works on

From the 2 of 7 linked papers with an AI index.

activity
20242026
most citedAndroByte: LLM-Driven Privacy Analysis through Bytecode Summarization and Dynamic Dataflow Call Graph Generation

1 citations · 1 across the 4 of their papers we have counts for

collaborators

7 papers

cs.CR2026

Disclosure Divergence: Measuring Privacy Policy and Data Safety Misalignment at Scale

Mst Eshita Khatun, Lamine Noureddine, Sideeq Bello +1

The paper studies how often Android apps' privacy policies match the Data Safety labels shown on Google Play, using a large dataset and an LLM to extract and compare disclosures, a…

cs.CR2026

A Measurement Study of AI-Environment Realism Gaps in Malware-Analysis Sandboxes

Zhiyong Sui, Lamine Noureddine, Mst Eshita Khatun +4

The paper measures how artifacts left by AI software (like model caches and configuration files) can be used by malware to detect whether it is running inside a sandbox, and evalua…

cs.CR2026

A Large Language Model Approach to Generating Bypass Rules for Malware Evasion in Analysis Sandbox

Zhiyong Sui, Lamine Noureddine, Mst Eshita Khatun +3

Sandbox evasion remains a critical challenge for automated malware analysis, as modern malware employs environment checks to detect analysis platforms and suppress malicious behavi…

cs.CR20251 cited

AndroByte: LLM-Driven Privacy Analysis through Bytecode Summarization and Dynamic Dataflow Call Graph Generation

Mst Eshita Khatun, Lamine Noureddine, Zhiyong Sui +1

With the exponential growth in mobile applications, protecting user privacy has become even more crucial. Android applications are often known for collecting, storing, and sharing…

cs.LG2025

Leveraging Big Data Frameworks for Spam Detection in Amazon Reviews

Mst Eshita Khatun, Halima Akter, Tasnimul Rehan +1

In this digital era, online shopping is common practice in our daily lives. Product reviews significantly influence consumer buying behavior and help establish buyer trust. However…

cs.CR2025

Exploring Large Language Models for Semantic Analysis and Categorization of Android Malware

Brandon J Walton, Mst Eshita Khatun, James M Ghawaly +1

Malware analysis is a complex process of examining and evaluating malicious software's functionality, origin, and potential impact. This arduous process typically involves dissecti…