Seminar details

Room 206 (2nd floor, badged access)

15 April 2024 - 14h00
Satisfiability modulo fuzzing: a synergistic combination of SMT solving and fuzzing
by Subhajit Roy from Indian Institute of Technology Kanpur

Abstract: Programming languages and software engineering tools routinely encounter components that are difficult to reason on via formal techniques or whose formal semantics are not even available—third-party libraries, inline assembly code, SIMD instructions, system calls, calls to machine learning models, etc. However, often access to these components is available as input-output oracles—interfaces are available to query these components on certain inputs to receive the respective outputs. We refer to such functions as closed-box functions. Regular SMT solvers are unable to handle such closed-box functions.
We propose Sādhak, a solver for SMT theories modulo closed-box functions. Our core idea is to use a synergistic combination of a fuzzer to reason on closed-box functions and an SMT engine to solve the constraints pertaining to the SMT theories. The fuzz and the SMT engines attempt to converge to a model by exchanging a rich set of interface constraints that are relevant and interpretable by them. Our implementation, Sādhak, demonstrates a significant advantage over the only other solver that is capable of handling such closed-box constraints: Sādhak solves 36.45% more benchmarks than the best-performing mode of this state-of-the-art solver and has 5.72x better PAR-2 score; on the benchmarks that are solved by both tools, Sādhak is (on an average) 14.62x faster.

Subhajit Roy is visiting Verimag from 12th to 20th April and is interested in collaborations.

Contact | Site Map | Site powered by SPIP 4.2.8 + AHUNTSIC [CC License]

info visites 3969383