Anand D. Sarwate
A. Walter Tyson Assistant Professor
Department of Electrical and Computer Engineering
Rutgers, The State University of New Jersey

Associate Member, Dept. of Statistics
Associate Member, Dept. of Computer Science
Associate Member, WINLAB
Affiliate Member, DIMACS

CoRE Building Rm. 517
Phone: +1-848-445-8516
Email: anand.sarwate@rutgers.edu

Office Hours (Fall 2017):
Monday 10-11 (CoRE 503)
Wednesday 11-12 (CoRE 503)
Recent news
  • I have been named the A. Walter Tyson Assistant Professor for 2018.
  • Conference paper to appear June 2018:

    D. Bittner, A. Sarwate, R. Wright, "Using Noisy Binary Search for Differentially Private Anomaly Detection", 2nd International Symposium on Cyber Security Cryptography and Machine Learning (CSCML 2018)
  • Journal papers accepted or in press!
    K. Kalantari, A. D. Sarwate, L. Sankar, Robust Privacy-Utility Tradeoffs under Differential Privacy and Hamming Distortion, IEEE Transactions on Information Forensics and Security : to appear 2018.
    A. Lalitha, T. Javidi, A. Sarwate, Social Learning and Distributed Hypothesis Testing, IEEE Transactions on Information Theory : to appear 2018.

    Z. Shakeri, A. D. Sarwate, W. U. Bajwa, Identifiability of Kronecker-structured Dictionaries for Tensor Data, IEEE Journal of Selected Topics in Signal Processing : to appear 2018.

    Z. Shakeri, W. U. Bajwa, A. D. Sarwate, Minimax Lower Bounds on Dictionary Learning for Tensor Data, IEEE Transactions on Information Theory 64(4): pp. 2706--2726, April 2018.
  • Papers accepted to ISIT 2018!

    Gowtham R. Kurri, Vinod M. Prabhakaran, Anand D. Sarwate, Coordination Using Individually Shared Randomness

    Tongxin Li, Bikash K. Dey, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate, Quadratically Constrained Channels with Causal Adversaries

    Yihan Zhang, Shashank Vatedka, Sidharth Jaggi, Anand Sarwate, Quadratically Constrained Myopic Adversarial Channels
  • Papers to appear at ICASSP 2018:

    M. Ghassemi, N. Goela, A. D. Sarwate, Global Optimality in Inductive Matrix Completion

    H. Imtiaz, A. D. Sarwate, Differentially Private Distributed Principal Component Analysis

    H. Imtiaz, A. D. Sarwate, Improved Algorithms for Differentially Private Orthogonal Tensor Decomposition

    S. Xiong, A. D. Sarwate, N.B. Mandayam, Defending Against Packet-Size Side-Channel Attacks in IoT Networks
  • New ArXiV paper:
    Mohsen Ghassemi, Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa, STARK: Structured Dictionary Learning Through Rank-one Tensor Recovery.
  • Kamalika Chaudhuri and I just gave a tutorial at NIPS 2017 on Differentially Private Machine Learning: Theory, Algorithms, and Applications. The tutorial site will have a full reference list soon.
Some recent publications
Distributed learning and optimization
  1. A. Lalitha, T. Javidi, A.D. Sarwate, Social Learning and Distributed Hypothesis Testing, IEEE Transactions on Information Theory : to appear 2018. [BibTeX entry]
  2. A. Bijral, A.D. Sarwate, N. Srebro, Data Dependent Convergence For Consensus Stochastic Optimization, IEEE Transactions on Automatic Control 62(9): pp. 4483--4498, September 2017. [BibTeX entry]
  3. M. Ghassemi, A.D. Sarwate, Distributed Proportional Stochastic Coordinate Descent with Social Sampling, Proceedings of the 53rd Annual Allerton Conference on Communication, Control, and Computing, pp. 17--24, October 2015. [BibTeX entry]
  4. A.D. Sarwate, T. Javidi, Distributed Learning of Distributions via Social Sampling, IEEE Transactions on Automatic Control 60(1): pp. 34--45, January 2015. [BibTeX entry] [Local/OA version]
Privacy
  1. D. Bittner, A.D. Sarwate, R. Wright, Using Noisy Binary Search for Differentially Private Anomaly Detection, Proceedings of the 2nd International Symposium on Cyber Security Cryptography and Machine Learning (CSCML 2018), jun 2018. [BibTeX entry]
  2. H. Imtiaz, A.D. Sarwate, Differentially Private Distributed Principal Component Analysis, Proceedings of the 43rd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2018), April 2018. [BibTeX entry]
  3. H. Imtiaz, A.D. Sarwate, Improved Algorithms for Differentially Private Orthogonal Tensor Decomposition, Proceedings of the 43rd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2018), April 2018. [BibTeX entry]
  4. S. Xiong, A.D. Sarwate, N.B. Mandayam, Defending Against Packet-Size Side-Channel Attacks in IoT Networks, Proceedings of the 43rd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2018), April 2018. [BibTeX entry]
  5. M. Ghassemi, A.D. Sarwate, R. Wright, Differentially Private Online Active Learning with Applications to Anomaly Detection, Proceedings of the 9th ACM Workshop on Artificial Intelligence and Security, pp. 117--128, October 2016. [BibTeX entry]
  6. C. Huang, L. Sankar, A.D. Sarwate, Designing Incentive Schemes For Privacy-Sensitive Users, Journal of Privacy and Confidentiality 7(1): pp. 99--127, March 2016. [BibTeX entry]
  7. A.D. Sarwate, S.M. Plis, J.A. Turner, M.R. Arbabshirani, V.D. Calhoun, Sharing privacy-sensitive access to neuroimaging and genetics data: a review and preliminary validation, Frontiers in Neuroinformatics 8(35): 2014. [BibTeX entry] [Local/OA version]
  8. K. Chaudhuri, A.D. Sarwate, K. Sinha, A Near-Optimal Algorithm for Differentially-Private Principal Components, Journal of Machine Learning Research 14: pp. 2905--2943, September 2013. [BibTeX entry] [Local/OA version]
Machine learning
  1. M. Ghassemi, Z. Shakeri, A.D. Sarwate, W.U. Bajwa, STARK: Structured Dictionary Learning Through Rank-one Tensor Recovery, ArXiV report number arXiv:1711.04887 [stat.ML], November, 2017. [BibTeX entry]
  2. M. Ghassemi, N. Goela, A.D. Sarwate, Global Optimality in Inductive Matrix Completion, Proceedings of the 43rd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2018), April 2018. [BibTeX entry]
  3. Z. Shakeri, A.D. Sarwate, W.U. Bajwa, Identifiability of Kronecker-structured Dictionaries for Tensor Data, ArXiV report number arXiv:1712.03471 [stat.ML], December, 2017. [BibTeX entry]
  4. T. Hazan, F. Orabona, A.D. Sarwate, S. Maji, T. Jaakkola, High Dimensional Inference with Random Maximum A-Posteriori Perturbations, ArXiV report number arXiv:1602.03571 [cs.LG], February, 2016. [BibTeX entry]
  5. S. Song, K. Chaudhuri, A.D. Sarwate, Learning from Data with Heterogeneous Noise using SGD, ArXiV report number arXiv:1412.5617 [cs.LG], December, 2014. [BibTeX entry]
Information Theory
  1. G.R. Kurri, V.M. Prabhakaran, A.D. Sarwate, Coordination Using Individually Shared Randomness, ArXiV report number arXiv:1805.03193 [cs.IT], may, 2018. [BibTeX entry]
  2. Y. Zhang, S. Vatedka, S. Jaggi, A. Sarwate, Quadratically Constrained Myopic Adversarial Channels, ArXiV report number arXiv:1801.05951 [cs.IT], January, 2018. [BibTeX entry]
  3. Z. Shakeri, A.D. Sarwate, W.U. Bajwa, Identifiability of Kronecker-structured Dictionaries for Tensor Data, IEEE Journal of Selected Topics in Signal Processing : to appear 2018. [BibTeX entry]
  4. Z. Shakeri, W.U. Bajwa, A.D. Sarwate, Minimax Lower Bounds on Dictionary Learning for Tensor Data, ArXiV report number arXiv:1608.02792 [cs.IT], August, 2016. [BibTeX entry]
  5. B.K. Dey, S. Jaggi, M. Langberg, A.D. Sarwate, The benefit of a 1-bit jump-start, and the necessity of stochastic encoding, in jamming channels, ArXiV report number arXiv:1602.02384 [cs.IT], February, 2016. [BibTeX entry]
Support
Some of my research is supported by grants from generous agencies. Many thanks to them!
[NSF] SaTC-1617849: TWC: Small: PERMIT: Privacy-Enabled Resource Management for IoT Networks (PI: Anand D. Sarwate, Co-PI: Narayan B. Mandayam)
[Verisign] gift through DIMACS Center to work on applied and theoretical privacy (PIs: Rebecca Wright, Anand D. Sarwate)
[DHS] through CCICADA Center: DPAD: Differentially Private Anomaly Detection (PIs: Rebecca Wright, Anand D. Sarwate)
[DARPA] Brandeis, subcontract with Galois, Inc.: Jana: Ensuring Secure, Private and Flexible Data Access (PI: David Archer (Galois) -- subaward to Rutgers: Rebecca Wright (PI), Co-PIs: Anand D. Sarwate, David Cash)
[NSF] CCF-1525276: CIF: Small: Active data screening for efficient feature learning (PI: Waheed Bajwa, Co-PI: Anand D. Sarwate)
[NIH] 1R01DA040487-01A1: COINSTAC: Decentralized, Scalable Analysis of Loosely Coupled Data (PI: Vince Calhoun (MRN) -- subaward to Rutgers: Anand D. Sarwate (PI))
[NSF] CCF-1453432 CAREER: Privacy-preserving learning for distributed data (PI: Anand D. Sarwate)
[NSF] CCF-1218331/CCF-1440033: CIF: Small: Collaborative Research: Inference by social sampling (PI: Anand Sarwate)