Talk

PGR Seminar with Zhongliang Guo

The next PGR seminar is taking place this Friday at 2PM in JC 1.33a

Below is a title and Abstract for Zhongliang’s talk– Please do come along if you are able.

Title: Adversarial Attack as a Defense: Preventing Unauthorized AI Generation in Computer Vision

Abstract: Adversarial attack is a technique that generate adversarial examples by adding imperceptible perturbations to clean images. These adversarial perturbations, though invisible to human eyes, can cause neural networks to produce incorrect outputs, making adversarial examples a significant security concern in deep learning. While previous research has primarily focused on designing powerful attacks to expose neural network vulnerabilities or using them as baselines for robustness evaluation, our work takes a novel perspective by leveraging adversarial examples to counter malicious uses of machine learning. In this seminar, I will present two of our recent works in this direction. First, I will introduce the Locally Adaptive Adversarial Color Attack (LAACA), which enables artists to protect their artwork from unauthorized neural style transfer by embedding imperceptible perturbations that significantly degrade the quality of style transfer results. Second, I will discuss our Posterior Collapse Attack (PCA), a grey-box attack method that disrupts unauthorized image editing based on Stable Diffusion by exploiting the common VAE structure in latent diffusion models. Our research demonstrates how adversarial examples, traditionally viewed as a security threat, can be repurposed as a proactive defense mechanism against the misuse of generative AI, contributing to the responsible development and deployment of these powerful technologies.

Distinguished Lecture series 2024

This years Distinguished Lecture series was delivered yesterday ( Tuesday 12th March) by Professor Neil Lawrence, University of Cambridge

In his talk on, ‘The Atomic Human Understanding Ourselves in the Age of AI’ he gave an overview of where we are now with machine learning solutions, and what challenges we face both in the near and far future. These include the practical application of existing algorithms in the face of the need to explain decision-making, mechanisms for improving the quality and availability of data and dealing with large unstructured datasets.

Welcoming Prof. Giovanna Di Marzo Serugendo for our DLS on Tuesday 9 November

As part of the schools Distinguished Lecture Series we look forward to welcoming Prof. Giovanna Di Marzo Serugendo on Tuesday 9 November.

Prof. Giovanna Di Marzo Serugendo  received her Ph.D. in Software Engineering from the Swiss Federal Institute of Technology in Lausanne (EPFL) in 1999. After spending two years at CERN (the European Center for Nuclear Research) and 5 years in the UK as Lecturer, she became full professor at the University of Geneva in 2010. Since 2016, she is the Director of the Computer Science Center of the University of Geneva, Switzerland. She has been nominated in 2018 among the 100 digital shapers in Switzerland. Her research interests relate to the engineering of decentralised software with self-organising and emergent behaviour. This involves studying natural systems, designing and developing artificial collective systems, and verifying reliability and trustworthiness of those systems. Giovanna co-founded the IEEE International Conference on Self-Adaptive and Self-Organising Systems (SASO) and the ACM Transactions on Autonomous Adaptive Systems (TAAS), for which she served as EiC from 2005 to 2011.

This event will be held on Teams with further details to follow.

Modern practices of sharing computational research

As a part of the Love Data Week, Olexandr Konovalov will give a talk on Tuesday 11 February, 3pm, Physics Lecture Theatre C.

Abstract: Have you been frustrated by trying to use someone else’s code which is non-trivial to install? Have you tried to make supplementary code for your paper to be easily accessible for the reader? If so, you certainly know that this may require non-trivial efforts. I will demonstrate some tools that may help to create reproducible computational experiments, and will explain which skills will be needed to use these tools. The talk will demonstrate examples in Python and R runnable in Jupyter notebooks. You are welcome to bring your laptop to try these examples online. No prior knowledge of programming is required.

Links:

  • Templates for reproducible experiments in GAP, Python and R
  • Code4REF guidance on recording research software in Pure

References:

Event details

  • When: 11th February 2020 15:00 - 16:00
  • Where: Phys Theatre C
  • Format: Talk

St Andrews Bioinformatics Workshop 10/06/19

Next Monday is the annual St Andrews Bioinformatics workshop in Seminar Room 1, School of Medicine. Some of the presentations are very relevant to Computer Science, and all should be interesting. More information below:

Agenda:

14:00  – 14:15: Valeria Montano: The PreNeolithic evolutionary history of human genetic resistance to Plasmodium falciparum

14:15 – 14:30: Chloe Hequet: Estimation of Polygenic Risk with Machine Learning

14:30 – 14:45: Roopam Gupta: Label-free optical hemogram of granulocytes enhanced by artificial neural networks

15:00 – 15:15: Damilola Oresegun: Nanopore: Research; then, now and the future

15:15 – 15:30: Xiao Zhang: Functional and population genomics of extremely rapid evolution in Hawaiian crickets

15:30 – 16:00: Networking with refreshments

16:00 – 17:00: Chris Ponting: The power of One: Single variants, single factors, single cells

You can register your interest in attending here.

Event details

  • When: 10th June 2019 14:00 - 17:00
  • Format: Lecture, Talk, Workshop

SRG Seminar: “Large-Scale Hierarchical k-means for Heterogeneous Many-Core Supercomputers” by Teng Yu

We present a novel design and implementation of k-means clustering algorithm targeting supercomputers with heterogeneous many-core processors. This work introduces a multi-level parallel partition approach that not only partitions by dataflow and centroid, but also by dimension. Our multi-level ($nkd$) approach unlocks the potential of the hierarchical parallelism in the SW26010 heterogeneous many-core processor and the system architecture of the supercomputer.
Our design is able to process large-scale clustering problems with up to 196,608 dimensions and over 160,000 targeting centroids, while maintaining high performance and high scalability, significantly improving the capability of k-means over previous approaches. The evaluation shows our implementation achieves performance of less than 18 seconds per iteration for a large-scale clustering case with 196,608 data dimensions and 2,000 centroids by applying 4,096 nodes (1,064,496 cores) in parallel, making k-means a more feasible solution for complex scenarios.
This work is to be presented in the International Conference for High Performance Computing, Networking, Storage, and Analysis (SC18).

Event details

  • When: 1st November 2018 13:00 - 14:00
  • Where: Cole 1.33b
  • Series: Systems Seminars Series
  • Format: Seminar, Talk

SRG Seminar: “Efficient Cross-architecture Hardware Virtualisation” by Tom Spink

Virtualisation is a powerful tool used for the isolation, partitioning, and sharing of physical computing resources. Employed heavily in data centres, becoming increasingly popular in industrial settings, and used by home-users for running alternative operating systems, hardware virtualisation has seen a lot of attention from hardware and software developers over the last ten?fifteen years.

From the hardware side, this takes the form of so-called hardware assisted virtualisation, and appears in technologies such as Intel-VT, AMD-V and ARM Virtualization Extensions. However, most forms of hardware virtualisation are typically same-architecture virtualisation, where virtual versions of the host physical machine are created, providing very fast isolated instances of the physical machine, in which entire operating systems can be booted. But, there is a distinct lack of hardware support for cross-architecture virtualisation, where the guest machine architecture is different to the host.

I will talk about my research in this area, and describe the cross-architecture virtualisation hypervisor Captive that can boot unmodified guest operating systems, compiled for one architecture in the virtual machine of another.

I will talk about the challenges of full system simulation (such as memory, instruction, and device emulation), our approaches to this, and how we can efficiently map guest behaviour to host behaviour.

Finally, I will discuss our plans for open-sourcing the hypervisor, the work we are currently doing and what future work we have planned.

Event details

  • When: 11th October 2018 13:00 - 14:00
  • Where: Cole 1.33b
  • Series: Systems Seminars Series
  • Format: Seminar, Talk

The OpenMP and MPI refactoring with ParaFormance – Turkey Alsalkini

Abstract:

The increasing complexity of codes with the growing number of cores that should be utilised make such codes hard to optimise and maintain. In this talk, we present the OpenMP and MPI refactoring implemented in the ParaFormance tool. This tool transforms the sequential code into parallel code able to run on shared memory machines. Further refactoring is implemented to adapt the source code to exploit a larger number of processors on large HPC clusters with message passing support. In addition, the resulting MPI code can be used by developers as a starting point for further optimisation. Both refactorings are preceded by an advanced safety checking which reports concurrency problems and gives hints and suggestions on how to fix them.

Event details

  • When: 17th May 2018 12:00 - 13:00
  • Where: Cole 1.33a
  • Format: Talk

A Type-System for describing System-on-a-Chip Architectures – Jan De Muijnck-Hughes

Title:
A Type-System for describing System-on-a-Chip Architectures

Abstract:
The protocols that describe the interactions between IP Cores on System-on-a-Chip (SoC) architectures are well-documented. These protocols described not only the structural properties of the physical interfaces but also the behaviour of the emanating signals. However, there is a disconnect between the design of SoC architectures, their formal description, and the verification of their implementation in known hardware description languages.

Within the Border Patrol project we are investigating how to capture and reason about the structural and behavioural properties of SoC architectures using state-of-the-art advances in programming language research. Namely, we are investigating using dependent types and session types to capture and reason about hardware communication.

In this talk I will discuss my work in designing a dependent type- system and corresponding language that captures and reasons about the topological structure of a System-on-a-Chip. This language provides correct-by-construction guarantees over:

  • the physical structure of an interaction protocol;
  • the adherence of a component’s interface to a given protocol; and
  • the validity of the specified connections made between components.

We provide these guarantees through the (ab)use of dependent types as presented in Idris; and abuse of indexed monads to reason about resource usage.

Given time I will give an account of how this language enables reasoning about SoC behaviour when considered in conjunction with Session Types.ssion Types.

Event details

  • When: 5th April 2018 12:00 - 13:00
  • Where: Cole 1.33a
  • Format: Talk

Impact Talk: Xelect Ltd

This is Impact talk as a “brown bag lunch” (i.e. you bring your lunch if you wish) and the school will provide cakes.

Xelect Ltd

– a successful spin-out from the University of St Andrews

Xelect was founded 5 years ago by Professor Ian Johnston and Dr Tom Ashton to provide genetic services to the global aquaculture industry. The company built on several decades of research in fish physiology and genetics which was funded by BBSRC through to the stage of commercialisation. Xelect develops genetic selection technology and provides associated laboratory support to breeders of finfish, shellfish and shrimps and to date has served 52 customers in 17 countries. We currently manage broodstock genetics programs for producers in Chile, Scotland (Atlantic salmon), Croatia, Greece (seabass and sea bream), New Zealand (King salmon) and Vietnam (Barramundi). The company started out in incubation space at the Scottish Oceans Institute before moving to independent premises in 2016. Xelect also has sales offices in Puerto Montt, Chile and in Hong Kong. The company employs 12 people, mostly PhDs, and is account managed by Scottish Enterprise. Xelect’s shareholders are the founders, the University, SalmoBreed A/S and the EOS Technology Investment Syndicate.

About Ian Johnston

Ian Johnston is former Chandos Professor, Head of the School of Biology and Director of the Scottish Oceans Institute. He currently works full-time for Xelect but retains a 0 FTE position as Professor of Biology.

Event details

  • When: 8th February 2018 13:00 - 14:00
  • Where: Cole 1.33a
  • Format: Seminar, Talk