.
- KDD-2002-VaidyaC #mining #privacy
- Privacy preserving association rule mining in vertically partitioned data (JV, CC), pp. 639–644.