Sanjeev R. Kulkarni

ORCID

Publication Activity (10 Years)

Years Active: 1992-2024
Publications (10 Years): 42

Top Venues

CoRR

ICDE

IEEE Trans. Wirel. Commun.

FUSION

Massachusetts Institute of Technology, Cambridge, MA, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, MA, USA

PHD

Publications

Arman Adibi, Nicolò Dal Fabbro, Luca Schenato, Sanjeev R. Kulkarni, H. Vincent Poor, George J. Pappas, Hamed Hassani, Aritra Mitra
Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling. CoRR (2024)
Soham Jana, Kun Yang, Sanjeev R. Kulkarni
Adversarially robust clustering with optimality guarantees. CoRR (2023)
Viraj Nadkarni, Jiachen Hu, Ranvir Rana, Chi Jin, Sanjeev R. Kulkarni, Pramod Viswanath
ZeroSwap: Data-driven Optimal Market Making in DeFi. CoRR (2023)
Zhixu Tao, Kun Yang, Sanjeev R. Kulkarni
Byzantine-Robust Clustered Federated Learning. CoRR (2023)
Pengcheng Fang, Peng Gao, Yun Peng, Qingzhao Zhang, Tao Xie, Dawn Song, Prateek Mittal, Sanjeev R. Kulkarni, Zhuotao Liu, Xusheng Xiao
CONTRACTFIX: A Framework for Automatically Fixing Vulnerabilities in Smart Contracts. CoRR (2023)
Kun Yang, Mohammad Mohammadi Amiri, Sanjeev R. Kulkarni
Greedy Centroid Initialization for Federated K-means. CISS (2023)
Mohammad Mohammadi Amiri, Deniz Gündüz, Sanjeev R. Kulkarni, H. Vincent Poor
Convergence of Federated Learning Over a Noisy Downlink. IEEE Trans. Wirel. Commun. 21 (3) (2022)
Peng Gao, Fei Shao, Xiaoyuan Liu, Xusheng Xiao, Haoyuan Liu, Zheng Qin, Fengyuan Xu, Prateek Mittal, Sanjeev R. Kulkarni, Dawn Song
A System for Efficiently Hunting for Cyber Threats in Computer Systems Using Threat Intelligence. ICDE (2021)
Mohammad Mohammadi Amiri, Sanjeev R. Kulkarni, H. Vincent Poor
Federated Learning with Downlink Device Selection. CoRR (2021)
Mohammad Mohammadi Amiri, Deniz Gündüz, Sanjeev R. Kulkarni, H. Vincent Poor
Convergence of Update Aware Device Scheduling for Federated Learning at the Wireless Edge. IEEE Trans. Wirel. Commun. 20 (6) (2021)
Mohammad Mohammadi Amiri, Sanjeev R. Kulkarni, H. Vincent Poor
Federated Learning with Downlink Device Selection. SPAWC (2021)
Mohammad Mohammadi Amiri, Tolga M. Duman, Deniz Gündüz, Sanjeev R. Kulkarni, H. Vincent Poor
Blind Federated Edge Learning. IEEE Trans. Wirel. Commun. 20 (8) (2021)
Peng Gao, Fei Shao, Xiaoyuan Liu, Xusheng Xiao, Haoyuan Liu, Zheng Qin, Fengyuan Xu, Prateek Mittal, Sanjeev R. Kulkarni, Dawn Song
A System for Efficiently Hunting for Cyber Threats in Computer Systems Using Threat Intelligence. CoRR (2021)
Peng Gao, Fei Shao, Xiaoyuan Liu, Xusheng Xiao, Zheng Qin, Fengyuan Xu, Prateek Mittal, Sanjeev R. Kulkarni, Dawn Song
Enabling Efficient Cyber Threat Hunting With Cyber Threat Intelligence. ICDE (2021)
Peng Gao, Fei Shao, Xiaoyuan Liu, Xusheng Xiao, Zheng Qin, Fengyuan Xu, Prateek Mittal, Sanjeev R. Kulkarni, Dawn Song
Enabling Efficient Cyber Threat Hunting With Cyber Threat Intelligence. CoRR (2020)
Mohammad Mohammadi Amiri, Deniz Gündüz, Sanjeev R. Kulkarni, H. Vincent Poor
Federated Learning With Quantized Global Model Updates. CoRR (2020)
Peng Gao, Xusheng Xiao, Ding Li, Kangkook Jee, Haifeng Chen, Sanjeev R. Kulkarni, Prateek Mittal
Querying Streaming System Monitoring Data for Enterprise System Anomaly Detection. ICDE (2020)
Mohammad Mohammadi Amiri, Deniz Gündüz, Sanjeev R. Kulkarni, H. Vincent Poor
Update Aware Device Scheduling for Federated Learning at the Wireless Edge. CoRR (2020)
Emmanuel Abbe, Sanjeev R. Kulkarni, Eun Jee Lee
Generalized Nonbacktracking Bounds on the Influence. J. Mach. Learn. Res. 21 (2020)
Mohammad Mohammadi Amiri, Deniz Gündüz, Sanjeev R. Kulkarni, H. Vincent Poor
Convergence of Federated Learning over a Noisy Downlink. CoRR (2020)
Mohammad Mohammadi Amiri, Tolga M. Duman, Deniz Gündüz, Sanjeev R. Kulkarni, H. Vincent Poor
Blind Federated Edge Learning. CoRR (2020)
Mohammad Mohammadi Amiri, Deniz Gündüz, Sanjeev R. Kulkarni, H. Vincent Poor
Update Aware Device Scheduling for Federated Learning at the Wireless Edge. ISIT (2020)
Peng Gao, Xusheng Xiao, Ding Li, Zhichun Li, Kangkook Jee, Zhenyu Wu, Chung Hwan Kim, Sanjeev R. Kulkarni, Prateek Mittal
A Stream-based Query System for Efficiently Detecting Abnormal System Behaviors for Enterprise Security. CoRR (2019)
Peng Gao, Xusheng Xiao, Zhichun Li, Kangkook Jee, Fengyuan Xu, Sanjeev R. Kulkarni, Prateek Mittal
A Query System for Efficiently Investigating Complex Attack Behaviors for Enterprise Security. Proc. VLDB Endow. 12 (12) (2019)
Peng Gao, Binghui Wang, Neil Zhenqiang Gong, Sanjeev R. Kulkarni, Kurt Thomas, Prateek Mittal
SybilFuse: Combining Local Attributes with Global Structure to Perform Robust Sybil Detection. CoRR (2018)
Peng Gao, Xusheng Xiao, Ding Li, Zhichun Li, Kangkook Jee, Zhenyu Wu, Chung Hwan Kim, Sanjeev R. Kulkarni, Prateek Mittal
SAQL: A Stream-based Query System for Real-Time Abnormal System Behavior Detection. CoRR (2018)
Peng Gao, Xusheng Xiao, Zhichun Li, Kangkook Jee, Fengyuan Xu, Sanjeev R. Kulkarni, Prateek Mittal
AIQL: Enabling Efficient Attack Investigation from System Monitoring Data. CoRR (2018)
Peng Gao, Xusheng Xiao, Zhichun Li, Fengyuan Xu, Sanjeev R. Kulkarni, Prateek Mittal
AIQL: Enabling Efficient Attack Investigation from System Monitoring Data. USENIX Annual Technical Conference (2018)
Peng Gao, Binghui Wang, Neil Zhenqiang Gong, Sanjeev R. Kulkarni, Kurt Thomas, Prateek Mittal
SYBILFUSE: Combining Local Attributes with Global Structure to Perform Robust Sybil Detection. CNS (2018)
Peng Gao, Xusheng Xiao, Ding Li, Zhichun Li, Kangkook Jee, Zhenyu Wu, Chung Hwan Kim, Sanjeev R. Kulkarni, Prateek Mittal
SAQL: A Stream-based Query System for Real-Time Abnormal System Behavior Detection. USENIX Security Symposium (2018)
Peng Gao, Xusheng Xiao, Zhichun Li, Kangkook Jee, Fengyuan Xu, Sanjeev R. Kulkarni, Prateek Mittal
A Query Tool for Efficiently Investigating Risky Software Behaviors. CoRR (2018)
Emmanuel Abbe, Sanjeev R. Kulkarni, Eun Jee Lee
Nonbacktracking Bounds on the Influence in Independent Cascade Models. NIPS (2017)
Emmanuel Abbe, Sanjeev R. Kulkarni, Eun Jee Lee
Nonbacktracking Bounds on the Influence in Independent Cascade Models. CoRR (2017)
Mete Ozay, Inaki Esnaola, Fatos Tünay Yarman Vural, Sanjeev R. Kulkarni, H. Vincent Poor
Machine Learning Methods for Attack Detection in the Smart Grid. IEEE Trans. Neural Networks Learn. Syst. 27 (8) (2016)
Eun Jee Lee, Sudeep Kamath, Emmanuel Abbe, Sanjeev R. Kulkarni
Spectral bounds for independent cascade model with sensitive edges. CISS (2016)
Aman Jain, Sanjeev R. Kulkarni, Sergio Verdú
Energy efficiency of wireless cooperation. Allerton (2016)
Peng Gao, Neil Zhenqiang Gong, Sanjeev R. Kulkarni, Kurt Thomas, Prateek Mittal
SybilFrame: A Defense-in-Depth Framework for Structure-Based Sybil Detection. CoRR (2015)
Pingmei Xu, Krista A. Ehinger, Yinda Zhang, Adam Finkelstein, Sanjeev R. Kulkarni, Jianxiong Xiao
TurkerGaze: Crowdsourcing Saliency with Webcam based Eye Tracking. CoRR (2015)
Mete Ozay, Fatos T. Yarman-Vural, Sanjeev R. Kulkarni, H. Vincent Poor
Fusion of Image Segmentation Algorithms using Consensus Clustering. CoRR (2015)
Mete Özay, Inaki Esnaola, Fatos T. Yarman-Vural, Sanjeev R. Kulkarni, H. Vincent Poor
Machine Learning Methods for Attack Detection in the Smart Grid. CoRR (2015)
Mete Ozay, Inaki Esnaola, Fatos T. Yarman-Vural, Sanjeev R. Kulkarni, H. Vincent Poor
Sparse Attack Construction and State Estimation in the Smart Grid: Centralized and Distributed Models. CoRR (2015)
Shang Shang, Paul Cuff, Pan Hui, Sanjeev R. Kulkarni
An Upper Bound on the Convergence Time for Quantized Consensus of Arbitrary Static Graphs. IEEE Trans. Autom. Control. 60 (4) (2015)
Shang Shang, Tiance Wang, Paul W. Cuff, Sanjeev R. Kulkarni
The Application of Differential Privacy for Rank Aggregation: Privacy and Accuracy. CoRR (2014)
Shang Shang, Yuk Hui, Pan Hui, Paul Cuff, Sanjeev R. Kulkarni
Beyond personalization and anonymity: towards a group-based recommender system. SAC (2014)
Shang Shang, Tiance Wang, Paul Cuff, Sanjeev R. Kulkarni
The application of differential privacy for rank aggregation: Privacy and accuracy. FUSION (2014)
Aurelie C. Lozano, Sanjeev R. Kulkarni, Robert E. Schapire
Convergence and Consistency of Regularized Boosting With Weakly Dependent Observations. IEEE Trans. Inf. Theory 60 (1) (2014)
Shang Shang, Paul W. Cuff, Pan Hui, Sanjeev R. Kulkarni
An Upper Bound on the Convergence Time for Quantized Consensus of Arbitrary Static Graphs. CoRR (2014)
Tiance Wang, Pan Hui, Sanjeev R. Kulkarni, Paul W. Cuff
Cooperative Caching based on File Popularity Ranking in Delay Tolerant Networks. CoRR (2014)
Zhuo Zhang, Pan Hui, Sanjeev R. Kulkarni, Christoph Peylo
Enabling an augmented reality ecosystem: a content-oriented survey. MARS@MobiSys (2014)
Zhuo Zhang, Sanjeev R. Kulkarni
Detection of shilling attacks in recommender systems via spectral clustering. FUSION (2014)
Shang Shang, Paul W. Cuff, Pan Hui, Sanjeev R. Kulkarni
An upper bound on the convergence time for quantized consensus. INFOCOM (2013)
Zhuo Zhang, Sanjeev R. Kulkarni
Graph-based detection of shilling attacks in recommender systems. MLSP (2013)
Mengjuan Liu, Zhuo Zhang, Pan Hui, Yujie Qin, Sanjeev R. Kulkarni
Measurement and understanding of cyberlocker URL-sharing sites: focus on movie files. ASONAM (2013)
Mete Ozay, Fatos T. Yarman-Vural, Sanjeev R. Kulkarni, H. Vincent Poor
Fusion of image segmentation algorithms using consensus clustering. ICIP (2013)
Shang Shang, Yuk Hui, Pan Hui, Paul W. Cuff, Sanjeev R. Kulkarni
Privacy Preserving Recommendation System Based on Groups CoRR (2013)
Jieqi Yu, Sanjeev R. Kulkarni, H. Vincent Poor
Dimension expansion and customized spring potentials for sensor localization. EURASIP J. Adv. Signal Process. 2013 (2013)
Jarmo Lundén, Sanjeev R. Kulkarni, Visa Koivunen, H. Vincent Poor
Multiagent Reinforcement Learning Based Spectrum Sensing Policies for Cognitive Radio Networks. IEEE J. Sel. Top. Signal Process. 7 (5) (2013)
Mete Ozay, Inaki Esnaola, Fatos T. Yarman-Vural, Sanjeev R. Kulkarni, H. Vincent Poor
Sparse Attack Construction and State Estimation in the Smart Grid: Centralized and Distributed Models. IEEE J. Sel. Areas Commun. 31 (7) (2013)
Zhuo Zhang, Shang Shang, Sanjeev R. Kulkarni, Pan Hui
Improving augmented reality using recommender systems. RecSys (2013)
Haipeng Zheng, Sanjeev R. Kulkarni, H. Vincent Poor
A sequential predictor retraining algorithm and its application to market prediction. Ann. Oper. Res. 208 (1) (2013)
Mete Ozay, Inaki Esnaola, Fatos T. Yarman-Vural, Sanjeev R. Kulkarni, H. Vincent Poor
Distributed models for sparse attack construction and state vector estimation in the smart grid. SmartGridComm (2012)
Shang Shang, Sanjeev R. Kulkarni, Paul W. Cuff, Pan Hui
A Random Walk Based Model Incorporating Social Information for Recommendations CoRR (2012)
Shang Shang, Paul W. Cuff, Sanjeev R. Kulkarni, Pan Hui
An upper bound on the convergence time for distributed binary consensus. FUSION (2012)
Shang Shang, Pan Hui, Sanjeev R. Kulkarni, Paul W. Cuff
Wisdom of the Crowd: Incorporating Social Influence in Recommendation Models CoRR (2012)
Dmitriy Shutin, Christoph Zechner, Sanjeev R. Kulkarni, H. Vincent Poor
Regularized Variational Bayesian Learning of Echo State Networks with Delay&Sum Readout. Neural Comput. 24 (4) (2012)
Ali N. Akansu, Sanjeev R. Kulkarni, Marco Avellaneda, Andrew R. Barron
Introduction to the Issue on Signal Processing Methods in Finance and Electronic Trading. IEEE J. Sel. Top. Signal Process. 6 (4) (2012)
Shang Shang, Sanjeev R. Kulkarni, Paul W. Cuff, Pan Hui
A randomwalk based model incorporating social information for recommendations. MLSP (2012)
Jieqi Yu, Sanjeev R. Kulkarni, H. Vincent Poor
Robust ellipse and spheroid fitting. Pattern Recognit. Lett. 33 (5) (2012)
Mete Ozay, Inaki Esnaola, Fatos T. Yarman-Vural, Sanjeev R. Kulkarni, H. Vincent Poor
Smarter security in the smart grid. SmartGridComm (2012)
Aman Jain, Deniz Gündüz, Sanjeev R. Kulkarni, H. Vincent Poor, Sergio Verdú
Energy-Distortion Tradeoffs in Gaussian Joint Source-Channel Coding Problems. IEEE Trans. Inf. Theory 58 (5) (2012)
Shang Shang, Paul W. Cuff, Sanjeev R. Kulkarni, Pan Hui
An Upper Bound on the Convergence Time for Distributed Binary Consensus CoRR (2012)
Shang Shang, Paul W. Cuff, Pan Hui, Sanjeev R. Kulkarni
An Upper Bound on the Convergence Time for Quantized Consensus CoRR (2012)
Tiance Wang, John Sturm, Paul W. Cuff, Sanjeev R. Kulkarni
Condorcet voting methods avoid the paradoxes of voting theory. Allerton Conference (2012)
Zhuo Zhang, Paul Cuff, Sanjeev R. Kulkarni
Iterative collaborative filtering for recommender systems with sparse data. MLSP (2012)
Dmitriy Shutin, Sanjeev R. Kulkarni, H. Vincent Poor
Incremental Reformulated Automatic Relevance Determination. IEEE Trans. Signal Process. 60 (9) (2012)
Shang Shang, Pan Hui, Sanjeev R. Kulkarni, Paul W. Cuff
Wisdom of the Crowd: Incorporating Social Influence in Recommendation Models. ICPADS (2011)
Yiyue Wu, Haipeng Zheng, A. Robert Calderbank, Sanjeev R. Kulkarni, H. Vincent Poor
On optimal precoding in wireless multicast systems. ICASSP (2011)
Jieqi Yu, Sanjeev R. Kulkarni, H. Vincent Poor
A distributed spring model algorithm for sensor localization using dimension expansion and hyperbolic tangential force. CAMSAP (2011)
Haipeng Zheng, Sanjeev R. Kulkarni, H. Vincent Poor
Consensus clustering: The Filtered Stochastic Best-One-Element-Move Algorithm. CISS (2011)
Guanchun Wang, Sanjeev R. Kulkarni, H. Vincent Poor, Daniel N. Osherson
Aggregating Large Sets of Probabilistic Forecasts by Weighted Coherent Adjustment. Decis. Anal. 8 (2) (2011)
Guanchun Wang, Sanjeev R. Kulkarni, H. Vincent Poor, Daniel N. Osherson
Improving aggregated forecasts of probability. CISS (2011)
Hamza Aftab, Nevin Raj, Paul W. Cuff, Sanjeev R. Kulkarni
Mutual information scheduling for ranking. FUSION (2011)
Dmitriy Shutin, Sanjeev R. Kulkarni, H. Vincent Poor
Stationary point variational Bayesian attribute-distributed sparse learning with ℓ1 sparsity constraints. CAMSAP (2011)
Dmitriy Shutin, Thomas Buchgraber, Sanjeev R. Kulkarni, H. Vincent Poor
Fast Variational Sparse Bayesian Learning With Automatic Relevance Determination for Superimposed Signals. IEEE Trans. Signal Process. 59 (12) (2011)
Dmitriy Shutin, Thomas Buchgraber, Sanjeev R. Kulkarni, H. Vincent Poor
Fast adaptive variational sparse Bayesian learning with automatic relevance determination. ICASSP (2011)
Jarmo Lundén, Visa Koivunen, Sanjeev R. Kulkarni, H. Vincent Poor
Exploiting spatial diversity in multiagent reinforcement learning based spectrum sensing. CAMSAP (2011)
Haipeng Zheng, Sanjeev R. Kulkarni, H. Vincent Poor
Attribute-Distributed Learning: Models, Limits, and Algorithms. IEEE Trans. Signal Process. 59 (1) (2011)
Aaron B. Wagner, Pramod Viswanath, Sanjeev R. Kulkarni
Probability Estimation in the Rare-Events Regime. IEEE Trans. Inf. Theory 57 (6) (2011)
Ilya Pollak, Marco Avellaneda, Emmanuel Bacry, Rama Cont, Sanjeev R. Kulkarni
Improving the Visibility of Financial Applications Among Signal Processing Researchers[From the Guest Editors]. IEEE Signal Process. Mag. 28 (5) (2011)
Aman Jain, Sanjeev R. Kulkarni, Sergio Verdú
Energy Efficiency of Decode-and-Forward for Wideband Wireless Multicasting. IEEE Trans. Inf. Theory 57 (12) (2011)
Aman Jain, Sanjeev R. Kulkarni, Sergio Verdú
Multicasting in Large Wireless Networks: Bounds on the Minimum Energy Per Bit. IEEE Trans. Inf. Theory 57 (1) (2011)
Aman Jain, Deniz Gündüz, Sanjeev R. Kulkarni, H. Vincent Poor, Sergio Verdú
Energy efficient lossy transmission over sensor networks with feedback. ICASSP (2010)
Fernando Pérez-Cruz, Sanjeev R. Kulkarni
Robust and Low Complexity Distributed Kernel Least Squares Learning in Sensor Networks. IEEE Signal Process. Lett. 17 (4) (2010)
Jieqi Yu, Haipeng Zheng, Sanjeev R. Kulkarni, H. Vincent Poor
Two-Stage Outlier Elimination for Robust Curve and Surface Fitting. EURASIP J. Adv. Signal Process. 2010 (2010)
Aman Jain, Deniz Gündüz, Sanjeev R. Kulkarni, H. Vincent Poor, Sergio Verdú
Energy-distortion tradeoff with multiple sources and feedback. ITA (2010)
Dmitriy Shutin, Haipeng Zheng, Bernard H. Fleury, Sanjeev R. Kulkarni, H. Vincent Poor
Space-alternating attribute-distributed sparse learning. CIP (2010)
Aman Jain, Sanjeev R. Kulkarni, Sergio Verdú
Minimum Energy per Bit for Wideband Wireless Multicasting: Performance of Decode-and-Forward. INFOCOM (2010)
Haipeng Zheng, Sanjeev R. Kulkarni, H. Vincent Poor
Agent selection for regression on attribute distributed data. ICASSP (2010)
Haipeng Zheng, Sanjeev R. Kulkarni, H. Vincent Poor
Attribute-distributed learning: The iterative covariance optimization algorithm and its applications. ACC (2010)
Haipeng Zheng, Sanjeev R. Kulkarni, H. Vincent Poor
Cooperative training for attribute-distributed data: Trade-off between data transmission and performance. FUSION (2009)

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Publication Activity (10 Years)

Top Topics

Top Venues

Sanjeev R. Kulkarni