Optimizing Privacy-Preserving Primitives to Support LLM-Scale Applications

Documenti analoghi

• Robust and Secure Code Watermarking for Large Language Models via ML/Crypto Codesign
  di: Zhang, Ruisi, et al.
  Pubblicazione: (2025)
• MergeGuard: Efficient Thwarting of Trojan Attacks in Machine Learning Models
  di: Shabgahi, Soheil Zibakhsh, et al.
  Pubblicazione: (2025)
• ZORRO: Zero-Knowledge Robustness and Privacy for Split Learning (Full Version)
  di: Sheybani, Nojan, et al.
  Pubblicazione: (2025)
• Trojan Cleansing with Neural Collapse
  di: Gu, Xihe, et al.
  Pubblicazione: (2024)
• Zero-Knowledge Proof Frameworks: A Systematic Survey
  di: Sheybani, Nojan, et al.
  Pubblicazione: (2025)