
Disrupting DeepFakes: Adversarial Attacks Against Conditional Image Translation Networks with Nataniel Ruiz - #375
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
00:00
Navigating Machine Learning and Deepfake Challenges
This chapter chronicles the speaker's journey into machine learning, focusing on an internship in computer vision and their master's research on autism behaviors. It highlights the dual-edged sword of technological advancements in image translation networks and the ethical implications surrounding deepfakes. The discussion also uncovers methods to defend against manipulative deepfake technology through adversarial attacks, emphasizing the importance of counteracting its potentially harmful effects.
Transcript
Play full episode