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Recent advancements in Large Language Models (LLMs) have significantly enhanced the capabilities of AI-Powered Search Engines (AIPSEs), offering precise and efficient responses by integrating external databases with pre-existing knowledge.
Weighted kappa: Nominal scale agreement provision for scaled disagreement or partial credit
Jacob Cohen · 1968
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J Richard Landis and Gary G Koch · 1977
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Visual-similarity-based phishing detection
Eric Medvet, Engin Kirda, and Christopher Kruegel · 2008
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Beyond blacklists: learning to detect malicious web sites from suspicious urls
Justin Ma, Lawrence K. Saul, Stefan Savage, and Geoffrey M. Voelker · 2009
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Intelligent semantic web search engines: A brief survey
G. Madhu, A. Govardhan, and T. V. Rajinikanth · 2011
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A survey on semantic web search engine
Govathoti Sudeepthi, Guttula Anuradha, and M Surendra Prasad Babu · 2012
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Xgboost: A scalable tree boosting system
Tianqi Chen and Carlos Guestrin · 2016
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Detecting malicious urls using lexical analysis
Mohammad Saiful Islam Mamun, Mohammad Ahmad Rathore, Arash Habibi Lashkari, Natalia Stakhanova, and Ali A. Ghorbani · 2016
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Phishing-alarm: Robust and efficient phishing detection via page component similarity
Jian Mao, Wenqian Tian, Pei Li, Tao Wei, and Zhenkai Liang · 2017
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Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Ł ukasz Kaiser, and Illia Polosukhin · 2017
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Urlnet: Learning a url representation with deep learning for malicious url detection
Hung Le, Quang Pham, Doyen Sahoo, and Steven C. H. Hoi · 2018
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Hunting malicious tls certificates with deep neural networks
Ivan Torroledo, Luis David Camacho, and Alejandro Correa Bahnsen · 2018
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A survey of url-based phishing detection
Eint Sandi Aung, Chaw Thet Zan, and Hayato Yamana · 2019
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A machine learning based approach for phishing detection using hyperlinks information
Ankit Kumar Jain and B. B. Gupta · 2019
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Detection of phishing websites using an efficient feature-based machine learning framework
Routhu Srinivasa Rao and Alwyn Roshan Pais · 2019
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A brief review on search engine optimization
Dushyant Sharma, Rishabh Shukla, Anil Kumar Giri, and Sumit Kumar · 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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Phishing attacks detection using machine learning approach
Mohammad Nazmul Alam, Dhiman Sarma, Farzana Firoz Lima, Ishita Saha, Rubaiath-E Ulfath, and Sohrab Hossain · 2020
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Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 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, Sebastian Riedel, and Douwe Kiela · 2020
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Efficient deep learning techniques for the detection of phishing websites
M. Somesha, Alwyn Roshan Pais, Routhu Srinivasa Rao, and Vikram Singh Rathour · 2020
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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
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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
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Ignore previous prompt: Attack techniques for language models
Fábio Perez and Ian Ribeiro · 2022
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A comprehensive survey on poisoning attacks and countermeasures in machine learning
Zhiyi Tian, Lei Cui, Jie Liang, and Shui Yu · 2022
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Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed Chi, Quoc V Le, Denny Zhou, et al · 2022
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Data poisoning attacks against machine learning algorithms
Fahri Anıl Yerlikaya and Şerif Bahtiyar · 2022
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A survey of intelligent detection designs of html url phishing attacks
Sultan Asiri, Yang Xiao, Saleh Alzahrani, Shuhui Li, and Tieshan Li · 2023
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Not what you’ve signed up for: Compromising real-world llm-integrated applications with indirect prompt injection
Kai Greshake, Sahar Abdelnabi, Shailesh Mishra, Christoph Endres, Thorsten Holz, and Mario Fritz · 2023
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Survey of hallucination in natural language generation
Ziwei Ji, Nayeon Lee, Rita Frieske, Tiezheng Yu, Dan Su, Yan Xu, Etsuko Ishii, Ye Jin Bang, Andrea Madotto, and Pascale Fung · 2023
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Sofia Eleni Spatharioti, David M. Rothschild, Daniel G. Goldstein, and Jake M. Hofman · 2023
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