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Stanislav Peceny
Stanislav Peceny
Verified email at gatech.edu
Title
Cited by
Cited by
Year
High-Precision Privacy-Preserving Real-Valued Function Evaluation
N Gama, J Brandt, D Jetchev, S Peceny, A Petric
US Patent App. 16/643,833, 2020
262020
High-precision privacy-preserving real-valued function evaluation
C Boura, I Chillotti, N Gama, D Jetchev, S Peceny, A Petric
Financial Cryptography and Data Security: 22nd International Conference, FC …, 2018
252018
MOTIF:(Almost) Free Branching in GMW: Via Vector-Scalar Multiplication
D Heath, V Kolesnikov, S Peceny
International Conference on the Theory and Application of Cryptology and …, 2020
102020
High-precision privacy-preserving real-valued function evaluation
N Gama, J Brandt, D Jetchev, S Peceny, A Petric
US Patent 10,917,235, 2021
62021
Communication-efficient secure logistic regression
A Agarwal, S Peceny, M Raykova, P Schoppmann, K Seth
Cryptology ePrint Archive, 2022
52022
Masked Triples: Amortizing Multiplication Triples Across Conditionals
D Heath, V Kolesnikov, S Peceny
IACR International Conference on Public-Key Cryptography, 319-348, 2021
42021
Towards Generic MPC Compilers via Variable Instruction Set Architectures (VISAs)
Y Yang, S Peceny, D Heath, V Kolesnikov
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications …, 2023
32023
Garbling, Stacked and Staggered: Faster k-out-of-n Garbled Function Evaluation
D Heath, V Kolesnikov, S Peceny
Advances in Cryptology–ASIACRYPT 2021: 27th International Conference on the …, 2021
22021
Efficient Permutation Correlations and Batched Random Access for Two-Party Computation
S Peceny, S Raghuraman, P Rindal, H Shah
Cryptology ePrint Archive, 2024
2024
Logstar: Efficient Linear* Time Secure Merge
S Chakraborty, S Peceny, S Raghuraman, P Rindal
Cryptology ePrint Archive, 2024
2024
Fast ORAM with Server-Aided Preprocessing and Pragmatic Privacy-Efficiency Trade-Off
V Kolesnikov, S Peceny, N Trieu, X Wang
International Symposium on Cyber Security, Cryptology, and Machine Learning …, 2023
2023
High-precision privacy-preserving real-valued function evaluation
N Gama, J Brandt, D Jetchev, S Peceny, A Petrie
US Patent 11,539,515, 2022
2022
Highly accurate function evaluation for real value privacy
N Gama, J Brandt, D Jetchev, S Peceny, A Petric
2021
High-precision privacy-preserving real-valued function evaluation
G Nicolas, J Brandt, D JETCHEV, S PECENY, A PETRIC
2020
EVALUATION OF REAL-VALUE FUNCTION PRESERVING HIGH PRECISION CONFIDENTIALITY
G Nicolas, J Brandt, D JETCHEV, S PECENY, A PETRIC
2019
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