4 papers
Analyzing PDFs like Binaries: Adversarially Robust PDF Malware Analysis via Intermediate Representation and Language Model
Side Liu, Jiang Ming, Guodong Zhou +3
Malicious PDF files have emerged as a persistent threat and become a popular attack vector in web-based attacks. While machine learning-based PDF malware classifiers have shown pro…
Retrofitting XoM for Stripped Binaries without Embedded Data Relocation
Chenke Luo, Jiang Ming, Mengfei Xie +2
In this paper, we present PXoM, a practical technique to seamlessly retrofit XoM into stripped binaries on the x86-64 platform. As handling the mixture of code and data is a well-k…
Beyond Tag Collision: Cluster-based Memory Management for Tag-based Sanitizers
Mengfei Xie, Yan Lin, Hongtao Wu +3
Tag-based sanitizers attach a small "key" to each pointer and a matching "lock" tag to its target memory object, enabling runtime verification of pointer-object consistency and hel…
Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models
Zuquan Peng, Jianming Fu, Lixin Zou +3
The use of unvetted third-party and internet data renders pre-trained models susceptible to backdoor attacks. Detecting backdoor samples is critical to prevent backdoor activation…