BadEncoder - Backdoor Attacks to Pre-trained Encoders in Self-Supervised Learning

BadEncoder - Backdoor Attacks to Pre-trained Encoders in Self-Supervised Learning

Explore a 22-minute IEEE conference talk that delves into the concept of BadEncoder, focusing on backdoor attacks to pre-trained encoders in self-supervised learning. Learn from Duke University researchers Jinyuan Jia, Yupei Liu, and Neil Zhenqiang Gong as they present their findings on this critical cybersecurity topic. Gain insights into the vulnerabilities of pre-trained encoders and understand the potential risks associated with self-supervised learning techniques. Discover the implications of these backdoor attacks and their impact on the field of machine learning and artificial intelligence.