OWASP LLM Top 10: DeepFakeThreat

# Deepfake Threat

**Authors:**  
Ken Huang, Ads - GangGreenTemperTatum

## Dataset
- **[Deepfake Detection Challenge Dataset](https://www.kaggle.com/c/deepfake-detection-challenge/data):** A large dataset of real and fake videos to support deepfake detection research.
- **[DFDC (Deepfake Detection Challenge) Preview Dataset](https://ai.meta.com/datasets/disc21-dataset/):** A dataset provided by Facebook for developing and testing deepfake detection algorithms.
- **[UADFV (Deepfake Video Detection Dataset)](https://github.com/cuihaoleo/kaggle-dfdc):** A dataset containing deepfake videos for research on detection methods.

## Research Papers and Relevant Research Blogs
1. **Research Paper:** [Dangers of Deepfake: What to Watch For](https://uit.stanford.edu/news/dangers-deepfake-what-watch)
   - _Authors:_ Stanford
   - _Abstract:_ In the past few years, artificial intelligence technology has crossed a threshold with the capability to make people look and sound like other people.

2. **Research Paper:** [Adversarially Robust Deepfake Detection via Adversarial Feature Similarity Learning](https://arxiv.org/html/2403.08806v1)
   - _Authors:_ Sarwar Khan, Jun-Cheng Chen, Wen-Hung Liao, Chu-Song Chen
   - _Abstract:_ Extensive experiments on popular deepfake datasets.

3. **Research Blog:** [Cybersecurity, Deepfakes, and the Human Risk of AI Fraud](https://www.govtech.com/security/cybersecurity-deepfakes-and-the-human-risk-of-ai-fraud)
   - _Author:_ Government Technology
   - _Description:_ Examines the risks associated with deepfakes in cybersecurity and provides strategies for mitigation.

4. **Research Blog:** [The Rise of Deepfake Phishing Attacks](https://bufferzonesecurity.com/the-rise-of-deepfake-phishing-attacks/)
   - _Author:_ BufferZone Security
   - _Description:_ Discusses the increasing prevalence of deepfake phishing attacks and offers prevention tips.

5. **Research Paper:** [Deep Learning for Deepfakes Creation and Detection: A Survey](https://arxiv.org/abs/1909.11573)
   - _Authors:_ Various
   - _Abstract:_ Provides an overview of current deepfake detection methods and their effectiveness.

## Real-World Examples
1. **Example #1:** [UK COMPANY SCAMMED $25 MILLION VIA DEEPFAKES](https://www.cnn.com/2024/02/04/asia/deepfake-cfo-scam-hong-kong-intl-hnk/index.html)
   - _Source:_ CNN
   - _Description:_ A UK company was scammed out of $25 million using deepfake technology.

2. **Example #2:** [‘Everyone looked real’: multinational firm’s Hong Kong office loses HK$200 million after scammers stage deepfake video meeting](https://www.scmp.com/news/hong-kong/law-and-crime/article/3250851/everyone-looked-real-multinational-firms-hong-kong-office-loses-hk200-million-after-scammers-stage)
   - _Source:_ South China Morning Post
   - _Description:_ Scammers used a deepfake video meeting to steal HK$200 million from a multinational firm.

3. **Example #3:** [Crypto Projects Scammed with Deepfake AI Video of Binance Executive](https://www.bitdefender.com/blog/hotforsecurity/crypto-projects-scammed-with-deepfake-ai-video-of-binance-executive/)
   - _Source:_ Bitdefender
   - _Description:_ Crypto projects were scammed using a deepfake AI video of a Binance executive.

4. **Example #4:** [Fraudsters Used AI to Mimic CEO’s Voice in Unusual Cybercrime Case](https://www.wsj.com/articles/fraudsters-use-ai-to-mimic-ceos-voice-in-unusual-cybercrime-case[PII_REDACTED]2)
   - _Source:_ Wall Street Journal
   - _Description:_ Fraudsters used AI to mimic a CEO's voice in a cybercrime case, leading to significant financial loss.

5. **Example #5:** [Deepfake on the Rise](https://www.techradar.com/pro/security/deepfake-threats-are-on-the-rise-new-research-shows-worrying-rise-in-dangerous-new-scams)
   - _Source:_ TechRadar
   - _Description:_ Deepfake scam involving fake identities and manipulated videos.


**Note:** This document outlines the risks and strategies for addressing deepfake threats in digital security, providing a foundation for further research and practical implementation.