Saved in:
| Main Authors: | Sharevski, Filipo, Loop, Jennifer Vander, Evans, Bill, Ponticello, Alexander |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2412.04014 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
How Blind and Low-Vision Users Manage Their Passwords
by: Ponticello, Alexander, et al.
Published: (2025)
by: Ponticello, Alexander, et al.
Published: (2025)
"Oh, sh*t! I actually opened the document!": An Empirical Study of the Experiences with Suspicious Emails in Virtual Reality Headsets
by: Sharevski, Filipo, et al.
Published: (2024)
by: Sharevski, Filipo, et al.
Published: (2024)
'Debunk-It-Yourself': Health Professionals' Strategies for Responding to Misinformation on TikTok
by: Sharevski, Filipo, et al.
Published: (2024)
by: Sharevski, Filipo, et al.
Published: (2024)
An Overview of 7726 User Reports: Uncovering SMS Scams and Scammer Strategies
by: Agarwal, Sharad, et al.
Published: (2025)
by: Agarwal, Sharad, et al.
Published: (2025)
PsyScam: A Benchmark for Psychological Techniques in Real-World Scams
by: Ma, Shang, et al.
Published: (2025)
by: Ma, Shang, et al.
Published: (2025)
ScamFerret: Detecting Scam Websites Autonomously with Large Language Models
by: Nakano, Hiroki, et al.
Published: (2025)
by: Nakano, Hiroki, et al.
Published: (2025)
ScamSweeper: Detecting Illegal Accounts in Web3 Scams via Transactions Analysis
by: Li, Xiaoqi, et al.
Published: (2025)
by: Li, Xiaoqi, et al.
Published: (2025)
An Explorative Study of Pig Butchering Scams
by: Acharya, Bhupendra, et al.
Published: (2024)
by: Acharya, Bhupendra, et al.
Published: (2024)
International Students and Scams: At Risk Abroad
by: Zhang, Katherine, et al.
Published: (2025)
by: Zhang, Katherine, et al.
Published: (2025)
Detecting Scams Using Large Language Models
by: Jiang, Liming
Published: (2024)
by: Jiang, Liming
Published: (2024)
"It Warned Me Just at the Right Moment": Exploring LLM-based Real-time Detection of Phone Scams
by: Shen, Zitong, et al.
Published: (2025)
by: Shen, Zitong, et al.
Published: (2025)
I Experienced More than 10 DeFi Scams: On DeFi Users' Perception of Security Breaches and Countermeasures
by: Liu, Mingyi, et al.
Published: (2024)
by: Liu, Mingyi, et al.
Published: (2024)
Digital Security -- A Question of Perspective. A Large-Scale Telephone Survey with Four At-Risk User Groups
by: Herbert, Franziska, et al.
Published: (2022)
by: Herbert, Franziska, et al.
Published: (2022)
The Trajectory of Romance Scams in the U.S
by: Herrera, LD, et al.
Published: (2024)
by: Herrera, LD, et al.
Published: (2024)
Can LLMs be Scammed? A Baseline Measurement Study
by: Sehwag, Udari Madhushani, et al.
Published: (2024)
by: Sehwag, Udari Madhushani, et al.
Published: (2024)
Anansi: Scalable Characterization of Message-Based Job Scams
by: Pitumpe, Abisheka, et al.
Published: (2026)
by: Pitumpe, Abisheka, et al.
Published: (2026)
Large Language Models for Code Analysis: Do LLMs Really Do Their Job?
by: Fang, Chongzhou, et al.
Published: (2023)
by: Fang, Chongzhou, et al.
Published: (2023)
Give and Take: An End-To-End Investigation of Giveaway Scam Conversion Rates
by: Liu, Enze, et al.
Published: (2024)
by: Liu, Enze, et al.
Published: (2024)
Beyond Metadata: Multimodal, Policy-Aware Detection of YouTube Scam Videos
by: Kulsum, Ummay, et al.
Published: (2025)
by: Kulsum, Ummay, et al.
Published: (2025)
From Programming Bugs to Multimillion-Dollar Scams: An Analysis of Trapdoor Tokens on Uniswap
by: Huynh, Phuong Duy, et al.
Published: (2023)
by: Huynh, Phuong Duy, et al.
Published: (2023)
LOKI: Proactively Discovering Online Scam Websites by Mining Toxic Search Queries
by: Paudel, Pujan, et al.
Published: (2025)
by: Paudel, Pujan, et al.
Published: (2025)
Scam2Prompt: A Scalable Framework for Auditing Malicious Scam Endpoints in Production LLMs
by: Chen, Zhiyang, et al.
Published: (2025)
by: Chen, Zhiyang, et al.
Published: (2025)
"Hello, is this Anna?": Unpacking the Lifecycle of Pig-Butchering Scams
by: Oak, Rajvardhan, et al.
Published: (2025)
by: Oak, Rajvardhan, et al.
Published: (2025)
Conning the Crypto Conman: End-to-End Analysis of Cryptocurrency-based Technical Support Scams
by: Acharya, Bhupendra, et al.
Published: (2024)
by: Acharya, Bhupendra, et al.
Published: (2024)
ScamDetect: Towards a Robust, Agnostic Framework to Uncover Threats in Smart Contracts
by: De Rosa, Pasquale, et al.
Published: (2025)
by: De Rosa, Pasquale, et al.
Published: (2025)
Beyond the Hype: A Large-Scale Empirical Analysis of On-Chain Transactions in NFT Scams
by: Li, Wenkai, et al.
Published: (2025)
by: Li, Wenkai, et al.
Published: (2025)
"Explain, Don't Just Warn!" -- A Real-Time Framework for Generating Phishing Warnings with Contextual Cues
by: Roy, Sayak Saha, et al.
Published: (2025)
by: Roy, Sayak Saha, et al.
Published: (2025)
Bridging the Protection Gap: Innovative Approaches to Shield Older Adults from AI-Enhanced Scams
by: Herrera, LD, et al.
Published: (2024)
by: Herrera, LD, et al.
Published: (2024)
Infrastructure Patterns in Toll Scam Domains: A Comprehensive Analysis of Cybercriminal Registration and Hosting Strategies
by: Munny, Morium Akter, et al.
Published: (2025)
by: Munny, Morium Akter, et al.
Published: (2025)
Slow is Fast! Dissecting Ethereum's Slow Liquidity Drain Scams
by: Tran, Minh Trung, et al.
Published: (2025)
by: Tran, Minh Trung, et al.
Published: (2025)
ScamChatBot: An End-to-End Analysis of Fake Account Recovery on Social Media via Chatbots
by: Acharya, Bhupendra, et al.
Published: (2024)
by: Acharya, Bhupendra, et al.
Published: (2024)
ScamAgents: How AI Agents Can Simulate Human-Level Scam Calls
by: Badhe, Sanket
Published: (2025)
by: Badhe, Sanket
Published: (2025)
Do Concept Replacement Techniques Really Erase Unacceptable Concepts?
by: Das, Anudeep, et al.
Published: (2025)
by: Das, Anudeep, et al.
Published: (2025)
Combating Phone Scams with LLM-based Detection: Where Do We Stand?
by: Shen, Zitong, et al.
Published: (2024)
by: Shen, Zitong, et al.
Published: (2024)
Modeling Behavioral Signals in Job Scams: A Human-Centered Security Study
by: Anagha, Goni, et al.
Published: (2026)
by: Anagha, Goni, et al.
Published: (2026)
Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data
by: Hod, Shlomi, et al.
Published: (2025)
by: Hod, Shlomi, et al.
Published: (2025)
Scam Shield: Multi-Model Voting and Fine-Tuned LLMs Against Adversarial Attacks
by: Chang, Chen-Wei, et al.
Published: (2025)
by: Chang, Chen-Wei, et al.
Published: (2025)
Jäger: Automated Telephone Call Traceback
by: Adei, David, et al.
Published: (2024)
by: Adei, David, et al.
Published: (2024)
Is Stateful Fuzzing Really Challenging?
by: Daniele, Cristian
Published: (2024)
by: Daniele, Cristian
Published: (2024)
Read This Paper to Get $50 Million:* An Analysis of Mobile Messaging Scams Using Reddit Data
by: Lu, Allison, et al.
Published: (2026)
by: Lu, Allison, et al.
Published: (2026)
Similar Items
-
How Blind and Low-Vision Users Manage Their Passwords
by: Ponticello, Alexander, et al.
Published: (2025) -
"Oh, sh*t! I actually opened the document!": An Empirical Study of the Experiences with Suspicious Emails in Virtual Reality Headsets
by: Sharevski, Filipo, et al.
Published: (2024) -
'Debunk-It-Yourself': Health Professionals' Strategies for Responding to Misinformation on TikTok
by: Sharevski, Filipo, et al.
Published: (2024) -
An Overview of 7726 User Reports: Uncovering SMS Scams and Scammer Strategies
by: Agarwal, Sharad, et al.
Published: (2025) -
PsyScam: A Benchmark for Psychological Techniques in Real-World Scams
by: Ma, Shang, et al.
Published: (2025)