Media Summary: Thomas Schneider, Technische Universität Darmstadt USENIX Security '21 - ABY2.0: Improved Mixed-Protocol USENIX Security '23 - Squirrel: A Scalable

Secure Two Party Computation In - Detailed Analysis & Overview

Thomas Schneider, Technische Universität Darmstadt USENIX Security '21 - ABY2.0: Improved Mixed-Protocol USENIX Security '23 - Squirrel: A Scalable Carmit Hazay and Muthuramakrishnan Venkitasubramaniam, Crypto 2016. Prof. Yehuda Lindell of Bar-Ilan University Lecture given at Technion-Israel Institute of Technology TCE Summer School 2013 ... Talk at crypto 2012. Authors: Jesper Buus Nielsen, Peter Sebastian Nordholt, Claudio Orlandi, Sai Sheshank Burra.

Paper by Xiao Wang and Alex J. Malozemoff and Jonathan Katz, presented at Eurocrypt 2017. Paper by Elette Boyle and Yuval Ishai and Antigoni Polychroniadou, presented at Crypto 2018. Invited talk by Jonathan Katz presented at Crypto 2019 See Paper by Jonathan Katz and Samuel Ranellucci and Mike Rosulek and Xiao Wang, presented at Crypto 2018. In this video, we explain what "secret-sharing" is in a simple, approachable way. We also show how you can add up secret-shared ...

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A Framework for Efficient Mixed-Protocol Secure Two-Party Computation
USENIX Security '21 - ABY2.0: Improved Mixed-Protocol Secure Two-Party Computation
USENIX Security '23 - Squirrel: A Scalable Secure Two-Party Computation Framework for Training...
On the Power of Secure Two Party Computation
Secure Two-Party Computation in Practice Part 1 - Yehuda Lindell
A New Approach to Practical Active-Secure Two-Party Comp ...
Faster Secure Two Party Computation in the Single Execution Setting
Secure Two-Party Computation part II (Crypto 2023)
Secure Computation with Sublinear Amortized Work
Limits of Practical Sublinear Secure Computation
Invited talk: Secure computation: When theory meets...
Optimizing Authenticated Garbling for Faster Secure Two Party Computation
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A Framework for Efficient Mixed-Protocol Secure Two-Party Computation

A Framework for Efficient Mixed-Protocol Secure Two-Party Computation

Thomas Schneider, Technische Universität Darmstadt

USENIX Security '21 - ABY2.0: Improved Mixed-Protocol Secure Two-Party Computation

USENIX Security '21 - ABY2.0: Improved Mixed-Protocol Secure Two-Party Computation

USENIX Security '21 - ABY2.0: Improved Mixed-Protocol

USENIX Security '23 - Squirrel: A Scalable Secure Two-Party Computation Framework for Training...

USENIX Security '23 - Squirrel: A Scalable Secure Two-Party Computation Framework for Training...

USENIX Security '23 - Squirrel: A Scalable

On the Power of Secure Two Party Computation

On the Power of Secure Two Party Computation

Carmit Hazay and Muthuramakrishnan Venkitasubramaniam, Crypto 2016.

Secure Two-Party Computation in Practice Part 1 - Yehuda Lindell

Secure Two-Party Computation in Practice Part 1 - Yehuda Lindell

Prof. Yehuda Lindell of Bar-Ilan University Lecture given at Technion-Israel Institute of Technology TCE Summer School 2013 ...

A New Approach to Practical Active-Secure Two-Party Comp ...

A New Approach to Practical Active-Secure Two-Party Comp ...

Talk at crypto 2012. Authors: Jesper Buus Nielsen, Peter Sebastian Nordholt, Claudio Orlandi, Sai Sheshank Burra.

Faster Secure Two Party Computation in the Single Execution Setting

Faster Secure Two Party Computation in the Single Execution Setting

Paper by Xiao Wang and Alex J. Malozemoff and Jonathan Katz, presented at Eurocrypt 2017.

Secure Two-Party Computation part II (Crypto 2023)

Secure Two-Party Computation part II (Crypto 2023)

Secure Two

Secure Computation with Sublinear Amortized Work

Secure Computation with Sublinear Amortized Work

We present the first protocol for

Limits of Practical Sublinear Secure Computation

Limits of Practical Sublinear Secure Computation

Paper by Elette Boyle and Yuval Ishai and Antigoni Polychroniadou, presented at Crypto 2018.

Invited talk: Secure computation: When theory meets...

Invited talk: Secure computation: When theory meets...

Invited talk by Jonathan Katz presented at Crypto 2019 See https://iacr.org/cryptodb/data/paper.php?pubkey=29935.

Optimizing Authenticated Garbling for Faster Secure Two Party Computation

Optimizing Authenticated Garbling for Faster Secure Two Party Computation

Paper by Jonathan Katz and Samuel Ranellucci and Mike Rosulek and Xiao Wang, presented at Crypto 2018.

Introducing Secure Multi Party Computation (MPC)

Introducing Secure Multi Party Computation (MPC)

In this video, we explain what "secret-sharing" is in a simple, approachable way. We also show how you can add up secret-shared ...