International Association for Cryptologic Research

International Association
for Cryptologic Research

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Ph.D student
atlanTTic Research Center, Universidade de Vigo; Vigo, Spain

PhD position available at the AtlanTTic Research Center (https://atlanttic.uvigo.es/en/), Universidade de Vigo, Spain. Start in early 2023, covering full PhD duration (3-4 years), and including travel budget for conferences and summer schools.

The workplace is in the city of Vigo, being ranked by OCU as the Spanish city with the highest life quality (https://www.idealista.com/en/news/lifestyle-in-spain/2021/06/02/13426-quality-of-life-in-spain-spanish-cities-with-the-best-and-worst-quality-of-life).

The position will be part-time in two projects related to privacy and intellectual property protection for federated machine learning: 1) TRUMPET, an European project on privacy enhancing methods and privacy metrics for federated learning (FL); 2) FELDSPAR, a Spanish project to use DNN watermarking for protecting the intellectual property of FL models.

PhD candidates will carry out research on: 1) identifying threat models and measuring privacy leaks in FL; 2) develop novel DNN watermarking algorithms in FL robust to collusion attacks.

Intended tasks:

  • Research on methods and metrics to measure the privacy leakage in FL models without and with crypto/differential privacy protection.
  • Develop tools for automatic measurement/learning of privacy leaks.
  • Research and implementation of methods for watermarking-based fingerprinting of federated models robust to collusion attacks.
  • Simulation of realistic conditions to test performance.
  • Publications in journals and/or conference proceedings.

    Your profile:

  • Master’s degree or equivalent in Electrical/Telecommunications Engineering, Computer Science, Mathematics or similar. Strong background in machine learning (theory and implementations) required. Knowledge of privacy enhancing technologies and of information theory will be positively evaluated.
  • Good communication/writing skills in English.
  • Good programming skills and experience working with machine learning libraries.
  • Contact: For more details, send an email to Prof. Fernando Pérez-González (fperez@gts.uvigo.es).
    Last updated: 2022-11-02 posted on 2022-10-29