Homomorphic proximity computation in geosocial networks. - Peizhao Hu; Tamalika Mukherjee; Alagu Valliappan; Stanislaw P. Radziszowski (INFOCOM Workshops, 2016)

Estimating Gaps in Martingales and Applications to Coin-Tossing: Constructions and Hardness. - Hamidreza Amini Khorasgani; Hemanta K. Maji; Tamalika Mukherjee (IACR Cryptol. ePrint Arch., 2019)

Lattice Reduction for Modules, or How to Reduce ModuleSVP to ModuleSVP. - Tamalika Mukherjee; Noah Stephens-Davidowitz (IACR Cryptol. ePrint Arch., 2019)

P4-free Partition and Cover Numbers. - Alexander R. Block; Simina Brânzei; Hemanta K. Maji; Himanshi K. Mehta; Tamalika Mukherjee; Hai H. Nguyen (IACR Cryptol. ePrint Arch., 2020)

P4-free Partition and Cover Numbers & Applications. - Alexander R. Block; Simina Brânzei; Hemanta K. Maji; Himanshi K. Mehta; Tamalika Mukherjee; Hai H. Nguyen (ITC, 2021)

Differentially-Private Sublinear-Time Clustering. - Jeremiah Blocki; Elena Grigorescu; Tamalika Mukherjee (ISIT, 2021)

Privately Estimating Graph Parameters in Sublinear Time. - Jeremiah Blocki; Elena Grigorescu; Tamalika Mukherjee (ICALP, 2022)

On computing Ollivier-Ricci curvatures of graphs: fine-grained reductions and local algorithms. - Bhaskar DasGupta; Elena Grigorescu; Tamalika Mukherjee (CoRR, 2022)

How to Make Your Approximation Algorithm Private: A Black-Box Differentially-Private Transformation for Tunable Approximation Algorithms of Functions with Low Sensitivity. - Jeremiah Blocki; Elena Grigorescu; Tamalika Mukherjee; Samson Zhou (APPROX/RANDOM, 2023)

Differentially Private $L_2$-Heavy Hitters in the Sliding Window Model. - Jeremiah Blocki; Seunghoon Lee 004; Tamalika Mukherjee; Samson Zhou (ICLR, 2023)

Differentially Private L2-Heavy Hitters in the Sliding Window Model. - Jeremiah Blocki; Seunghoon Lee 004; Tamalika Mukherjee; Samson Zhou (CoRR, 2023)

Differentially Private Clustering in Data Streams. - Alessandro Epasto; Tamalika Mukherjee; Peilin Zhong (CoRR, 2023)

On computing discretized Ricci curvatures of graphs: Local algorithms and (localized) fine-grained reductions. - Bhaskar DasGupta; Elena Grigorescu; Tamalika Mukherjee (Theor. Comput. Sci., 2023)

The Power of Graph Sparsification in the Continual Release Model. - Alessandro Epasto; Quanquan C. Liu; Tamalika Mukherjee; Felix Zhou 002 (CoRR, 2024)

Equitable differential privacy. - Vasundhara Kaul; Tamalika Mukherjee (Frontiers Big Data, 2024)

Differential Privacy and Sublinear Time Are Incompatible Sometimes. - Jeremiah Blocki; Hendrik Fichtenberger; Elena Grigorescu; Tamalika Mukherjee (ITCS, 2025)

Differentially Private Space-Efficient Algorithms for Counting Distinct Elements in the Turnstile Model. - Rachel Cummings; Alessandro Epasto; Jieming Mao; Tamalika Mukherjee; Tingting Ou; Peilin Zhong (CoRR, 2025)