Technical Countermeasures to Deepfakes

Technical Countermeasures to Deepfakes

Effective countermeasures for malicious deepfakes fall into four broad categories of legislative action and regulations, platform policies…The main objective of any countermeasure to mitigating malicious synthetic media’s negative societal impact must be two-fold. One, to reduce the exposure to malicious deepfakes and second, to minimize the damage it can inflict.

ffective countermeasures for malicious deepfakes fall into four broad categories of legislative action and regulations, platform policies and governance, technological intervention, and medial literacy.

The main objective of any countermeasure to mitigating malicious synthetic media’s negative societal impact must be two-fold. One, to reduce the exposure to malicious deepfakes and second, to minimize the damage it can inflict.

To defend the truth and secure freedom of expression, we need a multi-stakeholder and multimodal approach. Collaborative actions and collective techniques across legislative regulations, platform policies, technology countermeasures, and media literacy approaches must provide an effective and ethical response to the threat of malicious deepfakes.

In this article, I will share some of the technical countermeasures to deepfakes.

I will share my thoughts on Legislative, Platform policies, and Media Literacy countermeasures in a future post.

Since Deepfakes are created using AI, everyone’s first inclination and a simpler assumption are to find a technology solution as a countermeasure to a technical problem. The technical countermeasures are not simple and are immediately evident as the technological development continues to outpace what is possible by AI and GANs.

Technical solutions for deepfakes are categorized into Media Authentication, Provenance, and Detection.

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