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150 successful machine learning models: 6 lessons learned at Booking.com

~ Adrian Colyer ~ 34 Comments
150 successful machine learning models: 6 lessons learned at Booking.com Bernadi et al., KDD'19 Here’s a paper that will reward careful study for many organisations. We’ve previously looked at the deep penetration of machine learning models in the product stacks of leading companies, and also some of the pre-requisites for being successful with it. Today’s ... Continue Reading

In-toto: providing farm-to-table guarantees for bits and bytes

~ Adrian Colyer ~ 9 Comments
in-toto: providing farm-to-table guarantees for bits and bytes Torres-Arias et al., USENIX Security Symposium 2019 Small world with high risks did a great job of highlighting the absurd risks we’re currently carrying in many software supply chains. There are glimmers of hope though. This paper describes in-toto, and end-to-end system for ensuring the integrity of ... Continue Reading

Wireless attacks on aircraft instrument landing systems

~ Adrian Colyer ~ 33 Comments
Wireless attacks on aircraft instrument landing systems Sathaye et al., USENIX Security Symposium 2019 It’s been a while since we last looked at security attacks against connected real-world entities (e.g., industrial machinery, light-bulbs, and cars). Today’s paper is a good reminder of just how important it is becoming to consider cyber threat models in what ... Continue Reading

The secret-sharer: evaluating and testing unintended memorization in neural networks

~ Adrian Colyer ~ 3 Comments
The secret sharer: evaluating and testing unintended memorization in neural networks Carlini et al., USENIX Security Symposium 2019 This is a really important paper for anyone working with language or generative models, and just in general for anyone interested in understanding some of the broader implications and possible unintended consequences of deep learning. There’s also ... Continue Reading