activity
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

collaborators

5 papers

cs.CR2026

DeepDiff: Neuro-Dynamic Regression-Freedom Checking for Security Patch Validation

Laboni Sarker, Shuvendu K Lahiri

Automatically validating AI-generated security patches remains a significant challenge. Eliminating a reported crash and passing existing test suites do not provide sufficient conf…

cs.PL2026

Quantitative Symbolic Patch Impact Analysis

Laboni Sarker, Abdus Satter, Tevfik Bultan

Traditional equivalence checking classifies programs as equivalent or non-equivalent, providing insufficient information for tasks like patch impact analysis where it is expected t…

cs.CR2024★ 1 cited

UEFI Vulnerability Signature Generation using Static and Symbolic Analysis

Md Shafiuzzaman, Achintya Desai, Laboni Sarker +1

Since its major release in 2006, the Unified Extensible Firmware Interface (UEFI) has become the industry standard for interfacing a computer's hardware and operating system, repla…

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…