Research
Preprints
S. Bulusu, V. Gandikota, A. Grootveld, G. Joseph, and P.K. Varshney, 1-Bit Compressed Sensing with Adversarial Noise, (under review).
P. Khanduri, P. Sharma, S. Kafle, S. Bulusu, K. Rajawat, and P.K. Varshney, Distributed Stochastic Non-Convex Optimization: Momentum-Based Variance Reduction, arXiv 2020.
P. Sharma, S. Kafle, P. Khanduri, S. Bulusu, K. Rajawat, and P.K. Varshney, Parallel Restarted SPIDER - Communication Efficient Distributed Nonconvex Optimization with Optimal Computation Complexity, arXiv 2019.
Journals
C. Quan, S. Bulusu, B. Geng, and P.K. Varshney, Ordered Transmission-based Detection in Distributed Networks in the Presence of Byzantines, IEEE Transactions on Signal Processing, 2023.
S. Bulusu, P. Khanduri, S. Kafle, P. Sharma, and P.K. Varshney, Byzatine Resilient Non-convex SCSG with Distributed Batch Gradient Computations, vol. 7, pp. 754-766, IEEE Trans. Signal Inf. Process. Netw., 2021.
S. Bulusu, B. Kailkhura, B. Li, P.K. Varshney, and D. Song, Anomalous Example Detection in Deep Learning: A Survey, vol. 8, pp. 132330-132347, IEEE Access, 2020.
S. Bulusu, N.B. Mehta, and S. Kalyanasudaram, Rate Adaptation, Scheduling, and Mode Selection in D2D Systems with Partial Channel Knowledge, vol. 17, pp. 1053-1065, IEEE Trans Wireless Comm., 2018.
Conferences
S. Bulusu, V. Gandikota, and P.K. Varshney, 1-Bit Compressed Sensing with Local Sparsity Patterns, ISIT 2023.
S. Bulusu*, G. Joseph*, M.C. Gursoy, and P.K. Varshney, Learning Distributions Generated by Single-Layer ReLU Networks in the Presence of Arbitrary Outliers, NeurIPS 2022 (Equal Contribution).
S. Bulusu, V. Gandikota, A. Mazumdar, A.S. Rawat, and P.K. Varshney, Byzantine Resilient Distributed Clustering with Redundant Data Assignment, ISIT 2021.
S. Bulusu, P. Khanduri, P. Sharma, and P.K. Varshney, On Distributed Stochastic Gradient Descent for Nonconvex Functions in the Presence of Byzantines, ICASSP 2020.
P. Khanduri, S. Bulusu, P. Sharma, and P.K. Varshney, Byzantine Resilient Non-Convex SVRG with Distributed Batch Gradient Computations, OPT 2019.
S. Bulusu, Q. Li, and P.K. Varshney, On Convex Stochastic Variance Reduced Gradient for Adversarial Machine Learning, GlobalSIP 2019.
P.S. Kumar, S. Bulusu, A.P. Kannu, and S. Bhashyam, Algorithms for Change Detection with Unknown Number of Affected Sensors, NCC 2013.