共 50 条
- [32] A Deep Learning-based Formula Detection Method for PDF Documents 2017 14TH IAPR INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION (ICDAR), VOL 1, 2017, : 553 - 558
- [33] A Table Detection Method for PDF Documents Based on Convolutional Neural Networks PROCEEDINGS OF 12TH IAPR WORKSHOP ON DOCUMENT ANALYSIS SYSTEMS, (DAS 2016), 2016, : 287 - 292
- [34] An Evasion Resilient Approach to the Detection of Malicious PDF Files INFORMATION SYSTEMS SECURITY AND PRIVACY, ICISSP 2015, 2015, 576 : 68 - 85
- [35] FEPDF: A Robust Feature Extractor for Malicious PDF Detection 2017 16TH IEEE INTERNATIONAL CONFERENCE ON TRUST, SECURITY AND PRIVACY IN COMPUTING AND COMMUNICATIONS / 11TH IEEE INTERNATIONAL CONFERENCE ON BIG DATA SCIENCE AND ENGINEERING / 14TH IEEE INTERNATIONAL CONFERENCE ON EMBEDDED SOFTWARE AND SYSTEMS, 2017, : 218 - 224
- [36] DETECTING MALICIOUS PDF DOCUMENTS USING SEMI-SUPERVISED MACHINE LEARNING ADVANCES IN DIGITAL FORENSICS XVII, 2021, 612 : 135 - 155
- [37] Malicious PDF Detection using Metadata and Structural Features 28TH ANNUAL COMPUTER SECURITY APPLICATIONS CONFERENCE (ACSAC 2012), 2012, : 239 - 248
- [38] Research and Improvement of Feature Engineering for Malicious PDF Detection Dianzi Keji Daxue Xuebao/Journal of the University of Electronic Science and Technology of China, 2022, 51 (05): : 766 - 773
- [39] Malicious PDF document detection based on mixed feature Tongxin Xuebao/Journal on Communications, 2019, 40 (02): : 118 - 128
- [40] Warm Up before Circuit De-obfuscation? An Exploration through Bounded-Model-Checkers 2022 IEEE INTERNATIONAL SYMPOSIUM ON HARDWARE ORIENTED SECURITY AND TRUST (HOST), 2022, : 13 - 16