From the 2 of 8 linked papers with an AI index.
8 papers
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…
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…
RECON: An LLM-Enhanced Backward Constraint Analysis Framework
Babangida Bappah, Lamine Noureddine, Umar Farooq +1
While traditional techniques, such as symbolic execution, provide a principled foundation for precise constraint reasoning in program analysis, they struggle to scale to modern sof…
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…
Exploring Runtime Evolution in Android: A Cross-Version Analysis and Its Implications for Memory Forensics
Babangida Bappah, Lauren G Bristol, Lamine Noureddine +3
Userland memory forensics has become a critical component of smartphone investigations and incident response, enabling the recovery of volatile evidence such as deleted messages fr…
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…