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Gen AI: A Survey of Security and Privacy Threats
Authors (Affiliation): AKHIL DINESH JAIN (https://www.sakec.ac.in/), VASISTHA VED (https://www.sakec.ac.in/), ANISH KHADTARE (https://www.sakec.ac.in/), JAINAM CHHEDA (https://www.sakec.ac.in/), SARTHAK DESHMUKH (https://www.sakec.ac.in/), DR. NILAKSHI JAIN (https://www.sakec.ac.in/)
Abstract:

This paper provides a brief overview of the generation of artificial intelligence (generation AI), explaining its models, applications and operational processes. It explores the role of genetically modified artificial intelligence in cybersecurity and demonstrates its benefits and potential risks to the defender. The focus has been on emerging threats posed by AI generation. Also, a case study involving misleading advertisements illustrates the threat of deep-fakes. The study emphasizes the challenges faced by platforms in detecting advanced deep-fake content and regulatory obstacles in combating false advertising. The paper essentially emphasized the complexity of the Gen AI, its impact on security and the new serious threats and challenges it posed onto the realm of security.

Keywords: Artificial Intelligence Generation, Generation AI, Cybersecurity, Defender, Emerging Threats, Deep-fake Threats, Detection Challenges, Regulatory Obstacles, False Advertising, Security Impact.
Vol & Issue: VOL.3, ISSUE No.1, June 2024