A Conversation with Shiladitya Sircar from BlackBerry on DeepFake Threats

This podcast episode delves into the escalating threats posed by Deepfakes, exploring their transition from rudimentary phishing tactics to sophisticated identity fraud and manipulation, emphasizing the critical need for comprehensive defense measures, industry collaboration, and standardization to counter the pervasive and insidious impact of this technology on trust and perception.

Outlines

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Unsupervised Learning

Deepfakes: The Evolving Threat Landscape

Deepfakes in Attack Chains: Targeting Trust and Perception

Defending Against Deepfakes: A Multi-Layered Approach

The Need for Standardization and Collaboration

The Future of Deepfakes: Hyper-Realistic Content and Personalized Attacks

A Conversation with Shiladitya Sircar from BlackBerry on DeepFake Threats

Unsupervised Learning

00:00Deepfakes: The Evolving Threat Landscape

Deepfakes: The Evolving Threat Landscape

06:07Deepfakes in Attack Chains: Targeting Trust and Perception

Deepfakes in Attack Chains: Targeting Trust and Perception

14:05Defending Against Deepfakes: A Multi-Layered Approach

Defending Against Deepfakes: A Multi-Layered Approach

26:53The Need for Standardization and Collaboration

The Need for Standardization and Collaboration

38:17The Future of Deepfakes: Hyper-Realistic Content and Personalized Attacks

The Future of Deepfakes: Hyper-Realistic Content and Personalized Attacks