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Mahak Pancholi
Mahak Pancholi
Aarhus University
Verified email at cs.au.dk
Title
Cited by
Cited by
Year
{SWIFT}: Super-fast and robust {Privacy-Preserving} machine learning
N Koti, M Pancholi, A Patra, A Suresh
30th USENIX Security Symposium (USENIX Security 21), 2651-2668, 2021
1082021
Fiat–shamir bulletproofs are non-malleable (in the algebraic group model)
C Ganesh, C Orlandi, M Pancholi, A Takahashi, D Tschudi
Annual International Conference on the Theory and Applications of …, 2022
322022
Witness-succinct universally-composable snarks
C Ganesh, Y Kondi, C Orlandi, M Pancholi, A Takahashi, D Tschudi
Annual International Conference on the Theory and Applications of …, 2023
152023
Reverse firewalls for adaptively secure MPC without setup
S Chakraborty, C Ganesh, M Pancholi, P Sarkar
International Conference on the Theory and Application of Cryptology and …, 2021
72021
Fiat-shamir bulletproofs are non-malleable (in the random oracle model)
C Ganesh, C Orlandi, M Pancholi, A Takahashi, D Tschudi
Cryptology ePrint Archive, 2023
42023
Ramen: Souper fast three-party computation for ram programs
L Braun, M Pancholi, R Rachuri, M Simkin
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications …, 2023
22023
How to compile polynomial IOP into simulation-extractable snarks: a modular approach
M Kohlweiss, M Pancholi, A Takahashi
Theory of Cryptography Conference, 486-512, 2023
12023
Beyond Knowledge Soundness of SNARKs
MR Pancholi
Aarhus University, 2024
2024
A Robust PPML Framework for Three Servers
M Pancholi
Indian Institute of Science Bangalore, 2020
2020
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Articles 1–9