Скачать или смотреть Cracking the Code of Deepfake and Voice Clone Detection with Pindrop

Deepfakes and voice clones are showing up in movies, television, and video game chats, on YouTube and TikTok, and increasingly in fraud schemes. Vijay Balusubramaniyan, founder and CEO of Pindrop, breaks down how deepfakes are used in fraud and how the technology determines what is real and what is fake. Bret Kinsella also reviews several deepfake and voice clone examples and market research from a recent survey of 2,000 consumers.

Pindrop has been at the forefront of deepfake detection, filing numerous patents over the last eight years. Vijay discusses the evolution of voice authentication, its significance for customer experience, and the dramatic rise in consumer adoption post-COVID-19. He also touches on how fraud can affect individuals and how technologies like deepfakes are becoming an advanced tool in the fraudster's arsenal.

Video Sections:
[00:00] Voice Clones from a Few Seconds of Audio
[01:27] Pindrop's Mission and Services
[02:11] Benefits of Voice Authentication
[03:00] Customer Preferences Shifted During COVID-19
[04:59] User Demand for Better Authentication
[06:02] Consequences of Fraud on Consumers
[07:13] The Evolution of Fraud Techniques
[11:33] Deep Fake and Voice Clone Demo - Morgan Freeman
[13:44] Human Versus Synthetic Voices
[15:35] The Risks of Voice Cloning in Fraud
[17:07] Deep Fake and Voice Clone Demo - Deep Tom Cruise
[19:10] Voice Authentication Versus Deepfakes
[20:01] Consumer Data and Voice Authentication
[20:22] Deep Fake and Voice Clone Demo - CNBC Anchor
[23:01] The Role of Liveness Detection
[26:26] Technology and Patents Behind Deepfake Detection
[27:00] Spatial and Temporal Artifacts in Deepfake Detection
[28:03] Giraffe Man: Analyzing Deepfake Audio Anomalies
[31:23] New Markers in Deepfake Detection
[33:30] Deepfake Detection Scenarios and Types of Fraud
[42:41] Consumer Awareness of Deepfake and Voice Clones
[45:10] Encounter Frequencies of Deepfakes and Voice Clones by Channel
[48:49] Concern Levels Around Deepfakes and Voice Clones
[53:03] Impact of Deepfakes on Trust and Misinformation
[55:25] Consumer Expectations Versus Industry Preparedness for Deepfakes
[57:40] Attacker Playbooks and the Urgency for Defense Mechanisms
[58:13] Generative AI, Scalability, and Potential for Swarm Attacks
[58:59] Automation and Scalability of Deepfake Tools
[1:00:21] Zero-day Deepfake Generators and Enterprise Challenges
[1:01:48] Consumer Interest in Voice Authentication
[1:02:07] High Concern Among Educated and Affluent Consumers
[1:04:14] Final Remarks: Addressing Deepfake Risks with Proper Technology