Adam Dziedzic
Scholar

Adam Dziedzic

Google Scholar ID: MRk-A4YAAAAJ
SprintML group at CISPA, Vector Institute & University of Toronto
Trustworthy ML
Citations & Impact
All-time
Citations
1,938
 
H-index
21
 
i10-index
28
 
Publications
20
 
Co-authors
132
list available
Resume (English only)
Academic Achievements
  • Publications:
  • - 'BitMark for Infinity: Watermarking Bitwise Autoregressive Image Generative Models'
  • - Authors: Louis Kerner, Michel Meintz, Bihe Zhao, Franziska Boenisch, Adam Dziedzic
  • - Published in: The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS) 2025
Research Experience
  • - CISPA: Tenure Track Faculty Member, Co-leads the SprintML group
  • - Postdoctoral Fellow at the Vector Institute and the University of Toronto, Member of the CleverHans Lab, Advised by Prof. Nicolas Papernot
  • - Worked at CERN (Geneva, Switzerland)
  • - Barclays Investment Bank in London (UK)
  • - Microsoft Research (Redmond, USA)
  • - Google (Madison, USA)
Education
  • - Ph.D. in Computer Science: University of Chicago, Advisor: Prof. Sanjay Krishnan
  • - Master's and Bachelor's Degrees in Computer Science: Warsaw University of Technology, Poland
  • - Studied at DTU (Technical University of Denmark)
  • - Conducted research at EPFL, Switzerland
Background
  • Research Interests: Secure, Private, Robust, Interpretable, and Trustworthy Machine Learning. Focus: Designing robust and reliable machine learning methods while preserving data privacy and model confidentiality.
Miscellany
  • Hiring: Searching for ambitious students to join the SprintML group at CISPA
  • Email: adam.dziedzic@sprintml.com
  • Address: CISPA Helmholtz Center for Information Security, Stuhlsatzenhaus 5, 66123 Saarbrücken, Germany