共 50 条
- [41] More Than Meets the Eye - An Anti-Phishing Learning Game with a Focus on Phishing Emails [J]. GAMES AND LEARNING ALLIANCE, GALA 2022, 2022, 13647 : 118 - 126
- [42] Utilizing Large Language Models with Human Feedback Integration for Generating Dedicated Warning for Phishing Emails [J]. PROCEEDINGS OF THE 2ND ACM WORKSHOP ON SECURE AND TRUSTWORTHY DEEP LEARNING SYSTEMS, SECTL 2024, 2024, : 35 - 46
- [43] LMs go Phishing: Adapting Pre-trained Language Models to Detect Phishing Emails [J]. 2022 IEEE/WIC/ACM INTERNATIONAL JOINT CONFERENCE ON WEB INTELLIGENCE AND INTELLIGENT AGENT TECHNOLOGY, WI-IAT, 2022, : 135 - 142
- [44] Devising and Detecting Phishing Emails Using Large Language Models [J]. IEEE ACCESS, 2024, 12 : 42131 - 42146
- [45] Text and Data Mining to Detect Phishing Websites and Spam Emails [J]. SWARM, EVOLUTIONARY, AND MEMETIC COMPUTING, PT II (SEMCCO 2013), 2013, 8298 : 559 - 573
- [46] Field Studies on the Impact of Cryptographic Signatures and Encryption on Phishing Emails [J]. ICISSP: PROCEEDINGS OF THE 7TH INTERNATIONAL CONFERENCE ON INFORMATION SYSTEMS SECURITY AND PRIVACY, 2021, : 384 - 390
- [47] Optimization Based Clustering Algorithms for Authorship Analysis of Phishing Emails [J]. Neural Processing Letters, 2017, 46 : 411 - 425
- [48] The Effects of Cue Utilization and Cognitive Load in the Detection of Phishing Emails [J]. FINANCIAL CRYPTOGRAPHY AND DATA SECURITY, FC 2020, 2020, 12063 : 47 - 55
- [49] Detecting Phishing Sites Using URLs Collected from Emails [J]. APPLIED SCIENCE AND PRECISION ENGINEERING INNOVATION, PTS 1 AND 2, 2014, 479-480 : 916 - +