Gen-AI for User Safety: A Survey
In this manuscript, we provide a comprehensive overview of the various work done while using Gen-AI techniques w.r.t user safety. In particular, we first provide the various domains (e.g. phishing, malware, content moderation, counterfeit, physical safety) across which Gen-AI techniques have been applied. Next, we provide how Gen-AI techniques can be used in conjunction with various data modalities i.e. text, images, videos, audio, executable binaries to detect violations of user-safety. Further, also provide an overview of how Gen-AI techniques can be used in an adversarial setting. We believe that this work represents the first summarization of Gen-AI techniques for user-safety.
Authors
- Pranjul Yadav (ORCID: https://orcid.org/0000-0002-7860-5830)
- Mohit Sharma (ORCID: https://orcid.org/0000-0002-6045-9716)
- Akshar Prabhu Desai
- Mohammad Luqman
- Tejasvi Ravi
- Nithya Kota
Institutions
- Google (United States) (US)
Publication Details
- Published
- 2024-12-15
- DOI
- https://doi.org/10.1109/bigdata62323.2024.10825656
- Citations
- 2
- Primary Topic
- Anomaly Detection Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.69