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20222026
most citedAssessing, Exploiting, and Mitigating Syntactic Robustness Failures in LLM-Based Code Generation

2 citations · 3 across the 4 of their papers we have counts for

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cs.SE2024★ 2 cited

Assessing, Exploiting, and Mitigating Syntactic Robustness Failures in LLM-Based Code Generation

Laboni Sarker, Mara Downing, Achintya Desai +1

Rapid advances in the field of Large Language Models (LLMs) have made LLM-based code generation an important area for investigation. An LLM-based code generator takes a prompt as i…

cs.SE2022

Rare-Seed Generation for Fuzzing

Seemanta Saha, Laboni Sarker, Md Shafiuzzaman +4

Starting with a random initial seed, fuzzers search for inputs that trigger bugs or vulnerabilities. However, fuzzers often fail to generate inputs for program paths guarded by res…