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From ChatGPT to ThreatGPT: Impact of Generative AI in Cybersecurity and Privacy

📅 Published: January 1, 2023 👤 Maanak Gupta, Charankumar Akiri, Kshitiz Aryal et al. 📖 IEEE Access 📊 690 citations
AI-Generated Summary

Undoubtedly, the evolution of Generative AI (GenAI) models has been the highlight of digital transformation in the year 2022. We will also discuss the social, legal, and ethical implications of ChatGPT.

⚡ This is an original paraphrased summary — not copied from the abstract. Full paper available at the source link below.

Key Findings
  • 1 As the different GenAI models like ChatGPT and Google Bard continue to foster their complexity and capability, it’s critical to understand its consequences from a cybersecurity perspective.
  • 2 Several instances recently have demonstrated the use of GenAI tools in both the defensive and offensive side of cybersecurity, and focusing on the social, ethical and privacy implications this technology possesses.
  • 3 This research paper highlights the limitations, challenges, potential risks, and opportunities of GenAI in the domain of cybersecurity and privacy.
Why It Matters

This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.

This summary is based on publicly available metadata and abstract. For the full research paper, visit the original source:

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Article Details
Source OpenAlex
Category 🤖 Artificial Intelligence
Published Jan 1, 2023
Journal IEEE Access
DOI 10.1109/access.2023.3300381
Citations 690
Authors Maanak Gupta, Charankumar Akiri, Kshitiz Aryal, Eli Parker, Lopamudra Praharaj