Deepfake Attack
Deepfake attacks, the malicious manipulation of media using artificial intelligence, pose a significant threat to authenticity and trust. Current research focuses on developing robust detection methods, exploring various model architectures including deep neural networks and vision-language models, and investigating proactive defense strategies like watermarking and physiological signal analysis. These efforts aim to improve the accuracy and generalizability of deepfake detection, particularly against evolving attack techniques and unseen deepfakes, with implications for cybersecurity, media verification, and law enforcement.
Papers
November 12, 2024
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August 23, 2022