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Automated Verification of Soundness of DNN Certifiers

Talkat OOPSLA 2025 · 2025-10-16..10-18· [machine-learning]
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linkedin:gagandeep
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Automates soundness checks for abstract-interpretation DNN certifiers by encoding certifier specs in the ConstraintFlow DSL, translating networks to a symbolic DNN representation, and discharging the resulting forall properties to SMT solvers. Handles interval/DeepPoly-style domains and arbitrary architectures, verifies most existing transformers in 1–2 seconds, and emits executable certifiers via a CPU compiler; code and artifacts are available at the project GitHub/Zenodo links.

AI-written summary · about

  1. 0:00Introduction
  2. 1:06Certifier soundness limits
  3. 3:34Certifier development challenges
  4. 7:02Formal verification of soundness
  5. 11:56Results and future directions
  6. 13:19Q&A
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