Travelled to:1 × Australia
1 × Denmark
1 × United Kingdom
4 × USA
Collaborated with:∅ A.Roth S.P.Vadhan J.Hsu M.Bun J.Thaler T.Roughgarden A.Gupta M.Hardt S.P.Kasiviswanathan M.Rudelson A.Smith
Talks about:privat (6) differenti (3) privaci (3) releas (3) queri (3) linear (2) price (2) fingerprint (1) equilibrium (1) algorithm (1)
Person: Jonathan Ullman
DBLP: Ullman:Jonathan
Contributed to:
2015
2014
20142013201220112010Wrote 8 papers:
- PODS-2015-Ullman #linear #multi #query
- Private Multiplicative Weights Beyond Linear Queries (JU), pp. 303–312.
- ICALP-v1-2014-HsuRRU #linear #source code
- Privately Solving Linear Programs (JH, AR, TR, JU), pp. 612–624.
- STOC-2014-BunUV #approximate #difference #privacy
- Fingerprinting codes and the price of approximate differential privacy (MB, JU, SPV), pp. 1–10.
- STOC-2013-HsuRU #difference #equilibrium #privacy
- Differential privacy for the analyst via private equilibrium computation (JH, AR, JU), pp. 341–350.
- STOC-2013-Ullman #difference #privacy #query
- Answering n{2+o(1)} counting queries with differential privacy is hard (JU), pp. 361–370.
- ICALP-v1-2012-ThalerUV #algorithm #performance
- Faster Algorithms for Privately Releasing Marginals (JT, JU, SPV), pp. 810–821.
- STOC-2011-GuptaHRU #query #statistics
- Privately releasing conjunctions and the statistical query barrier (AG, MH, AR, JU), pp. 803–812.
- STOC-2010-KasiviswanathanRSU #correlation #matrix #random
- The price of privately releasing contingency tables and the spectra of random matrices with correlated rows (SPK, MR, AS, JU), pp. 775–784.