Schedule

Suggested Readings:

• HHS Trustworthy AI Playbook

Suggested Readings:

• Deep Residual Learning for Image Recognition
• A Survey of Convolutional Neural Networks

Suggested Readings:

• Ultralytics
• Image Segmentation Using Deep Learning

Suggested Readings:

• Generative Adversarial Nets
• Generative Adversarial Networks in Computer Vision

Suggested Readings:

• Diffusion Models in Vision
• Diffusion Model Blog
• Variational Autoencoder Blog

Suggested Readings:

• X-Vector
• Audio Deepfake Detection

Suggested Readings:

• VC Paper/Project List

Suggested Readings:

• Foundation Model Paper 1
• Foundation Model Paper 2
• Building Large Language Models

Suggested Readings:

• LLM Powered Autonomous Agents
• Application Development using LLMs

Suggested Readings:

• Extrinsic Hallucinations in LLMs
• A Survey on Hallucination in LLMs

Suggested Readings:

• Adversarial Example Papers
• Adversarial Attacks on LLMs

Suggested Readings:

• Survey on Poisoning Attacks
• Survey on Attack Transferability

Suggested Readings:

• Differential Privacy
• Survey on ML and Privacy

Suggested Readings:

• Text Watermarking
• Evading Watermark based Detection of AI-Generated Content

Suggested Readings:

• AI Robustness
• Out-of-Distribution Robustness in Deep Learning

Suggested Readings:

• Explainable AI Survey
• Explainable AI in Industry
• Interpretable Machine Learning

Suggested Readings:

• Fairness Tutorial
• Fairness and machine learning