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Discussion Paper: The Threat of Real Time Deepfakes

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arxiv 2306.02487 v1 pith:HA4WMWKE submitted 2023-06-04 cs.AI cs.CRcs.CV

classification cs.AIcs.CRcs.CV
keywords deepfakestechnologythreatattackersattacksusedabilityable
verification ladder T0 review T1 audit T2 compute T3 formal

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Generative deep learning models are able to create realistic audio and video. This technology has been used to impersonate the faces and voices of individuals. These ``deepfakes'' are being used to spread misinformation, enable scams, perform fraud, and blackmail the innocent. The technology continues to advance and today attackers have the ability to generate deepfakes in real-time. This new capability poses a significant threat to society as attackers begin to exploit the technology in advances social engineering attacks. In this paper, we discuss the implications of this emerging threat, identify the challenges with preventing these attacks and suggest a better direction for researching stronger defences.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Deepfake Technology Unveiled: The Commoditization of AI and Its Impact on Digital Trust

    cs.CY 2025-01 unverdicted novelty 2.0 of 10

    A hands-on demonstration that realistic deepfakes can be made for under $160 using Runway, Rope, and ElevenLabs, with a review of the fraud and disinformation risks.

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