The Emerging Threats of Deepfake Attacks and Countermeasures
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Abstract (arXiv)
Deepfake technology (DT) has taken a new level of sophistication. Cybercriminals now can manipulate sounds, images, and videos to defraud and misinform individuals and businesses. This represents a growing threat to international institutions and individuals which needs to be addressed. This paper provides an overview of deepfakes, their benefits to society, and how DT works. Highlights the threats that are presented by deepfakes to businesses, politics, and judicial systems worldwide. Additionally, the paper will explore potential solutions to deepfakes and conclude with future research direction.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 14 Dec 2020.
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Citing papers per year: 2021: 1; 2022: 1; 2023: 0; 2024: 0; 2025: 3.
5 papers.
- 2022Seeing is Living? Rethinking the Security of Facial Liveness Verification in the Deepfake Eracited by 26
- 2025LLMs unlock new paths to monetizing exploitscited by 5
- 2025XAttnMark: Learning Robust Audio Watermarking with Cross-Attentioncited by 3
- 2021Creation and Detection of German Voice Deepfakescited by 0
- 2025SpectraNet: FFT-assisted Deep Learning Classifier for Deepfake Face Detectioncited by 0
- 2025SpectraNet: FFT-assisted Deep Learning Classifier for Deepfake Face Detection24 Nov 2025
- 2025LLMs unlock new paths to monetizing exploits16 May 2025
- 2025XAttnMark: Learning Robust Audio Watermarking with Cross-Attention6 Feb 2025
- 2022Seeing is Living? Rethinking the Security of Facial Liveness Verification in the Deepfake Era22 Feb 2022
- 2021Creation and Detection of German Voice Deepfakes2 Aug 2021