Alapfogalmak
Developing a declarative DSL, ConstraintFlow, to specify and verify DNN certifiers based on Abstract Interpretation.
Kivonat
The content introduces ConstraintFlow, a DSL for specifying and verifying DNN certifiers based on Abstract Interpretation. It addresses challenges in DNN certification, such as designing algorithms, maintaining soundness, and handling abstract domains. ConstraintFlow allows defining abstract domains, transformers, and constraints succinctly. The operational semantics of ConstraintFlow involve statements, expressions, and constraints, ensuring type consistency and correctness.
Statisztikák
Recent works show Abstract-Interpretation-based formal certification techniques are promising for DNN trust.
General-purpose languages like C++ are impractical for verifying DNN algorithms.
ConstraintFlow allows defining new abstract domains and transformers in a few lines of code.
ConstraintFlow enables automatic verification of DNN certifiers for arbitrary architectures.
ConstraintFlow provides a foundation for building optimizing compilers for DNN certifiers.
Idézetek
"The uninterpretability of Deep Neural Networks hinders their deployment to safety-critical applications." - Content