[USENIX Sec '25] VAPD: An Anomaly Detection Model for PDF Malware Forensics with Adversarial Robustness Aug 13, 2025ยท Side Liu Jiang Ming , Yilin Zhou , Jianming Fu , Guojun Peng ยท 0 min read Cite Type Conference paper Publication In Proceedings of the 34th USENIX Security Symposium, Seattle, WA, August 13-15, 2025. Last updated on Aug 13, 2025 Computer Security Authors Jiang Ming Associate Professor of Computer Science ← [CCS '25] Analyzing PDFs like Binaries: Adversarially Robust PDF Malware Analysis via Intermediate Representation and Language Model Oct 13, 2025 [USENIX ATC '25] MemoryTrap: Booby Trapping Memory to Counter Memory Disclosure Attacks with Hardware Support Jul 7, 2025 →