Xuezixiang Li
YOU?
Author Swipe
View article: ALMOND: Learning an Assembly Language Model for 0-Shot Code Obfuscation Detection
ALMOND: Learning an Assembly Language Model for 0-Shot Code Obfuscation Detection Open
Code obfuscation is a technique used to protect software by making it difficult to understand and reverse engineer. However, it can also be exploited for malicious purposes such as code plagiarism or developing malicious programs. Learning…
View article: MAB-Malware
MAB-Malware Open
Modern commercial antivirus systems increasingly rely on machine learning (ML) to keep up with the rampant inflation of new malware. However, it is well-known that machine learning models are vulnerable to adversarial examples (AEs). Previ…
View article: MAB-Malware: A Reinforcement Learning Framework for Attacking Static Malware Classifiers
MAB-Malware: A Reinforcement Learning Framework for Attacking Static Malware Classifiers Open
Modern commercial antivirus systems increasingly rely on machine learning to keep up with the rampant inflation of new malware. However, it is well-known that machine learning models are vulnerable to adversarial examples (AEs). Previous w…
View article: Automatic Generation of Adversarial Examples for Interpreting Malware Classifiers.
Automatic Generation of Adversarial Examples for Interpreting Malware Classifiers. Open
Recent advances in adversarial attacks have shown that machine learning classifiers based on static analysis are vulnerable to adversarial attacks. However, real-world antivirus systems do not rely only on static classifiers, thus many of …
View article: DeepBinDiff: Learning Program-Wide Code Representations for Binary Diffing
DeepBinDiff: Learning Program-Wide Code Representations for Binary Diffing Open
Binary diffing analysis quantitatively measures the differences between two given binaries and produces fine-grained basic block level matching.It has been widely used to enable different kinds of critical security analysis.However, all ex…
View article: Learning Program-Wide Code Representations for Binary Diffing
Learning Program-Wide Code Representations for Binary Diffing Open
Binary diffing analysis quantitatively measures the differences between two given binaries and produces fine-grained basic block matching. It has been widely used to enable different kinds of critical security analysis. However, all existi…