Understanding Privacy Risks in Code Models Through Training Dynamics: A Causal Approach

Documenti analoghi

• How Do Semantically Equivalent Code Transformations Impact Membership Inference on LLMs for Code?
  di: Yang, Hua, et al.
  Pubblicazione: (2025)
• "False negative -- that one is going to kill you": Understanding Industry Perspectives of Static Analysis based Security Testing
  di: Ami, Amit Seal, et al.
  Pubblicazione: (2023)
• AEGIS: From Clues to Verdicts -- Graph-Guided Deep Vulnerability Reasoning via Dialectics and Meta-Auditing
  di: Fang, Sen, et al.
  Pubblicazione: (2026)
• Mutation-based Evaluation of Cryptographic API Misuse Detectors
  di: Ami, Amit Seal, et al.
  Pubblicazione: (2021)
• Towards Privacy-Preserving Code Generation: Differentially Private Code Language Models
  di: Catal, Melih, et al.
  Pubblicazione: (2025)