When DNNs go wrong – adversarial examples and what we can learn from them

February 28, 2017November 11, 2019 ~ Adrian Colyer ~ 13 Comments

Yesterday we looked at a series of papers on DNN understanding, generalisation, and transfer learning. One additional way of understanding what's going on inside a network is to understand what can break it. Adversarial examples are deliberately constructed inputs which cause a network to produce the wrong outputs (e.g., misclassify an input image). We'll start ... Continue Reading

Understanding, generalisation, and transfer learning in deep neural networks

February 27, 2017November 11, 2019 ~ Adrian Colyer ~ 9 Comments

This is the first in a series of posts looking at the 'top 100 awesome deep learning papers.' Deviating from the normal one-paper-per-day format, I'll take the papers mostly in their groupings as found in the list (with some subdivision, plus a few extras thrown in) - thus we'll be looking at multiple papers each ... Continue Reading

An experiment with awesome deep learning papers

February 26, 2017November 11, 2019 ~ Adrian Colyer ~ 9 Comments

There have been several lists of deep learning papers doing the rounds. Recently Terry Taewoong Um's list of the top 100 awesome and most cited deep learning papers caught my eye. Deep learning is an exciting area and it's moving fast. I'd like to know what's in those 100 papers (thankfully, we have at least ... Continue Reading

On decentralizing prediction markets and order books

February 24, 2017November 11, 2019 ~ Adrian Colyer ~ 1 Comment

On decentralizing prediction markets and order books Clark et al., 13th Annual Workshop on the Economics of Information Security, 2014 This is the last of five papers in the ACM Queue Research for Practice series on 'Cryptocurrencies, Blockchains, and Smart Contracts .' It serves as a good example of repurposing block chains as a foundation ... Continue Reading

Making smart contracts smarter

February 23, 2017November 11, 2019 ~ Adrian Colyer ~ 10 Comments

Making smart contracts smarter Luu et al., CCS 2016 This is the fourth in a series of papers from the ACM Queue Research for Practice 'Cryptocurrencies, Blockchains and Smart Contracts' selections, in which Luu at al. look at smart contracts in Ethereum. Smart contracts are a really intriguing idea and have generated a lot of ... Continue Reading

A first look at the usabilty of Bitcoin key management

February 22, 2017November 11, 2019 ~ Adrian Colyer ~ 2 Comments

A first look at the usability of Bitcoin key management Eskandari et al., USEC 2015 This is the third of five papers from the ACM Queue Research for Practice selections on 'Cryptocurrencies, Blockchains, and Smart Contracts.' And thankfully it's much easier to read and understand than yesterdays! The authors point out that a cryptocurrency intended ... Continue Reading

Zerocash: Decentralized anonymous payments from Bitcoin

February 21, 2017November 11, 2019 ~ Adrian Colyer ~ 3 Comments

Zerocash: Decentralized anonymous payments from Bitcoin Ben-Sasson et al., 2014 Yesterday we saw that de-anonymising techniques can learn a lot about the true identities of participants in Bitcoin transactions. Ben-Sasson et al. point out that given this, Bitcoin could be considered significantly less private than traditional schemes: While users may employ many identities (or pseudonyms) ... Continue Reading

A fistful of Bitcoins: Characterizing payments among men with no names

February 20, 2017November 11, 2019 ~ Adrian Colyer ~ 13 Comments

A fistful of bitcoins: characterizing payments among men with no names Meiklejohn et al., USENIX ;login: 2013 This week we're going to be looking at the five papers from the ACM Queue Research for Practice selections on 'Cryptocurrencies, Blockchains, and Smart Contracts.' These papers are chosen by Arvind Narayanan and Andrew Miller, co-authors of the ... Continue Reading

the morning paper

a random walk through Computer Science research, by Adrian Colyer
Made delightfully fast by strattic

Month: February 2017