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We explore the capabilities of Large Language Models (LLMs) to assist or substitute devices (i.e., firewalls) and humans (i.e., security experts) respectively in the detection and analysis of security incidents. We leverage transformer-based technologies,...

Network Intrusion Detection Systems (NIDS) are essential for identifying and mitigating cyber threats in dynamic network environments. However, maintaining high performance over time is challenging due to factors such as initial model limitations, data ...

In order to predict a pedestrian's trajectory in a crowd accurately, one has to take into account her/his underlying socio-temporal interactions with other pedestrians consistently. Unlike existing work that represents the relevant information separately,...

The tutorial "Large Vision-Language Model in the Society" aims to provide a comprehensive overview of state-of-the-art techniques and applications of large vision-language models (LVLMs), which integrate visual and textual data to transform multimedia ...

Annotated images are required for numerous computer vision tasks; however, the annotation process can be time-consuming for crowdworkers and experts. Previous work has investigated novel interaction techniques and task reformulation to speed up this ...

Enhancing productivity is a core objective of any organization whether it is manufacturing or service one. Several factors both technological and human related are responsible for an improved performance. Beyond continuous improvement in process, sound ...

The rapid expansion of IoT brings unmatched convenience and connectivity, but it also raises significant security concerns. The prioritization of functionality over security in IoT devices exposes vulnerabilities like default credentials, outdated ...

Interactions of users and items can be naturally modeled as a user-item bipartite graph in recommender systems, and emerging research is devoted to exploring user-item graphs for collaborative filtering methods. In reality, user-item interaction usually ...

Federated learning (FL) refers to a system in which a central aggregator coordinates the efforts of several clients to solve the issues of machine learning. This setting allows the training data to be dispersed in order to protect the privacy of ...

The rise of social media as a platform for opinion expression and social interactions motivated the need for an automated data analysis technique for business value extraction with optimal investment considerations. In this respect, sentiment analysis (SA)...

Financial reconciliation (cross-checking independent sources of data) is a time-honored and widespread function in finance and audit. Its objectives are to ensure completeness, timeliness, and accuracy of recording of transactions.

With the ...

The UN Sustainable Development Goals allude to the importance of infrastructure quality in three of its seventeen goals. However, monitoring infrastructure quality in developing regions remains prohibitively expensive and impedes efforts to measure ...

We propose a novel model that apply an extension of the Long Short-Term Memory neural network for sentence compression task. In our model, only the most relevant context of each word is concentrated to avoid the redundant information. Our model is based ...

We present a vector field approximation for two-dimensional vector fields that preserves their topology and significantly reduces the memory footprint. This approximation is based on a segmentation. The flow within each segmentation region is ...

Recent developments in robotics demonstrated that bioinspiration and embodiement are powerful tools to achieve robust behavior in presence of little control. In this context morphological design is usually performed by humans, following a set of ...

There are numerous applications where we wish to discover unexpected activities in a sequence of time-stamped observation data--for instance, we may want to detect inexplicable events in transactions at a website or in video of an airport tarmac. In ...

The heat shock response is a well-conserved defence mechanism against the accumulation of misfolded proteins due to prolonged elevated heat. The cell responds to heat shock by raising the levels of heat shock proteins (hsp), which are responsible for ...

A knowledge infusion process gives a system the linguistic and cultural knowledge—normally the prerogative of human beings—required to play a complex language game.

The overwhelming amount of various monitoring and log data generated in multitier IT systems makes problem determination one of the most expensive and labor-intensive tasks in IT Services arena. Particularly the initial step of problem classification is ...

Dealing with large, critical mobile systems and infrastructures where ongoing changes and resilience are paramount leads to very complex and difficult challenges for system evaluation. These challenges call for approaches that are able to integrate ...