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
Some recent publications
Learning and inference
  1. T. Hazan, F. Orabona, A.D. Sarwate, S. Maji, T. Jaakkola, High Dimensional Inference with Random Maximum A-Posteriori Perturbations, IEEE Transactions on Information Theory 65: to appear 2019. [BibTeX entry] [Local/OA version]
  2. K. Nikolakakis, D. Kalogerias, A.D. Sarwate, Learning Tree Structures from Noisy Data, Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, 16--18 April 2019. [BibTeX entry] [Local/OA version]
  3. M. Ghassemi, Z. Shakeri, A.D. Sarwate, W.U. Bajwa, Learning Mixtures of Separable Dictionaries for Tensor Data: Analysis and Algorithms, ArXiV report number arXiv:1903.09284 [cs.LG], March, 2019. [BibTeX entry]
  4. Z. Shakeri, A.D. Sarwate, W.U. Bajwa, Identifiability of Kronecker-Structured Dictionaries for Tensor Data, IEEE Journal of Selected Topics in Signal Processing 12(5): pp. 1047--1062, October 2018. [BibTeX entry] [Local/OA version]
  5. A. Lalitha, T. Javidi, A.D. Sarwate, Social Learning and Distributed Hypothesis Testing, IEEE Transactions on Information Theory 64(9): pp. 6161--6179, September 2018. [BibTeX entry] [Local/OA version]
  6. 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. [BibTeX entry] [Local/OA version]
Privacy
  1. H. Imtiaz, J. Mohammadi, A.D. Sarwate, Distributed Differentially Private Computation of Functions with Correlated Noise, ArXiV report number arXiv:1904.10059 [cs.LG], April, 2019. [BibTeX entry]
  2. H. Imtiaz, A.D. Sarwate, Distributed Differentially-Private Algorithms for Matrix and Tensor Factorization, IEEE Journal of Selected Topics in Signal Processing 12(6): pp. 1449--1464, December 2018. [BibTeX entry] [Local/OA version]
  3. K. Kalantari, L. Sankar, A.D. Sarwate, Robust Privacy-Utility Tradeoffs under Differential Privacy and Hamming Distortion, IEEE Transactions on Information Forensics and Security 13(11): pp. 2816--2830, November 2018. [BibTeX entry] [Local/OA version]
  4. 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), June 2018. [BibTeX entry]
  5. 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]
Information Theory
  1. G.R. Kurri, V.M. Prabhakaran, A.D. Sarwate, Coordination Using Individually Shared Randomness, Proceedings of the 2018 IEEE International Symposium on Information Theory (ISIT 2018), 17-22 June 2018. [BibTeX entry]
  2. T. Li, B.K. Dey, S. Jaggi, M. Langberg, A.D. Sarwate, Quadratically Constrained Channels with Causal Adversaries, Proceedings of the 2018 IEEE International Symposium on Information Theory (ISIT 2018), 17-22 June 2018. [BibTeX entry]
  3. Y. Zhang, S. Vatedka, S. Jaggi, A.D. Sarwate, Quadratically Constrained Myopic Adversarial Channels, Proceedings of the 2018 IEEE International Symposium on Information Theory (ISIT 2018), 17-22 June 2018. [BibTeX entry]
Support
Some of my research is (and has been) generously supported by federal agencies and corporations. 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)
[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)
[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)