A new survey paper details the dual-use risks of large language models (LLMs) and generative AI in cybersecurity and privacy. The paper highlights how these technologies can be used for both advanced defense mechanisms, such as real-time threat detection and secure code generation, and for sophisticated attacks, including AI-generated malware. It notes a significant increase in LLM-generated malware, estimating it comprised 50% of detected threats by 2025. The research synthesizes insights from over 70 sources and offers recommendations for responsible deployment, such as model watermarking and adversarial defense. AI
IMPACT Highlights the critical need for advanced security frameworks and responsible AI deployment to counter evolving AI-driven cyber threats.
RANK_REASON The cluster contains a survey paper published on arXiv detailing research findings and recommendations.
- AI-generated malware
- Anthropic
- ChatGPT
- Claude
- Copilot
- explainable AI
- Gemini
- Generative AI
- Large Language Models
- LLaMA
- Meta
- Microsoft
- OpenAI
- SAFE Framework
- Stability AI
- Stable Diffusion
- Cybersecurity
- Google Play Protect
- Microsoft Defender
- Privacy
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