Four short links: 16 March 2018
Longevity, Partner Violence, Leaking Secrets, and Fallacy of Objective Measurement
- Longevity FAQ (Laura Deming) — I run Longevity Fund. I spend a lot of time thinking about what could increase healthy human lifespan. This is my overview of the field for beginners.
- Intimate Partner Violence — What we’ve discovered in our research is that digital abuse of intimate partners is both more mundane and more complicated than we might think. […] [I]ntimate partner violence upends the way we typically think about how to protect digital privacy and security. You should read this because we all need to get a lot more aware of the ways in which the tools we make might be used to hurt others.
- The Secret Sharer — Machine learning models based on neural networks and deep learning are being rapidly adopted for many purposes. What those models learn, and what they may share, is a significant concern when the training data may contain secrets and the models are public—e.g., when a model helps users compose text messages using models trained on all users’ messages. […] [W]e show that unintended memorization occurs early, is not due to overfitting, and is a persistent issue across different types of models, hyperparameters, and training strategies.
- Gaydar and the Fallacy of Objective Measurement — By taking gaydar into the lab, these research teams have taken the creative adaptation of an oppressed community of atomized members and turned gaydar into an essentialist story of “gender atypicality,” a topic that is related to, but distinctly different from, sexual orientation.