Me in 10 seconds
Software Engineer and PhD student in IT with expertise in applied cryptography, blockchain technologies, and privacy-preserving computation.
Combining deep theoretical understanding with hands-on full-stack development and project leadership.
My mission is to design systems that make our institutions more effective, resilient, and accountable.
🤩 What am I doing now?
See my “/now” page.
🎢️ Me in 1 minute
See my “/1min” page.
📝 Thoughts on
- The game no one wants to play (Aug, 2025)
- Erasmus (Dec, 2023)
- Dancing is stupid (Jan, 2023)
- My commandments (Jun, 2022)
- Happiness is subjective, revenue is objective (Jun, 2022)
- Optimising life model (Apr, 2022)
- Authentic opinions come from your feelings (Mar, 2022)
- No one value what you value (Jan, 2022)
- Mothers and daughters (Jan, 2022)
- Don’t be grateful for your suffering (Oct, 2021)
- Formalization complement creativity (Oct, 2021)
- How to create a profitable app (Aug, 2021)
- You can not appreciate what you do not understand (May, 2021)
- First business (Feb, 2021)
Technical Posts
- Privacy-Preserving Machine Learning Inference (Apr 2025)
- Notes from Zero Knowledge Summit 2024 (May 2024)
- Objective Personality typing using AI (Nov 2023)
- What is this thing called Personality Type? (Oct 2022)
- Implementing blind signature on ed25519 (2021)
- Writing Mongo Realm serverless functions with TypeScript (2020)
- How Android boots up (2018)
- Notes on Android architecture (2017)
📚 Publications
Articles
-
Federated Key Distribution
Stanislaw Baranski and Julian Szymanski. 2025. under review arXiv, -
A Trust-Centric Approach To Quantifying Maturity and Security in Internet Voting Protocols
Stanislaw Baranski, Ben Biedermann, and Joshua Ellul. 2025. under review arXiv -
A Survey on Privacy-Preserving Machine Learning Inference
Stanislaw Baranski. 2025. TASK Quarterly. DOI -
Haze and Daze: Compliant Privacy Mixers
Stanislaw Baranski, Maya Dotan, Ayelet Lotem, and Margarita Vald. 2024. ePrint -
Anonymous provision of privacy-sensitive services using blockchain and decentralised storage
Stanislaw Baranski, Julian Szymański, and Higinio Mora. 2025. International Journal of Information Security. DOI -
Privacy-Preserving, Scalable Blockchain-Based Solution for Monitoring Industrial Infrastructure in the Near Real-Time
Andrzej Sobecki, Stanislaw Baranski, and Julian Szymański. 2022. Applied Sciences 12 (14): 7143. DOI -
Mitigation of Fake Data Content Poisoning Attacks in NDN via Blockchain
Stanislaw Baranski and Jerzy Konorski. 2020. In 2020 30th International Telecommunication Networks and Applications Conference (ITNAC), 1–6. DOI -
Practical I-Voting on Stellar Blockchain
Stanislaw Baranski, Julian Szymański, Andrzej Sobecki, David Gil, and Higinio Mora. 2020. Applied Sciences 10 (21): 7606. DOI
Book Chapters
-
Oblivious Neural Networks
Baranski, Stanislaw. 2022. In Algorytmy i zastosowania inteligencji obliczeniowej, Wydawnictwo Politechniki Gdańskiej. PDF Book -
Blockchain: decentralised trust
Baranski, Stanislaw. 2021. In Uczenie maszynowe i systemy rozproszone, Wydawnictwo Politechniki Gdańskiej. PDF Book
Thesies
-
Baranski, Stanislaw. 2020. ‘Application of Blockchain and Infection Processes in Graphs to Mitigate Content Poisoning Attacks in Information-Centric Networks’. Master of Engineering, Gdańsk University of Technology.
-
Baranski, Stanislaw, Patryk Milewski, and Piotr Pabis. 2018. ‘Bitcoin cryptographic currency wallet with multifactor hybrid hardware-network authentication’. Bachelor of Engineering, Gdańsk University of Technology.
Scopus, Google schoolar, ResearchGate, Web of Science ORCID
📱 Apps
- ObjectivePersonality.ai - personality typing using AI
- Stellot - i-voting platform powered by Stellar blockchain
- Vape Tool - make only perfect coils and e-liquids
- Tax Ledger - settle taxes on cryptocurrencies trading
- My Github profile