PsyScam: A Benchmark for Psychological Techniques in Real-World Scams

21 May 2025

Papers citing "PsyScam: A Benchmark for Psychological Techniques in Real-World Scams"

6 / 6 papers shown

Title
Fraud-R1 : A Multi-Round Benchmark for Assessing the Robustness of LLM Against Augmented Fraud and Phishing Inducements Shu Yang Shenzhe Zhu Zeyu Wu Keyu Wang Junchi Yao Junchao Wu Lijie Hu Mengdi Li Derek F. Wong Di Wang 56 9 0 18 Feb 2025
DetoxBench: Benchmarking Large Language Models for Multitask Fraud & Abuse Detection Joymallya Chakraborty Wei Xia Anirban Majumder Dan Ma Walid Chaabene Naveed Janvekar 43 3 0 09 Sep 2024
Conning the Crypto Conman: End-to-End Analysis of Cryptocurrency-based Technical Support Scams Bhupendra Acharya Muhammad Saad Antonio Emanuele Cinà Lea Schonherr Hoang Dai Nguyen Adam Oest Phani Vadrevu Thorsten Holz 56 13 0 18 Jan 2024
RoBERTa: A Robustly Optimized BERT Pretraining Approach Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy M. Lewis Luke Zettlemoyer Veselin Stoyanov AIMat 686 24,557 0 26 Jul 2019
Cognitive Triaging of Phishing Attacks A. V. D. Heijden Luca Allodi 41 88 0 06 May 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.8K 95,229 0 11 Oct 2018