Nikolaj I. Schwartzbach

I work as a Ph.D. student in computer science under supervision of Ivan Damgård at the Aarhus crypto group.

My primary interests are in the intersection of game theory and cryptography.

Mail:	`nis@cs.au.dk`
Office:	Nygaard-282, Åbogade 34, 8200 Aarhus N, Denmark

Papers

Selected talks

Teaching

Widgets

Working papers

Deposit Schemes for Incentivizing Honesty in Finite Games of Perfect Information
Nikolaj I. Schwartzbach
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Peer-reviewed publications

Game Theory on the Blockchain: A Model for Games with Smart Contracts
Mathias Hall-Andersen and Nikolaj I. Schwartzbach
SAGT 2021: 14th International Symposium on Algorithmic Game Theory
link - preprint - widget

More Communication Lower Bounds for Information-Theoretic MPC
Ivan Damgård, Boyang Li, and Nikolaj I. Schwartzbach
ITC 2021: 2nd Conference on Information-Theoretic Cryptography
link - preprint - video

An Incentive-Compatible Smart Contract for Decentralized Commerce
Nikolaj I. Schwartzbach
ICBC 2021: 3rd IEEE International Conference on Blockchain and Cryptocurrency
link - preprint - widget

Selected list of talks I have given at workshops / conferences.

More Communication Lower Bounds for Information-Theoretic MPC
24th July, 2021
ITC 2021: 2nd Conference on Information-Theoretic Cryptography

Game theory on the blockchain: a model for games with smart contracts
14th June, 2021
SAET 2021: Society for the Advancement of Economic Theory Conference

An Incentive-Compatible Smart Contract for Decentralized Commerce
4th May, 2021
ICBC 2021: 3rd IEEE International Conference on Blockchain and Cryptocurrency

Communication Lower Bounds for Perfect Maliciously Secure MPC
25th May, 2020
TPMPC 2020: Theory and Practice of Multi-Party Computation Workshop

List of all courses where I have worked as a teaching assistant.

Introduction to Programming	E16, E17, E18, E19
Programming for High School Teachers	F17, F19, F21
Programming Languages	F18
Optimization	F20
Machine Learning	E20

Collection of small interactive applications I have developed as supplementary material for selected papers.

Deposit Scheme Calculator. Computes a deposit scheme for incentivizing an intended behavior in a finite game of perfect information. Parties initially make a deposit that is (partially) repaid if the deposit schemes observes certain behavior.

Reverse Stackelberg Calculator. Computes a reverse Stackelberg equilibrium on two-player games of perfect information. This corresponds to the players deploying smart contracts before playing the game. When there are more than two contracts, the problem is conjectured to be NP-complete.

Decentralized Commerce Simulator. Simulates multiple trades between a seller and a buyer who deploy the smart contract described in my ICBC paper.