Travelled to:
1 × Finland
1 × Poland
2 × Greece
3 × USA
Collaborated with:
Z.Yang S.Zhong G.Jagannathan Y.Ishai T.Malkin J.Sakuma S.Kobayashi D.J.Mir S.Muthukrishnan A.Nikolov M.J.Strauss J.Feigenbaum K.Nissim M.Strauss
Talks about:
privaci (4) preserv (4) data (4) multiparti (2) distribut (2) approxim (2) privat (2) comput (2) anonym (2) arbitrarili (1)
Person: Rebecca N. Wright
DBLP: Wright:Rebecca_N=
Contributed to:
Wrote 8 papers:
- PODS-2011-MirMNW #algorithm #sketching #statistics
- Pan-private algorithms via statistics on sketches (DJM, SM, AN, RNW), pp. 37–48.
- ICML-2008-SakumaKW #learning #privacy
- Privacy-preserving reinforcement learning (JS, SK, RNW), pp. 864–871.
- ICALP-2007-IshaiMSW #approximate #multi
- Private Multiparty Sampling and Approximation of Vector Combinations (YI, TM, MJS, RNW), pp. 243–254.
- KDD-2005-JagannathanW #clustering #distributed #privacy
- Privacy-preserving distributed k-means clustering over arbitrarily partitioned data (GJ, RNW), pp. 593–599.
- KDD-2005-YangZW
- Anonymity-preserving data collection (ZY, SZ, RNW), pp. 334–343.
- PODS-2005-ZhongYW #privacy
- Privacy-enhancing k-anonymization of customer data (SZ, ZY, RNW), pp. 139–147.
- KDD-2004-WrightY #distributed #network #privacy #semistructured data
- Privacy-preserving Bayesian network structure computation on distributed heterogeneous data (RNW, ZY), pp. 713–718.
- ICALP-2001-FeigenbaumIMNSW #approximate #multi
- Secure Multiparty Computation of Approximations (JF, YI, TM, KN, MS, RNW), pp. 927–938.