Secure Self-supervised Learning: Challenges and Solutions
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore secure self-supervised learning in this Google TechTalk presented by Neil Gong as part of the Differential Privacy for ML series. Delve into the challenges of supervised learning and discover the potential of self-supervised learning techniques. Learn about data augmentation and pre-training encoders using methods like SimCLR. Examine backdoor attacks, their effectiveness, and strategies to quantify their impact. Investigate existing defenses and their limitations. Gain insights into data auditing techniques, including membership inference-based approaches for pre-trained encoders. Understand the process of shadow training and building inference classifiers. Evaluate the concepts presented through real-world examples and experimental setups, including an assessment of CLIP. Enhance your understanding of secure machine learning practices and their implications for privacy and data protection.