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Kasiviswanathan, Shiva Prasad
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1

Private Incremental Regression:

, In: Proceedings of the 36th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems,
Kasiviswanathan, Shiva Prasad ; Nissim, Kobbi ; Jin, Hongxia - p. 167-182 , 2017
Link: https://dl.acm.org/doi/1..
 
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2

Unsupervised Feature Selection on Data Streams:

, In: Proceedings of the 24th ACM International on Conference on Information and Knowledge Management,
Huang, Hao ; Yoo, Shinjae ; Kasiviswanathan, Shiva Prasad - p. 1031-1040 , 2015
Link: https://dl.acm.org/doi/1..
 
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3

Streaming anomaly detection using randomized matrix sketchi..:

Huang, Hao ; Kasiviswanathan, Shiva Prasad
Proceedings of the VLDB Endowment.  9 (2015)  3 - p. 192-203 , 2015
Link: https://doi.org/10.14778..
 
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4

Streaming anomaly detection using randomized matrix sketchi..:

Huang, Hao ; Kasiviswanathan, Shiva Prasad
Proceedings of the VLDB Endowment.  9 (2015)  3 - p. 192-203 , 2015
Link: https://dl.acm.org/doi/1..
 
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5

Approximately Counting Embeddings into Random Graphs:

FÜRER, MARTIN ; KASIVISWANATHAN, SHIVA PRASAD
Combinatorics, Probability and Computing.  23 (2014)  6 - p. 1028-1056 , 2014
Link: https://doi.org/10.1017/..
 
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6

Bounds on the sample complexity for private learning and pr..:

Beimel, Amos ; Brenner, Hai ; Kasiviswanathan, Shiva Prasad.
Machine Learning.  94 (2013)  3 - p. 401-437 , 2013
Link: https://doi.org/10.1007/..
 
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7

An exponential time 2-approximation algorithm for bandwidth:

Fürer, Martin ; Gaspers, Serge ; Kasiviswanathan, Shiva Prasad
Theoretical Computer Science.  511 (2013)  - p. 23-31 , 2013
Link: https://doi.org/10.1016/..
 
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8

The power of linear reconstruction attacks:

, In: Proceedings of the twenty-fourth annual ACM-SIAM symposium on Discrete algorithms,
Kasiviswanathan, Shiva Prasad ; Rudelson, Mark ; Smith, Adam - p. 1415-1433 , 2013
Link: https://dl.acm.org/doi/1..
 
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9

Emerging topic detection using dictionary learning:

, In: Proceedings of the 20th ACM international conference on Information and knowledge management,
Kasiviswanathan, Shiva Prasad ; Melville, Prem ; Banerjee, Arindam. - p. 745-754 , 2011
Link: https://dl.acm.org/doi/1..
 
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10

What Can We Learn Privately?:

Kasiviswanathan, Shiva Prasad ; Lee, Homin K. ; Nissim, Kobbi..
SIAM Journal on Computing.  40 (2011)  3 - p. 793-826 , 2011
Link: https://doi.org/10.1137/..
 
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11

The rigidity transition in random graphs:

, In: Proceedings of the twenty-second annual ACM-SIAM symposium on Discrete algorithms,
Kasiviswanathan, Shiva Prasad ; Moore, Cristopher ; Theran, Louis - p. 1237-1252 , 2011
Link: https://dl.acm.org/doi/1..
 
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12

Explicit Spatial Scattering for Load Balancing in Conservat..:

, In: Proceedings of the 2010 IEEE Workshop on Principles of Advanced and Distributed Simulation,
Thulasidasan, Sunil ; Kasiviswanathan, Shiva Prasad ; Eidenbenz, Stephan. - p. 150-158 , 2010
Link: https://dl.acm.org/doi/1..
 
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13

The price of privately releasing contingency tables and the..:

, In: Proceedings of the forty-second ACM symposium on Theory of computing,
Kasiviswanathan, Shiva Prasad ; Rudelson, Mark ; Smith, Adam. - p. 775-784 , 2010
Link: https://dl.acm.org/doi/1..
 
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14

Composition attacks and auxiliary information in data priva..:

, In: Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining,
Ganta, Srivatsava Ranjit ; Kasiviswanathan, Shiva Prasad ; Smith, Adam - p. 265-273 , 2008
Link: https://dl.acm.org/doi/1..
 
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15

Packing to angles and sectors:

, In: Proceedings of the nineteenth annual ACM symposium on Parallel algorithms and architectures,
Berman, Piotr ; Jeong, Jieun ; Kasiviswanathan, Shiva Prasad. - p. 171-180 , 2007
Link: https://dl.acm.org/doi/1..
 
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