Client-CASH: Protecting Master Passwords against Offline Attacks. - Jeremiah Blocki; Anirudh Sridhar (AsiaCCS, 2016)

Sequential Estimation of Network Cascades. - Anirudh Sridhar; H. Vincent Poor (ACSSC, 2020)

On Distributed Stochastic Gradient Algorithms for Global Optimization. - Brian Swenson; Anirudh Sridhar; H. Vincent Poor (ICASSP, 2020)

Correlated randomly growing graphs. - Miklós Z. Rácz; Anirudh Sridhar (CoRR, 2020)

Analysis of the Impact of Mask-wearing in Viral Spread: Implications for COVID-19. - Yurun Tian; Anirudh Sridhar; Osman Yagan; H. Vincent Poor (ACC, 2021)

Bayes-Optimal Methods for Finding the Source of a Cascade. - Anirudh Sridhar; H. Vincent Poor (ICASSP, 2021)

Leveraging A Multiple-Strain Model with Mutations in Analyzing the Spread of Covid-19. - Anirudh Sridhar; Osman Yagan; Rashad Eletreby; Simon A. Levin; Joshua B. Plotkin; H. Vincent Poor (ICASSP, 2021)

Correlated Stochastic Block Models: Exact Graph Matching with Applications to Recovering Communities. - Miklós Z. Rácz; Anirudh Sridhar (NeurIPS, 2021)

Mean-field Approximation for Stochastic Population Processes in Networks under Imperfect Information. - Anirudh Sridhar; Soummya Kar (CoRR, 2021)

On the Accuracy of Deterministic Models for Viral Spread on Networks. - Anirudh Sridhar; Soummya Kar (CoRR, 2021)

The Role of Masks in Mitigating Viral Spread on Networks. - Yurun Tian; Anirudh Sridhar; H. Vincent Poor; Osman Yagan (CoRR, 2021)

Exact Community Recovery in Correlated Stochastic Block Models. - Julia Gaudio; Miklós Z. Rácz; Anirudh Sridhar (COLT, 2022)

Spreading Processes with Mutations over Multi-layer Networks. - Mansi Sood; Anirudh Sridhar; Rashad Eletreby; Chai Wah Wu; Simon A. Levin; H. Vincent Poor; Osman Yagan (CoRR, 2022)

Local canonical labeling of Erdős-Rényi random graphs. - Julia Gaudio; Miklós Z. Rácz; Anirudh Sridhar (CoRR, 2022)

Recovering the Graph Underlying Networked Dynamical Systems under Partial Observability: A Deep Learning Approach. - Sergio Machado; Anirudh Sridhar; Paulo Gil; Jorge Henriques; José M. F. Moura; Augusto Santos (AAAI, 2023)

Matching Correlated Inhomogeneous Random Graphs using the k-core Estimator. - Miklós Z. Rácz; Anirudh Sridhar (ISIT, 2023)

Quickest Inference of Susceptible-Infected Cascades in Sparse Networks. - Anirudh Sridhar; Tirza Routtenberg; H. Vincent Poor (ISIT, 2023)

Quickest Inference of Network Cascades With Noisy Information. - Anirudh Sridhar; H. Vincent Poor (IEEE Trans. Inf. Theory, 2023)

Mean-Field Approximations for Stochastic Population Processes with Heterogeneous Interactions. - Anirudh Sridhar; Soummya Kar (SIAM J. Control. Optim., 2023)

Finding Super-spreaders in Network Cascades. - Elchanan Mossel; Anirudh Sridhar (COLT, 2024)