Node Injection for Class-specific Network Poisoning

Graph Neural Networks (GNNs) are powerful in learning rich network representations that aid the performance of downstream tasks. However, recent studies showed that GNNs are vulnerable to adversarial attacks involving node injection and network perturbation. Among these, node injection attacks are more practical as they don't require manipulation in the existing network and can be performed more realistically. In this paper, we propose a novel problem statement - a class-specific poison attack on graphs in which the attacker aims to misclassify specific nodes in the target class into a different class using node injection. Additionally, nodes are injected in such a way that they camouflage as benign nodes. We propose NICKI, a novel attacking strategy that utilizes an optimization-based approach to sabotage the performance of GNN-based node classifiers. NICKI works in two phases - it first learns the node representation and then generates the features and edges of the injected nodes. Extensive experiments and ablation studies on four benchmark networks show that NICKI is consistently better than four baseline attacking strategies for misclassifying nodes in the target class. We also show that the injected nodes are properly camouflaged as benign, thus making the poisoned graph indistinguishable from its clean version w.r.t various topological properties.Comment: 28 pages, 5 figure

The Evolution of Man: Studying Sri Aurobindo's Dramatic Ouevre

Sri Aurobindo wrote around eleven verse plays, much in the tradition of the Elizabethan poetic plays. Many similarities and equally numbered distinctions may be traced midst the dramatic output of William Shakespeare and Sri Aurobindo. However, of the eleven plays only five plays are complete, in that they have a five act structure, namely- Viziers of Bassora, Eric, Rodogune, Perseus: The Deliverer and Vasavadutta. The genealogy of all these plays may be traced to the legends or myths, of the various ancient cultures which populated the world and shaped its history. Irrespective of their different myths of origin, Sri Aurobindo,  much like Shakespeare employs these stories only as the raw clay, while he mould the statue out of it, according to his own vision, that is the Evolution of Man. An analysis of Sri Aurobindo’s plays elucidates the unparalleled range and vision to which his plays bear testimony. The notable feature of Sri Aurobindo’s plays is that they portray diverse cultures and nations in different aeons, populated with an array of characters, moods and sentiments. Sri Aurobindo spent almost all his growing years in England, studying English and other classical literatures and the impact of this reading is discernible in his plays. He seems to be particularly impressed by the Elizabethan drama and employs its technique in matters of plot construction and characterisation. He is said to have perfected the English blank verse which he deftly displays in the dialogues of his characters. His plays can thus be said to be a unique blend of the Sanskrit and Western philosophical and aesthetic theories as the plot, the climax, the progression and the theme is unmistakably Indian. He seems to have been influenced by the Sanskrit playwrights like Bhasa, Kalidas and Bhavabhuti and all five plays are imbued with the poetry and romance which is similar in spirit and flavour of the distinctive dramatic type which was the signature style of Bhasa, Kalidas and Bhavabhuti, and simultaneously preserve the Aurobindonian undertones. The paper attempts to elucidate the ‘Evolution of Man’ which Sri Aurobindo mounts through his plays

Natural Language Processing for Virtual Reference Analysis

Objective – Chat transcript analysis can illuminate user needs by identifying common question topics, but traditional hand coding methods for topic analysis are time-consuming and poorly suited to large datasets. The research team explored the viability of automatic and natural language processing (NLP) strategies to perform rapid topic analysis on a large dataset of transcripts from a consortial chat service.Methods – The research team developed a toolchain for data processing and analysis, which incorporated targeted searching for query terms using regular expressions and natural language processing using the Python spaCy library for automatic topic analysis. Processed data was exported to Tableau for visualization. Results were compared to hand-coded data to test the accuracy of conclusions.Results – The processed data provided insights about the volume of chats originating from each participating library, the proportion of chats answered by operator groups for each library, and the percentage of chats answered by different staff types. The data also captured the top referring URLs for the service, course codes and file extensions mentioned, and query hits. Natural language processing revealed that the most common topics were related to citation, subscription databases, and finding full-text articles, which aligns with common question types identified in hand-coded transcripts.Conclusion – Compared to hand coding, automatic and NLP processing approaches have benefits in terms of the volume of data that can be analyzed and the time frame required for analysis, but they come with a trade-off in accuracy, such as false hits. Therefore, computational approaches should be used to supplement traditional hand coding methods. As NLP becomes more accurate, approaches such as these may widen avenues of insight into virtual reference and patron needs

tardis-sn/tardis: TARDIS v2023.11.05

<p>This release has been created automatically by the TARDIS continuous delivery pipeline.</p> <p>A complete list of changes for this release is available at <a href="https://github.com/tardis-sn/tardis/blob/master/CHANGELOG.md">CHANGELOG.md</a>.</p&gt

tardis-sn/tardis: TARDIS v2023.10.20

<p>This release has been created automatically by the TARDIS continuous delivery pipeline.</p> <p>A complete list of changes for this release is available at <a href="https://github.com/tardis-sn/tardis/blob/master/CHANGELOG.md">CHANGELOG.md</a>.</p&gt

Proceedings of International Technical Postgraduate Conference 2022

This conference proceedings contains articles on the various research ideas of the academic & research communities presented at the International Technical Postgraduate Conference 2022 (TECH POST 2022) that was held at Universiti Malaya, Kuala Lumpur, Malaysia on 24-25 September 2022. TECH POST 2022 was organized by the Faculty of Engineering, Universiti Malaya. The theme of the conference is “Embracing Innovative Engineering Technologies Towards a Sustainable Future”.  TECH POST 2022 conference is intended to foster the dissemination of state-of-the-art research from five main disciplines of Engineering: Electrical Engineering, Biomedical Engineering, Civil Engineering, Mechanical Engineering, and Chemical Engineering. The objectives of TECH POST 2022 are to bring together innovative researchers from all engineering disciplines to a common forum, promote R&D activities in Engineering, and promote the dissemination of scientific knowledge and research know-how between researchers, engineers, and students. Conference Title: International Technical Postgraduate Conference 2022Conference Acronym: TECH POST 2022Conference Date: 24-25 September 2022Conference Location: Faculty of Engineering, Universiti Malaya, Kuala Lumpur Malaysia (Hybrid Mode)Conference Organizers: Faculty of Engineering, Universiti Malaya, Kuala Lumpur, Malaysia

Students' participation in collaborative research should be recognised

Letter to the editor