Month: May 2018

Re-coding Black Mirror, Part I

~ adriancolyer ~ 18 Comments

In looking through the WWW’18 proceedings, I came across the co-located ‘Re-coding Black Mirror’ workshop. Re-coding Black Mirror is a full day workshop which explores how the widespread adoption of web technologies, principles and practices could lead to potential societal and ethical challenges as the ones depicted in Black Mirror's episodes, and how research related … Continue reading Re-coding Black Mirror, Part I

Inaudible voice commands: the long-range attack and defense

~ adriancolyer

Inaudible voice commands: the long-range attack and defense Roy et al., NSDI'18 Although you can’t hear them, I’m sure you heard about the inaudible ultrasound attacks on always-on voice-based systems such as Amazon Echo, Google Home, and Siri. This short video shows a ‘DolphinAttack’ in action: To remain inaudible, the attack only works from close … Continue reading Inaudible voice commands: the long-range attack and defense

Progressive growing of GANs for improved quality, stability, and variation

~ adriancolyer ~ 5 Comments

Progressive growing of GANs for improved quality, stability, and variation Karras et al., ICLR'18 Let’s play "spot the celebrity"! (Not your usual #themorningpaper fodder I know, but bear with me...) In each row, one of these is a photo of a real person, the other image is entirely created by a GAN. But which is … Continue reading Progressive growing of GANs for improved quality, stability, and variation

Photo-realistic single image super-resolution using a generative adversarial network

~ adriancolyer ~ 4 Comments

Photo-realistic single image super-resolution using a generative adversarial network Ledig et al., arXiv'16 Today’s paper choice also addresses an image-to-image translation problem, but here we’re interested in one specific challenge: super-resolution. In super-resolution we take as input a low resolution image like this: And produce as output an estimation of a higher-resolution up-scaled version: For … Continue reading Photo-realistic single image super-resolution using a generative adversarial network

Image-to-image translation with conditional adversarial networks

~ adriancolyer

Image-to-image translation with conditional adversarial networks Isola et al., CVPR’17 It’s time we looked at some machine learning papers again! Over the next few days I’ve selected a few papers that demonstrate the exciting capabilities being developed around images. I find it simultaneously amazing to see what can be done, and troubling to think about … Continue reading Image-to-image translation with conditional adversarial networks

Equality of opportunity in supervised learning

~ adriancolyer ~ 8 Comments

Equality of opportunity in supervised learning Hardt et al., NIPS’16 With thanks to Rob Harrop for highlighting this paper to me. There is a a lot of concern about discrimination and bias entering our machine learning models. Today’s paper choice introduces two notions of fairness: equalised odds, and equalised opportunity, and shows how to construct … Continue reading Equality of opportunity in supervised learning