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Phishing attacks have inflicted substantial losses on individuals and businesses alike, necessitating the development of robust and efficient automated phishing detection approaches.
Psychological Insights and Perspectives
Robert Cialdini and Brad J. B. Sagarin · 2005
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Detecting phishing web pages with visual similarity assessment based on earth mover’s distance (emd)
Anthony Y. Fu, Liu Wenyin, and Xiaotie Deng · 2006
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On the effectiveness of techniques to detect phishing sites
Christian Ludl, Sean McAllister, Engin Kirda, and Christopher Kruegel · 2007
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The ghost in the browser: Analysis of web-based malware
Niels Provos, Dean McNamee, Panayiotis Mavrommatis, Ke Wang, and Nagendra Modadugu · 2007
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Phishzoo: Detecting phishing websites by looking at them
Sadia Afroz and Rachel Greenstadt · 2011
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Cantina+: A feature-rich machine learning framework for detecting phishing web sites
Guang Xiang, Jason Hong, Carolyn P. Rose, and Lorrie Cranor · 2011
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Wikidata: A free collaborative knowledgebase
Denny Vrandečić and Markus Krötzsch · 2014
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On the character of phishing urls: Accurate and robust statistical learning classifiers
Rakesh Verma and Keith Dyer · 2015
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One knowledge graph to rule them all? analyzing the differences between dbpedia, yago, wikidata & co
Daniel Ringler and Heiko Paulheim · 2017
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Urlnet: Learning a url representation with deep learning for malicious url detection, 2018
Hung Le, Quang Pham, Doyen Sahoo, and Steven C. H. Hoi · 2018
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A keyword-based combination approach for detecting phishing webpages
Yan Ding, Nurbol Luktarhan, Keqin Li, and Wushour Slamu · 2019
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A stacking model using url and html features for phishing webpage detection
Yukun Li, Zhenguo Yang, Xu Chen, Huaping Yuan, and Wenyin Liu · 2019
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Comparing dbpedia, wikidata, and yago for web information retrieval
Sini Govinda Pillai, Lay-Ki Soon, and Su-Cheng Haw · 2019
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Tranco: A research-oriented top sites ranking hardened against manipulation
Victor Le Pochat, Tom Van Goethem, Samaneh Tajalizadehkhoob, Maciej Korczynski, and Wouter Joosen · 2019
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Sticking to the facts: Confident decoding for faithful data-to-text generation., 2019
Ran Tian, Shashi Narayan, Thibault Sellam, and Ankur P Parikh · 2019
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Visualphishnet: Zero-day phishing website detection by visual similarity
Sahar Abdelnabi, Katharina Krombholz, and Mario Fritz · 2020
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Unsupervised cross lingual representation learning at scale
Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Francisco Guzmán Guillaume Wenzek, Edouard Grave, Myle Ott, Luke Zettlemoyer, and Veselin Stoyanov · 2020
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Retrieval-augmented generation for knowledge-intensive nlp tasks
Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, et al · 2020
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Evaluating large language models trained on code
Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Ponde de Oliveira Pinto, Jared Kaplan, Harri Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, et al · 2021
Cited alongside, same era.
Hinphish: An effective phishing detection approach based on heterogeneous information networks
Bingyang Guo, Yunyi Zhang, Chengxi Xu, Fan Shi, Yuwei Li, and Min Zhang · 2021
Cited alongside, same era.
D-fence: A flexible, efficient, and comprehensive phishing email detection system
Jehyun Lee, Farren Tang, Pingxiao Ye, Fahim Abbasi, Phil Hay, and Dinil Mon Divakaran · 2021
Cited alongside, same era.
Phishpedia: A hybrid deep learning based approach to visually identify phishing webpages
Yun Lin, Ruofan Liu, Dinil Mon Divakaran, Jun Yang Ng, Qing Zhou Chan, Yiwen Lu, Yuxuan Si, Fan Zhang, and Jin Song Dong · 2021
Cited alongside, same era.
Urltran: Improving phishing url detection using transformers
Pranav Maneriker, Jack W. Stokes, Edir Garcia Lazo, Diana Carutasu, Farid Tajaddodianfar, and Arun Gururajan · 2021
Large language models struggle to learn long-tail knowledge
Nikhil Kandpal, Haikang Deng, Adam Roberts, Eric Wallace, and Colin Raffel · 2023
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Detecting phishing sites using chatgpt, 2023
Takashi Koide, Naoki Fukushi, Hiroki Nakano, and Daiki Chiba · 2023
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Knowledge expansion and counterfactual interaction for Reference-Based phishing detection
Ruofan Liu, Yun Lin, Yifan Zhang, Penn Han Lee, and Jin Song Dong · 2023
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Prompt injection attacks and defenses in llm-integrated applications, 2023
Yupei Liu, Yuqi Jia, Runpeng Geng, Jinyuan Jia, and Neil Zhenqiang Gong · 2023
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When not to trust language models: Investigating effectiveness of parametric and non-parametric memories
Alex Mallen, Akari Asai, Victor Zhong, Rajarshi Das, Daniel Khashabi, and Hannaneh Hajishirzi · 2023
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Cited alongside, same era.
Cybersecurity threat trends report, 2022
Cisco · 2022
Cited alongside, same era.
Targeted phishing campaigns using large scale language models
Rabimba Karanjai · 2022
Cited alongside, same era.
Internet-augmented dialogue generation
Mojtaba Komeili, Kurt Shuster, and Jason Weston · 2022
Cited alongside, same era.
Inferring phishing intention via webpage appearance and dynamics: A deep vision based approach
Ruofan Liu, Yun Lin, Xianglin Yang, Siang Hwee Ng, Dinil Mon Divakaran, and Jin Song Dong · 2022
Cited alongside, same era.
Webgpt: Browser-assisted question-answering with human feedback, 2022
Reiichiro Nakano, Jacob Hilton, Suchir Balaji, Jeff Wu, Long Ouyang, Christina Kim, Christopher Hesse, Shantanu Jain, Vineet Kosaraju, William Saunders, Xu Jiang, Karl Cobbe, Tyna Eloundou, Gretchen Krueger, Kevin Button, Matthew Knight, Benjamin Chess, and John Schulman · 2022
Cited alongside, same era.
Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al · 2023
Cited alongside, same era.
The global state of scams report, 2023
Global Anti-Scam Alliance · 2023
Cited alongside, same era.
Chatgpt versus traditional question answering for knowledge graphs: Current status and future directions towards knowledge graph chatbots, 2023
Reham Omar, Omij Mangukiya, Panos Kalnis, and Essam Mansour · 2023
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From chatbots to phishbots?–preventing phishing scams created using chatgpt, google bard and claude
Sayak Saha Roy, Poojitha Thota, Krishna Vamsi Naragam, and Shirin Nilizadeh · 2023
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Toolformer: Language models can teach themselves to use tools, 2023
Timo Schick, Jane Dwivedi-Yu, Roberto Dessì, Roberta Raileanu, Maria Lomeli, Luke Zettlemoyer, Nicola Cancedda, and Thomas Scialom · 2023
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Trusting your evidence: Hallucinate less with context-aware decoding, 2023
Weijia Shi, Xiaochuang Han, Mike Lewis, Luke Zettlemoyer Yulia Tsvetkov, and Scott Wen tau Yih · 2023
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Exploring ocr capabilities of gpt-4v(ision) : A quantitative and in-depth evaluation, 2023
Yongxin Shi, Dezhi Peng, Wenhui Liao, Zening Lin, Xinhong Chen, Chongyu Liu, Yuyi Zhang, and Lianwen Jin · 2023
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Head-to-tail: How knowledgeable are large language models (llm)? a.k.a. will llms replace knowledge graphs?, 2023
Kai Sun, Yifan Ethan Xu, Hanwen Zha, Yue Liu, and Xin Luna Dong · 2023
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Knowledgpt: Enhancing large language models with retrieval and storage access on knowledge bases, 2023
Xintao Wang, Qianwen Yang, Yongting Qiu, Jiaqing Liang, Qianyu He, Zhouhong Gu, Yanghua Xiao, and Wei Wang · 2023
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A survey on multimodal large language models
Shukang Yin, Chaoyou Fu, Sirui Zhao, Ke Li, Xing Sun, Tong Xu, and Enhong Chen · 2023
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Phishing or not phishing? a survey on the detection of phishing websites
Rasha Zieni, Luisa Massari, and Maria Carla Calzarossa · 2023
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Zscaler threatlabz 2023 phishing report, 2023
Zscaler · 2023
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Mazal Bethany, Athanasios Galiopoulos, Emet Bethany, Mohammad Bahrami Karkevandi, Nishant Vishwamitra, and Peyman Najafirad · 2024
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Unifying large language models and knowledge graphs: A roadmap
Shirui Pan, Linhao Luo, Yufei Wang, Chen Chen, Jiapu Wang, and Xindong Wu · 2024
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A comprehensive survey of hallucination mitigation techniques in large language models
SM Tonmoy, SM Zaman, Vinija Jain, Anku Rani, Vipula Rawte, Aman Chadha, and Amitava Das · 2024
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