EricRobert/awesome-ai-ethics

References for ethics in AI

Awesome AI ethics

References for ethics & security issues in AI

Papers - Medicine

• Adversarial Attacks Against Medical Deep Learning Systems

Papers - Medicine Applications

• Pivotal trial of an autonomous AI-based diagnostic system for detection of diabetic retinopathy in primary care offices

• CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning

• Detecting hip fractures with radiologist-level performance using deep neural networks

• Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer

• Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs

Papers - Attacks

• Adversarial Patch

• Towards Deep Learning Models Resistant to Adversarial Attacks

Papers

• Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning

• Understanding Membership Inferences on Well-Generalized Learning Models

• Learning to Identify while Failing to Discriminate

• VAMS: Verifiable Auditing of Access to Confidential Data

• Knock Knock, Who's There? Membership Inference on Aggregate Location Data

• Privacy-Preserving Deep Learning

• Deep Learning with Differential Privacy

• Privacy-preserving Machine Learning through Data Obfuscation

• The Secret Sharer: Measuring Unintended Neural Network Memorization & Extracting Secrets

• Efficient Deep Learning on Multi-Source Private Data

Blogs

• AI at Google: our principles