Travelled to:1 × China
1 × France
1 × Greece
6 × USA
Collaborated with:L.Getoor J.Gehrke D.Kifer J.Shanmugasundaram N.N.Dalvi X.He A.Crainiceanu P.Linga B.Ding T.Rekatsinas A.Deshpande B.Pang A.Korolova A.D.Sarma M.Götz A.D.Sarma A.Jain P.Bohannon R.Kumar V.Rastogi E.Vee M.N.Garofalakis G.Cormode C.M.Procopiuc D.Srivastava
Talks about:privaci (5) data (5) use (3) framework (2) adversari (2) structur (2) resolut (2) publish (2) system (2) privat (2)
Person: Ashwin Machanavajjhala
DBLP: Machanavajjhala:Ashwin
Contributed to:
2015
2014
20132013
2012
2012201220112011201120092008200720062004Wrote 17 papers:
- VLDB-2015-HeCMPS #named #synthesis #using
- DPT: Differentially Private Trajectory Synthesis Using Hierarchical Reference Systems (XH, GC, AM, CMP, DS), pp. 1154–1165.
- SIGMOD-2014-HeMD #policy #privacy #trade-off #using
- Blowfish privacy: tuning privacy-utility trade-offs using policies (XH, AM, BD), pp. 1447–1458.
- KDD-2013-GetoorM #big data
- Entity resolution for big data (LG, AM), p. 1527.
- KDD-2013-GetoorM13a #network
- Network sampling (LG, AM), p. 1528.
- VLDB-2013-RekatsinasDM #clustering #multi
- A SPARSI: Partitioning Sensitive Data amongst Multiple Adversaries (TR, AD, AM), pp. 1594–1605.
- CIKM-2012-SarmaJMB #automation #scalability
- An automatic blocking mechanism for large-scale de-duplication tasks (ADS, AJ, AM, PB), pp. 1055–1064.
- PODS-2012-KiferM #framework #privacy
- A rigorous and customizable framework for privacy (DK, AM), pp. 77–88.
- VLDB-2012-DalviMP #analysis #web
- An Analysis of Structured Data on the Web (NND, AM, BP), pp. 680–691.
- VLDB-2012-GetoorM #challenge
- Entity Resolution: Theory, Practice & Open Challenges (LG, AM), pp. 2018–2019.
- KDD-2011-DalviKMR #nearest neighbour #using
- Sampling hidden objects using nearest-neighbor oracles (NND, RK, AM, VR), pp. 1325–1333.
- SIGMOD-2011-KiferM #privacy
- No free lunch in data privacy (DK, AM), pp. 193–204.
- VLDB-2011-MachanavajjhalaKS #personalisation #question #recommendation #social
- Personalized Social Recommendations — Accurate or Private? (AM, AK, ADS), pp. 440–450.
- VLDB-2009-MachanavajjhalaGG
- Data Publishing against Realistic Adversaries (AM, JG, MG), pp. 790–801.
- VLDB-2008-MachanavajjhalaVGS #scalability
- Scalable ranked publish/subscribe (AM, EV, MNG, JS), pp. 451–462.
- SIGMOD-2007-CrainiceanuLMGS #named #performance #robust
- P-ring: an efficient and robust P2P range index structure (AC, PL, AM, JG, JS), pp. 223–234.
- PODS-2006-MachanavajjhalaG #on the #performance #privacy
- On the efficiency of checking perfect privacy (AM, JG), pp. 163–172.
- SIGMOD-2004-CrainiceanuLMGS #framework #peer-to-peer
- An Indexing Framework for Peer-to-Peer Systems (AC, PL, AM, JG, JS), pp. 939–940.