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Peisen Yao

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Sep 2026

Effective Fuzzing-based Prototype Pollution Detection via Forced Execution and Template Synthesis

Prototype pollution is a critical class of taint-style vulnerabilities in JavaScript programs, enabling attackers to tamper with object prototypes and thereby alter program behavior in unexpected and often dangerous ways. Despite its severity, existing detection techniques struggle with excessive false positives and po...

De-Zhen Kong, Pei-Sen Yao, Jia-Kun Liu et al. · 0 citations
#artificial intelligence Preprint Sep 2026

DatalogBench: Evaluating Large Language Models on Text-to-Datalog Synthesis

Datalog underpins reasoning tasks such as program analysis, but its programs are hard to write. Existing synthesizers automate this task but require users to state their intent as input-output examples. Large language models (LLMs) suggest a more natural route, text-to-Datalog synthesis from a natural-language question...

Yuan Li, Han-Yun Jiang, Guo-Wei Tian et al. · 0 citations
Jul 2026

Path-Sensitive Loop Invariant Inference via Large Language Models and Abstract Interpretation

A path-sensitive loop invariant inference approach based on Large Language Models and abstract interpretation that constructs candidate invariants as disjunctions of clause conjunctions satisfied by counterexamples across loop paths and iteratively refines them using counterexamples generated by the SMT solver during v...

Guangsheng Fan, Liqian Chen, Pei-Sen Yao et al. · 0 citations
Jul 2026

A Fresh Look at Best Inductive Loop Invariant Synthesis for Bit-Vector Relations

This work presents two new algorithms for bit-vector programs: a strategically guided linear search that exploits the lattice structure and a bitwise greedy approach that resolves bound bits from high to low with a solver-call count linear in bit-width.

Hanrui Zuo, Pei-Sen Yao, Kui Ren · 0 citations
Preprint Aug 2026

PyFlow: An Inter-procedural Static Analysis Framework for Python

PyFlow is presented, a generic IFDS-based static-analysis framework for Python that provides a multi-stage intermediate-representation pipeline and a generic IFDS solver parameterized by abstract domains and concludes with lessons learned from building IFDS analyses for Python.

Zi-Nan Gu, Haoxiang Yan, Pei-Sen Yao · 0 citations
Preprint Aug 2026

Accelerating C/C++ Pointer Analysis via Compiler-Based Offline Simplifications

This paper explores a new perspective: applying semantic-preserving compiler optimizations directly to intermediate representation (IR) before pointer analysis, which is modular, analysis-agnostic, and easily integrates with existing tools.

Zi-Nan Gu, Pei-Sen Yao, Kui Ren · 0 citations

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