activity
20112020
most citedA CSP Account of Event-B Refinement

11 citations · 26 across the 4 of their papers we have counts for

collaborators

6 papers

cs.CV20202 cited

Vax-a-Net: Training-time Defence Against Adversarial Patch Attacks

T. Gittings, S. Schneider, J. Collomosse

We present Vax-a-Net; a technique for immunizing convolutional neural networks (CNNs) against adversarial patch attacks (APAs). APAs insert visually overt, local regions (patches)…

cs.CV20193 cited

Robust Synthesis of Adversarial Visual Examples Using a Deep Image Prior

Thomas Gittings, Steve Schneider, John Collomosse

We present a novel method for generating robust adversarial image examples building upon the recent `deep image prior' (DIP) that exploits convolutional network architectures to en…

cs.CR2018

Anonymous Single Sign-on with Proxy Re-Verification

Jinguang Han, Liqun Chen, Steve Schneider +3

An anonymous Single Sign-On (ASSO) scheme allows users to access multiple services anonymously using one credential. We propose a new ASSO scheme, where users can access services a…

cs.CR2018

Anonymous Single-Sign-On for n designated services with traceability

Jinguang Han, Liqun Chen, Steve Schneider +2

Anonymous Single-Sign-On authentication schemes have been proposed to allow users to access a service protected by a verifier without revealing their identity which has become more…

cs.CR201510 cited

Secure and Verifiable Electronic Voting in Practice: the use of vVote in the Victorian State Election

Craig Burton, Chris Culnane, Steve Schneider

The November 2014 Australian State of Victoria election was the first statutory political election worldwide at State level which deployed an end-to-end verifiable electronic votin…

cs.LO201111 cited

A CSP Account of Event-B Refinement

Steve Schneider, Helen Treharne, Heike Wehrheim

Event-B provides a flexible framework for stepwise system development via refinement. The framework supports steps for (a) refining events (one-by-one), (b) splitting events (one-b…