A Hybrid Quantum-Classical AI-Based Detection Strategy for Generative Adversarial Network-Based Deepfake Attacks on an Autonomous Vehicle Traffic Sign Classification System

Ähnliche Einträge

• AR-GAN: Generative Adversarial Network-Based Defense Method Against Adversarial Attacks on the Traffic Sign Classification System of Autonomous Vehicles
  von: Salek, M Sabbir, et al.
  Veröffentlicht: (2023)
• Quantum Computing Supported Adversarial Attack-Resilient Autonomous Vehicle Perception Module for Traffic Sign Classification
  von: Majumder, Reek, et al.
  Veröffentlicht: (2025)
• An Overview of Automated Vehicle Longitudinal Platoon Formation Strategies
  von: Salek, M Sabbir, et al.
  Veröffentlicht: (2024)
• Hybrid Deep Learning and Classification Framework for Automatic Traffic Inspection Classification Based on Image Detection
  von: Qingning Chen, et al.
  Veröffentlicht: (2026)
• Quantum Software Architecture Framework (QSAF): A Component-Based Framework for Designing Hybrid Quantum-Classical Systems
  von: Kiwelekar, Arvind W., et al.
  Veröffentlicht: (2026)