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.

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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
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article

Gen-AI for User Safety: A Survey

Pranjul Yadav, Mohit Sharma, Akshar Prabhu Desai, Mohammad Luqman et al.
2 citations
Anomaly Detection Techniques and Applications
0.69
article

Gen-AI for User Safety: A Survey

Pranjul Yadav, Mohit Sharma, Akshar Prabhu Desai, Mohammad Luqman, Tejasvi Ravi, Nithya Kota
article en
2 citations

Abstract

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.

Google (United States) (US)
Openalex Percentile: Top 22%
Anomaly Detection Techniques and Applications
0.69
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