Measuring and Evaluating the Performance of Generative AI Models for Scam Detection | Paper Citation Record

Observation 1846cb54-903c-413d-b8e0-f2afea358857 · outbound

This paper cites Social-guard: Detecting scammers in online dating.

Measuring and Evaluating the Performance of Generative AI Models for Scam Detection Social-guard: Detecting scammers in online dating

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This paper cites An automatic detection and analysis of the bitcoin generator scam.

Measuring and Evaluating the Performance of Generative AI Models for Scam Detection An automatic detection and analysis of the bitcoin generator scam

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This paper cites game hack.

Measuring and Evaluating the Performance of Generative AI Models for Scam Detection game hack

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This paper cites hello. this is the irs calling.

Measuring and Evaluating the Performance of Generative AI Models for Scam Detection hello. this is the irs calling

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This paper cites Beyond phish: Toward detecting fraudulent e-commerce websites at scale.

Measuring and Evaluating the Performance of Generative AI Models for Scam Detection Beyond phish: Toward detecting fraudulent e-commerce websites at scale

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This paper cites Language models are few-shot learners.

Measuring and Evaluating the Performance of Generative AI Models for Scam Detection Language models are few-shot learners

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This paper cites Scam call detection using nlp and na¨ıve bayes classifier.INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT, 2024.

Measuring and Evaluating the Performance of Generative AI Models for Scam Detection Scam call detection using nlp and na¨ıve bayes classifier.INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT, 2024

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This paper cites Learning to detect and mea- sure fake ecommerce websites in search-engine results.

Measuring and Evaluating the Performance of Generative AI Models for Scam Detection Learning to detect and mea- sure fake ecommerce websites in search-engine results

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This paper cites Scam statistics, 2025.

Measuring and Evaluating the Performance of Generative AI Models for Scam Detection Scam statistics, 2025

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This paper cites Can ai keep you safe? a study of large language models for phishing detection.

Measuring and Evaluating the Performance of Generative AI Models for Scam Detection Can ai keep you safe? a study of large language models for phishing detection

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This paper cites Scam detection in twitter.

Measuring and Evaluating the Performance of Generative AI Models for Scam Detection Scam detection in twitter

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Observation 9963eebd-93d4-421a-bcd5-6ee1b397ffc9 · outbound

This paper cites New ftc data show a big jump in reported losses to fraud to $12.5 billion in 2024, 2025.

Measuring and Evaluating the Performance of Generative AI Models for Scam Detection New ftc data show a big jump in reported losses to fraud to $12.5 billion in 2024, 2025

Reference 12

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Observation 398bf4a2-88a3-4279-89c2-15dd9ad1c331 · outbound

This paper cites Understanding security issues in the nft ecosystem.

Measuring and Evaluating the Performance of Generative AI Models for Scam Detection Understanding security issues in the nft ecosystem

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Observation b8935ad8-3cb5-49b9-ab0b-903a8a14ae03 · outbound

This paper cites Hey chatgpt, is this message phishing? In2024 22nd Mediterranean Communication and Computer Networking Conference (MedComNet).

Measuring and Evaluating the Performance of Generative AI Models for Scam Detection Hey chatgpt, is this message phishing? In2024 22nd Mediterranean Communication and Computer Networking Conference (MedComNet)

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Observation 58683d87-9e09-4237-8cca-c15daf5cfccd · outbound

This paper cites PentestGPT: Evaluating and harnessing large language models for automated penetration testing.

Measuring and Evaluating the Performance of Generative AI Models for Scam Detection PentestGPT: Evaluating and harnessing large language models for automated penetration testing

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This paper cites PentestGPT: Evaluating and harnessing large language models for automated penetration testing.

Measuring and Evaluating the Performance of Generative AI Models for Scam Detection PentestGPT: Evaluating and harnessing large language models for automated penetration testing

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This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Measuring and Evaluating the Performance of Generative AI Models for Scam Detection BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

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This paper cites Large language models for code analysis: Do LLMs really do their job? In33rd USENIX Security Symposium (USENIX Security ’24), pages 829–846, 2024.

Measuring and Evaluating the Performance of Generative AI Models for Scam Detection Large language models for code analysis: Do LLMs really do their job? In33rd USENIX Security Symposium (USENIX Security ’24), pages 829–846, 2024

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This paper cites New study estimates as much as $75 billion in global victims’ losses to pig-butchering scam, 2024.

Measuring and Evaluating the Performance of Generative AI Models for Scam Detection New study estimates as much as $75 billion in global victims’ losses to pig-butchering scam, 2024

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This paper cites Feature Engineering vs BERT on Twitter Data.

Measuring and Evaluating the Performance of Generative AI Models for Scam Detection Feature Engineering vs BERT on Twitter Data

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Observation bd2fc01a-bd2b-41db-b2ef-e940cc20bc15 · outbound

This paper cites Comparing BERT against traditional machine learning text classification.

Measuring and Evaluating the Performance of Generative AI Models for Scam Detection Comparing BERT against traditional machine learning text classification

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This paper cites How do crypto flows finance slavery? the economics of pig butchering.The Economics of Pig Butchering (February 29, 2024), 2024.

Measuring and Evaluating the Performance of Generative AI Models for Scam Detection How do crypto flows finance slavery? the economics of pig butchering.The Economics of Pig Butchering (February 29, 2024), 2024

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This paper cites Incorporating BERT into Parallel Sequence Decoding with Adapters.

Measuring and Evaluating the Performance of Generative AI Models for Scam Detection Incorporating BERT into Parallel Sequence Decoding with Adapters

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This paper cites Llm- tikg: Threat intelligence knowledge graph construction utilizing large language model.Computers & Security, 145:103999, 2024.

Measuring and Evaluating the Performance of Generative AI Models for Scam Detection Llm- tikg: Threat intelligence knowledge graph construction utilizing large language model.Computers & Security, 145:103999, 2024

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This paper cites CMRxRecon: An open cardiac MRI dataset for the competition of accelerated image reconstruction.

Measuring and Evaluating the Performance of Generative AI Models for Scam Detection CMRxRecon: An open cardiac MRI dataset for the competition of accelerated image reconstruction

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This paper cites (security) assertions by large language models.IEEE Transactions on Information Forensics and Security, 19:4374–4389, 2024.

Measuring and Evaluating the Performance of Generative AI Models for Scam Detection (security) assertions by large language models.IEEE Transactions on Information Forensics and Security, 19:4374–4389, 2024

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This paper cites Surveylance: automatically detecting online survey scams.

Measuring and Evaluating the Performance of Generative AI Models for Scam Detection Surveylance: automatically detecting online survey scams

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Observation 827bc107-d174-4e8d-ad73-a31d3fcfa728 · outbound

This paper cites Chatphishdetector: Detecting phishing sites using large language models.IEEE Access, 2024.

Measuring and Evaluating the Performance of Generative AI Models for Scam Detection Chatphishdetector: Detecting phishing sites using large language models.IEEE Access, 2024

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Observation 27e85473-a24b-47d5-b3a4-7b0c85510721 · outbound

This paper cites Scamdog millionaire: Detecting e-commerce scams in the wild.

Measuring and Evaluating the Performance of Generative AI Models for Scam Detection Scamdog millionaire: Detecting e-commerce scams in the wild

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This paper cites From ML to LLM: Evaluating the Robustness of Phishing Webpage Detection Models against Adversarial Attacks.

Measuring and Evaluating the Performance of Generative AI Models for Scam Detection From ML to LLM: Evaluating the Robustness of Phishing Webpage Detection Models against Adversarial Attacks

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This paper cites Spam-T5: Benchmarking Large Language Models for Few-Shot Email Spam Detection.

Measuring and Evaluating the Performance of Generative AI Models for Scam Detection Spam-T5: Benchmarking Large Language Models for Few-Shot Email Spam Detection

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Measuring and Evaluating the Performance of Generative AI Models for Scam Detection White, and Sujay Ku- mar Jauhar

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This paper cites “hot” chatgpt: The promise of chatgpt in detecting and discriminating hateful, offensive, and toxic comments on social media.ACM Transactions on the Web, 18(2):1–36, 2024.

Measuring and Evaluating the Performance of Generative AI Models for Scam Detection “hot” chatgpt: The promise of chatgpt in detecting and discriminating hateful, offensive, and toxic comments on social media.ACM Transactions on the Web, 18(2):1–36, 2024

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This paper cites KnowPhish: Large language mod- els meet multimodal knowledge graphs for enhancing Reference-Based phishing detection.

Measuring and Evaluating the Performance of Generative AI Models for Scam Detection KnowPhish: Large language mod- els meet multimodal knowledge graphs for enhancing Reference-Based phishing detection

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Observation 0f9371ef-59f3-4b51-b1f7-16062666376d · outbound

This paper cites Exploring ChatGPT’s capabilities on vulnerability management.

Measuring and Evaluating the Performance of Generative AI Models for Scam Detection Exploring ChatGPT’s capabilities on vulnerability management

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This paper cites Exploring ChatGPT’s capabilities on vulnerability management.

Measuring and Evaluating the Performance of Generative AI Models for Scam Detection Exploring ChatGPT’s capabilities on vulnerability management

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Measuring and Evaluating the Performance of Generative AI Models for Scam Detection Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity

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Observation 8e52572e-951c-456c-9c1d-927d7e97d789 · outbound

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Measuring and Evaluating the Performance of Generative AI Models for Scam Detection Large language model guided protocol fuzzing

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This paper cites Dial one for scam: Analyzing and detecting technical support scams.

Measuring and Evaluating the Performance of Generative AI Models for Scam Detection Dial one for scam: Analyzing and detecting technical support scams

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Measuring and Evaluating the Performance of Generative AI Models for Scam Detection On sms phishing tactics and infrastructure

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Measuring and Evaluating the Performance of Generative AI Models for Scam Detection Norton genie your free ai-powered scam detector, 2024

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Measuring and Evaluating the Performance of Generative AI Models for Scam Detection Tranco: A Research-Oriented Top Sites Ranking Hardened Against Manipulation

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Measuring and Evaluating the Performance of Generative AI Models for Scam Detection Resource networks of pet scam websites

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Measuring and Evaluating the Performance of Generative AI Models for Scam Detection Reddit r/scams, 2024

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Measuring and Evaluating the Performance of Generative AI Models for Scam Detection From chatbots to phishbots?: Phishing scam generation in commercial large language models

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Measuring and Evaluating the Performance of Generative AI Models for Scam Detection Investigating evasive techniques in sms spam filtering: A comparative analysis of machine learning models.IEEE Access, 2024

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Observation 1e764ce7-ad6c-46fa-9732-9040597edff0 · outbound

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Measuring and Evaluating the Performance of Generative AI Models for Scam Detection Your anti-scam partner, keeping you safe!, 2024

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Measuring and Evaluating the Performance of Generative AI Models for Scam Detection Detection of internet scam using logistic regression

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Observation 601baea8-3eb8-4ad8-b129-fd9f9e52cda4 · outbound

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Measuring and Evaluating the Performance of Generative AI Models for Scam Detection Outside the closed world: On using machine learning for network intrusion detection

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Measuring and Evaluating the Performance of Generative AI Models for Scam Detection Exposing search and advertisement abuse tactics and infras- tructure of technical support scammers

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Measuring and Evaluating the Performance of Generative AI Models for Scam Detection Automatically dismantling online dating fraud.IEEE Transactions on Information Forensics and Security, 15:1128–1137, 2019

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Measuring and Evaluating the Performance of Generative AI Models for Scam Detection An innovative GPT-based open-source intelligence using historical cyber incident reports.Natural Language Processing (NLP) Journal, page 100074, 2024

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Measuring and Evaluating the Performance of Generative AI Models for Scam Detection LLaMA: Open and Efficient Foundation Language Models

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Measuring and Evaluating the Performance of Generative AI Models for Scam Detection Attention is all you need.Advances in neural information processing systems, 30, 2017

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Observation c5add03d-2cc3-4f00-aadc-6832d2d94d86 · outbound

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Measuring and Evaluating the Performance of Generative AI Models for Scam Detection Counterfighting counterfeit: detecting and taking down fraudulent webshops at a cctld

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Observation a06d1c53-c968-4e6b-a39a-342c498d8a2b · outbound

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Measuring and Evaluating the Performance of Generative AI Models for Scam Detection Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

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This paper cites Who are the phishers? phishing scam detection on ethereum via network embedding.IEEE Transactions on Systems, Man, and Cybernetics: Systems, 52:1156–1166, 2019.

Measuring and Evaluating the Performance of Generative AI Models for Scam Detection Who are the phishers? phishing scam detection on ethereum via network embedding.IEEE Transactions on Systems, Man, and Cybernetics: Systems, 52:1156–1166, 2019

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