Differential Privacy in Machine Learning: A Survey from Symbolic AI to LLMs

Documenti analoghi

• Differential Privacy Regularization: Protecting Training Data Through Loss Function Regularization
  di: Aguilera-Martínez, Francisco, et al.
  Pubblicazione: (2024)
• LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures
  di: Aguilera-Martínez, Francisco, et al.
  Pubblicazione: (2025)
• RPG-AE: Neuro-Symbolic Graph Autoencoders with Rare Pattern Mining for Provenance-Based Anomaly Detection
  di: Tauhid, Asif, et al.
  Pubblicazione: (2026)
• DL101 Neural Network Outputs and Loss Functions
  di: Berzal, Fernando
  Pubblicazione: (2025)
• From One Attack Domain to Another: Contrastive Transfer Learning with Siamese Networks for APT Detection
  di: Benabderrahmane, Sidahmed, et al.
  Pubblicazione: (2025)