Month: September 2019

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

Declarative recursive computation on an RDBMS

~ Adrian Colyer ~ 2 Comments
Declarative recursive computation on an RDBMS... or, why you should use a database for distributed machine learing Jankov et al., VLDB'19 If you think about a system like Procella that’s combining transactional and analytic workloads on top of a cloud-native architecture, extensions to SQL for streaming, dataflow based materialized views (see e.g. Naiad, Noria, Multiverses, ... Continue Reading

Experiences with approximating queries in Microsoft’s production big-data clusters

~ Adrian Colyer ~ 2 Comments
Experiences with approximating queries in Microsoft’s production big-data clusters Kandula et al., VLDB'19 I’ve been excited about the potential for approximate query processing in analytic clusters for some time, and this paper describes its use at scale in production. Microsoft’s big data clusters have 10s of thousands of machines, and are used by thousands of ... Continue Reading