Shiva Prasad Kasiviswanathan

ScholarGPS® ID: 27017878927290

Affiliation

Samsung, Seoul, South Korea

Affiliation History

Field

Engineering and Computer Science

Discipline

Computer Science

Top Specialties

Privacy | Wireless | Wireless Network | Antenna (radio) | Combinatorial Optimization

Metrics Summary

Publication Count

Predicted Citations

2,959

Predicted h-index

Ranking

Publications and Citation History

Publications based on Top Specialties

Types of Publication

Publications
Books
Patents
NIH/NSF

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Private Release of Text Embedding Vectors (conference) Feyisetan, Oluwaseyi \| Kasiviswanathan, Shiva Proceedings of the First Workshop on Trustworthy Natural Language Processing (2021) Online 10.18653/v1/2021.trustnlp-1.3 Cited by (3) \| Cite \| Source
Subsampled Rényi Differential Privacy and Analytical Moments Accountant (journal article) Wang, Yu-Xiang \| Balle, Borja \| Kasiviswanathan, Shiva Journal of Privacy and Confidentiality, volume 10, issue 2 (2020). 10.29012/jpc.723 Cited by (28) \| Cite \| Source
Systems and methods for data loss prevention (patent) Kasiviswanathan, Shiva Prasad \| Wu, Lei \| Marthaler, Daniel Edward \| Evans, Scott Charles \| Powles, Varian Paul \| Beauchamp, Philip Paul Patent Number: 10346616 (2019) Cite \| Source
Network Approximation using Tensor Sketching (conference) Kasiviswanathan, Shiva Prasad \| Narodytska, Nina \| Jin, Hongxia Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18} (2018) Stockholm, Sweden 10.24963/ijcai.2018/321 Cited by (10) \| Cite \| Source \| Open Access
Simple Black-Box Adversarial Attacks on Deep Neural Networks (conference) Narodytska, Nina \| Kasiviswanathan, Shiva 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2017) Honolulu, HI, USA 10.1109/CVPRW.2017.172 Cited by (206) \| Cite \| Source
Private Incremental Regression (conference) Kasiviswanathan, Shiva Prasad \| Nissim, Kobbi \| Jin, Hongxia SIGMOD/PODS'17: International Conference on Management of Data (2017) Chicago Illinois USA 10.1145/3034786.3034795 Cited by (7) \| Cite \| Source \| Open Access
Private spatial data aggregation in the local setting (conference) Chen, Rui \| Li, Haoran \| Qin, A. K. \| Kasiviswanathan, Shiva Prasad \| Jin, Hongxia 2016 IEEE 32nd International Conference on Data Engineering (ICDE) (2016) Helsinki, Finland 10.1109/ICDE.2016.7498248 Cited by (120) \| Cite \| Source
Streaming spectral clustering (conference) Yoo, Shinjae \| Huang, Hao \| Kasiviswanathan, Shiva Prasad 2016 IEEE 32nd International Conference on Data Engineering (ICDE) (2016) Helsinki, Finland 10.1109/ICDE.2016.7498277 Cited by (15) \| Cite \| Source
Streaming anomaly detection using randomized matrix sketching (journal article) Huang, Hao \| Kasiviswanathan, Shiva Prasad Proceedings of the VLDB Endowment, volume 9, issue 3, pages 192-203 (2015). 10.14778/2850583.2850593 Cited by (29) \| Cite \| Source
Unsupervised Feature Selection on Data Streams (conference) Huang, Hao \| Yoo, Shinjae \| Kasiviswanathan, Shiva Prasad CIKM'15: 24th ACM International Conference on Information and Knowledge Management (2015) Melbourne Australia 10.1145/2806416.2806521 Cited by (32) \| Cite \| Source \| Open Access
Online Dictionary Learning on Symmetric Positive Definite Manifolds with Vision Applications (journal article) Zhang, Shengping \| Kasiviswanathan, Shiva \| Yuen, Pong \| Harandi, Mehrtash Proceedings of the AAAI Conference on Artificial Intelligence, volume 29, issue 1 (2015). 10.1609/aaai.v29i1.9595 Cited by (12) \| Cite \| Source
Spectral Norm of Random Kernel Matrices with Applications to Privacy (conference) Kasiviswanathan, Shiva Prasad \| Rudelson, Mark International Workshop and International Workshop on Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (2015) 10.4230/LIPIcs.APPROX-RANDOM.2015.898 Cited by (5) \| Cite \| Source
Inferring emerging and evolving topics in streaming text (patent) Ankan, Saha \| Banerjee, Arindam \| Kasiviswanathan, Shiva P. \| Lawrence, Richard D. \| Melville, Prem \| Sindhwani, Vikas \| Ting, Edison L. Patent Number: 8909643 (2014) Cited by (8) \| Cite \| Source
Approximately Counting Embeddings into Random Graphs (journal article) FÜRER, Martin \| Kasiviswanathan, Shiva Prasad Combinatorics, Probability and Computing, volume 23, issue 6, pages 1028-1056 (2014). 10.1017/S0963548314000339 Cited by (3) \| Cite \| Source \| Open Access
On the 'Semantics' of Differential Privacy: A Bayesian Formulation (journal article) Kasiviswanathan, Shiva P. \| Smith, Adam Journal of Privacy and Confidentiality, volume 6, issue 1 (2014). 10.29012/jpc.v6i1.634 Cited by (67) \| Cite \| Source \| Open Access
Bounds on the sample complexity for private learning and private data release (journal article) Beimel, Amos \| Brenner, Hai \| Kasiviswanathan, Shiva Prasad \| Nissim, Kobbi Machine Learning (2014). 10.1007/s10994-013-5404-1 Cited by (38) \| Cite \| Source \| Open Access
An exponential time 2-approximation algorithm for bandwidth (journal article) Fürer, Martin \| Gaspers, Serge \| Kasiviswanathan, Shiva Prasad Theoretical Computer Science, volume 511 (2013). 10.1016/j.tcs.2013.03.024 Cited by (8) \| Cite \| Source \| Open Access
Novel document detection for massive data streams using distributed dictionary learning (journal article) Kasiviswanathan, S. P. \| Cong, G. \| Melville, P. \| Lawrence, R. D. IBM Journal of Research and Development, volume 57, issue 3/4, pages 9:1-9:15 (2013). 10.1147/JRD.2013.2247232 Cited by (6) \| Cite \| Source
Fast online L<inf>1</inf>-dictionary learning algorithms for novel document detection (conference) Kasiviswanathan, Shiva Prasad ICASSP 2013 - 2013 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2013) Vancouver, BC, Canada 10.1109/ICASSP.2013.6639341 Cited by (7) \| Cite \| Source \| Open Access
The Power of Linear Reconstruction Attacks (conference) Kasiviswanathan, Shiva Prasad \| Rudelson, Mark \| Smith, Adam Proceedings of the Twenty-Fourth Annual ACM-SIAM Symposium on Discrete Algorithms (2013) 10.1137/1.9781611973105.102 Cited by (17) \| Cite \| Source \| Open Access