Stan Peceny

Education and Work Experience

2025 Ph.D. Computer Science
GEORGIA INSTITUTE OF TECHNOLOGY
I have a broad interest in all areas of cryptography, with my PhD research specifically focused on secure multi-party computation (MPC). I have authored multiple papers in this area, all with the aim of making MPC more concretely efficient. My research advisor is Professor Kolesnikov.

In addition to my research at Georgia Tech, I have completed research internships with Visa's Advanced Cryptography team (Palo Alto, Foster City), Google's Private Computing team (New York), and Inpher (New York), a start-up specializing in MPC.
2017 B.S. Computer Science
COLUMBIA UNIVERSITY
Prior to my PhD, I worked as a software engineer at Inpher in New York for two years.
I hold a few patents.
Check out my talk on the research I conducted during one of my internships at Google in New York, including the open-sourced implementation. Note that performance has improved significantly since this talk was recorded. See the publication at EuroS&P 2024 for most up-to-date numbers.

Stan Peceny

Education and Work Experience

GEORGIA INSTITUTE OF TECHNOLOGY

COLUMBIA UNIVERSITY

Peer-reviewed Publications & Talks

Cryptography (**authorship is alphabetical in cryptography and theory)

EuroS&P, 2024 (Vienna)

Agarwal, A., Peceny, S., Raykova, M., Schoppmann, P., Seth, K.:
Communication-Efficient Secure Logistic Regression.

CSCML, 2023

Kolesnikov, V., Peceny, S., Trieu, N., Wang, X.:
Fast ORAM with Server-aided Preprocessing and Pragmatic Privacy-Efficiency Trade-off.

See my conference talk (will be uploaded soon).

Asiacrypt, 2021 (Singapore)

Heath, D., Kolesnikov, V., Peceny, S.:
Garbling, Stacked and Staggered: Faster k-out-of-n Garbled Function Evaluation.

See my conference talk.

Public Key Cryptography, 2021 (Edinburgh)

Heath, D., Kolesnikov, V., Peceny, S.:
Masked Triples: Amortizing Multiplication Triples across Conditionals.

See my conference talk.

Asiacrypt, 2020 (Daejeon)

Heath, D., Kolesnikov, V., Peceny, S.:
MOTIF: (Almost) Free Branching in GMW via Vector-Scalar Multiplication.

See my conference talk.

Financial Cryptography, 2018 (Curacao)

Boura, C., Chillotti, I., Gama, N., Jetchev, D., Peceny, S., Petric, A.:
High-precision privacy-preserving real-valued function evaluation.

Cryptography & Security

CCS, 2023 (Copenhagen)

Yang, Y., Peceny, S., Heath, D., Kolesnikov, V.:
Towards Generic MPC Compilers via Variable Instruction Set Architectures (VISAs).

Contact Info

Travels

Here are some of my trips in the United States!

Here are some of my international trips!

Stan Peceny

Education and Work Experience

GEORGIA INSTITUTE OF TECHNOLOGY

COLUMBIA UNIVERSITY

Peer-reviewed Publications & Talks

Cryptography (**authorship is alphabetical in cryptography and theory)

EuroS&P, 2024 (Vienna)

Agarwal, A., Peceny, S., Raykova, M., Schoppmann, P., Seth, K.: Communication-Efficient Secure Logistic Regression.

CSCML, 2023

Kolesnikov, V., Peceny, S., Trieu, N., Wang, X.: Fast ORAM with Server-aided Preprocessing and Pragmatic Privacy-Efficiency Trade-off.

See my conference talk (will be uploaded soon).

Asiacrypt, 2021 (Singapore)

Heath, D., Kolesnikov, V., Peceny, S.: Garbling, Stacked and Staggered: Faster k-out-of-n Garbled Function Evaluation.

See my conference talk.

Public Key Cryptography, 2021 (Edinburgh)

Heath, D., Kolesnikov, V., Peceny, S.: Masked Triples: Amortizing Multiplication Triples across Conditionals.

See my conference talk.

Asiacrypt, 2020 (Daejeon)

Heath, D., Kolesnikov, V., Peceny, S.: MOTIF: (Almost) Free Branching in GMW via Vector-Scalar Multiplication.

See my conference talk.

Financial Cryptography, 2018 (Curacao)

Boura, C., Chillotti, I., Gama, N., Jetchev, D., Peceny, S., Petric, A.: High-precision privacy-preserving real-valued function evaluation.

Cryptography & Security

CCS, 2023 (Copenhagen)

Yang, Y., Peceny, S., Heath, D., Kolesnikov, V.: Towards Generic MPC Compilers via Variable Instruction Set Architectures (VISAs).

Contact Info

Travels

Here are some of my trips in the United States!

Here are some of my international trips!

Non-contiguous

Trains

South

West

Americas

Africa

Europe

Middle East

Asia

Agarwal, A., Peceny, S., Raykova, M., Schoppmann, P., Seth, K.:
Communication-Efficient Secure Logistic Regression.

Kolesnikov, V., Peceny, S., Trieu, N., Wang, X.:
Fast ORAM with Server-aided Preprocessing and Pragmatic Privacy-Efficiency Trade-off.

Heath, D., Kolesnikov, V., Peceny, S.:
Garbling, Stacked and Staggered: Faster k-out-of-n Garbled Function Evaluation.

Heath, D., Kolesnikov, V., Peceny, S.:
Masked Triples: Amortizing Multiplication Triples across Conditionals.

Heath, D., Kolesnikov, V., Peceny, S.:
MOTIF: (Almost) Free Branching in GMW via Vector-Scalar Multiplication.

Boura, C., Chillotti, I., Gama, N., Jetchev, D., Peceny, S., Petric, A.:
High-precision privacy-preserving real-valued function evaluation.

Yang, Y., Peceny, S., Heath, D., Kolesnikov, V.:
Towards Generic MPC Compilers via Variable Instruction Set Architectures (VISAs).