Dr. André Riker

  • Visiting PostDoctoral Scholar - Arizona State University (United States of America)
  • Assistant Professor at Federal University of Pará (Brazil)
  • PhD in Information Science and Technology - University of Coimbra (Portugal)
  • MS in Computer Science - Federal University of Pará (Brazil)
  • BS in Computer Science - University of Amazônia (Brazil)

I am currently a visiting postdoctoral scholar at Arizona State University (ASU) in Tempe, Arizona, supervised by Prof. Eirini Tsiropoulou. Additionally, I serve as an Assistant Professor in the Faculty of Computer Science at the Federal University of Pará (UFPA) in the Brazilian Amazon. As the largest university in northern Brazil, UFPA supports over 50,000 students across multiple campuses, fostering excellence in education and research.


Read More in my Short Bio

News

  • Dr. Riker presented the paper "FEXT-DP: An Approach for Differentially Private and Explainable Federated Learning" at IEEE CCNC 2026.
  • Prof. Riker and author team have received the Best Paper Award in the main track of IEEE CAMAD 2025 for the article "Powering Honeypots with Generative AI."
  • Prof. Riker presented two papers at IEEE CAMAD 2025: "Federated Learning Attack: Fast Image Leakage from Gradients" and "Powering Honeypots with Generative AI."
  • André Riker presented the paper "An SDN-Based Approach for Conflicting Energy Profiles on Partially Sustainable IoT Networks" at IEEE WF-IoT 2024.
  • André Riker and author team have received received the Best Short Paper Award at the Brazilian Symposium on Information and Computer Systems Security (SBSeg) 2024.

My Current Research Lines

  • Secure Machine Learning
  • Cybersecurity applied to Open RAN
  • Open RAN communication
  • LLMs on Cybersecurity
  • Secure Semantic Communication
  • Attacks and Defenses for Federated Learning
  • Softwarization for Green communication
  • Tiny Machine Learning Models for IoT
  • Quantum Machine Learning
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