Symbolic Execution for Python
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Updated
Oct 26, 2020 - Python
Symbolic Execution for Python
Micro-SVM: A simple symbolic VM in Python and Z3
several scripts to process data from SMT solvers
Sandboxed data analysis with LLMs (powered by DuckDB)
Synoptic: Concolic execution for network protocol inference
Scripts and binaries used for the angr presentation at quebecsec. Presentation available at: https://www.youtube.com/watch?v=1hwEessoskc
This repository contains the full implementation of FuSS (Firmware-based Symbolic-guided SoC Fuzzing)
A HL Symbolic Execution Engine Prototype for Reachability
PySEAT is a testing automation tool. It automatically generates test cases for Python programs that use complex heap-allocated data structures.
Resource compilation, experiments, and tests on Symbolic Execution, Type Inference and Property-Guided Testing of python programs
ECE653-s2024 (Software Testing, Quality Assurance and Maintenance): Course project on implementing depth-first search and breadth-first search on a Python-based symbolic execution engine
Python library for program synthesis and symbolic execution combining constraint solving and LLMs
A robust framework for formal verification of multi-agent systems powered by LLMs, ensuring safe and reliable decision-making. Integrates machine learning with formal methods to validate agent behaviors, safety constraints, and real-world simulations in critical domains like autonomous driving and robotics.
The Project work done at IITK
This repository demonstrates the creation of symbolic links, providing examples and tools to exploit this.
Test case generation of classic N-Puzzle game using Z3
Benchmarking Symbolic Execution tools for Wasm
AI based fuzzer based on imitation learning
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