HIGHLIGHTS
- What: The aims of this review paper are to critically examine recent trends in FIA techniques, identify the limitations of existing approaches, and propose avenues for enhancing the capabilities of manipulation detection algorithms. By delving into the distinctions between image tampering, manipulation, and forgery, the research aims to shed light on the complexities of detecting and mitigating digital face manipulations. The paper seeks to address the pressing need for robust FIA techniques in the face of evolving manipulation methods, emphasizing the importance of authenticity and trust in facial images across various domains. The paper has provided an . . .

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