Papers accepted at NDSS 2024

Success for CROSSING researchers

2024/02/02

The papers

  • CrowdGuard: Federated Backdoor Detection in Federated Learning
    by Phillip Rieger (Technical University of Darmstadt); Torsten Krauß (University of Würzburg); Markus Miettinen (Technical University of Darmstadt); Alexandra Dmitrienko (University of Würzburg); Ahmad-Reza Sadeghi (Technical University of Darmstadt)
  • FreqFed: A Frequency Analysis-Based Approach for Mitigating Poisoning Attacks in Federated Learning
    by Hossein Fereidooni, Alessandro Pegoraro, Phillip Rieger (Technical University of Darmstadt); Alexandra Dmitrienko (University of Würzburg); Ahmad-Reza Sadeghi (Technical University of Darmstadt)
  • DEMASQ: Unmasking the ChatGPT Wordsmith
    by Kavita Kumari (Technical University of Darmstadt, Germany); Alessandro Pegoraro (Technical University of Darmstadt); Hossein Fereidooni (Technische Universität Darmstadt); Ahmad-Reza Sadeghi (Technical University of Darmstadt)


have been accepted for publication at NDSS 2024 (CORE ranking: A+).