Presenter: Lorenzo VaianiMonday, November 27th, 2023 17:30Location: SmartData@Covivio, Sala Grande With the proliferation of multimodal data sources, detecting fake news content has become more and more challenging as fake content can be hidden in either visual or textual news elements. Our work addresses the automatic detection of Italian fake news […]
Yearly Archives: 2023
Precis: a concise summary of essential points, statements, or facts Info This webpage contains additional material on the paper: LogPrecis: Unleashing Language Models for Automated Malicious Log Analysis Abstract Security logs are the key to understanding attacks and diagnosing vulnerabilities. Often coming in the form of text logs, their analysis […]
Presenter: Alessandro EpastoMonday, September 18th, 2023 11:30Location: Sala Ciminiera, 5th floor Corso Castelfidardo 34 ABSTRACT Clustering is a fundamental unsupervised machine learning problem that lies at the core of several real-world applications. While traditional clustering algorithms have not considered the privacy of the users providing the data, recently private clustering […]
I risultati del progetto Reading (&) Machine verranno presentati al Festival dell’Innovazione e Scienza di Settimo Torinese https://festivaldellinnovazione.settimo-torinese.it/ Reading (&) Machine è a cura del Centro SmartData, del Laboratorio di Realtà Virtuale e del Dipartimento di Automatica e Informatica del Politecnico di Torino e finanziato da Fondazione Tim. Il progetto […]
Presenter: Elena SabbioniMonday, July 10th, 2023 17:30Location: SmartData@Covivio RNA velocity is a biological quantity related to the evolution of cells at different stages of maturity and can be used to interpret cellular differentiation. The mathematical model behind this quantity describes the biological transformation from DNA to RNA, which can be […]
The Ninth Workshop of the Interdepartmental Center SmartData@PoliTO will be held on September 25 and 26, 2023 in Loano (Savona), at the wonderful Loano 2 Village, Via degli Alpini, 6 – Loano (SV). This workshop will be a great opportunity to discuss the union of SmartData@PoliTO and AI-H@PoliTO and shape the future […]
Presenter: Luca PianoMonday, June 26th, 2023 17:30Location: SmartData@Covivio Deep neural networks are commonly used in various applications, but they are still vulnerable to out-of-distribution (OOD) samples, which are drawn from a different distribution than the one used during training. One approach to address this issue is using techniques to detect […]
Author: Nikhil Jha Third-party cookies have been a core pillar in Interest-Based Advertising (IBA). Their use allowed advertisers to build profiles of users surfing the web, in order to offer them advertisements tailored to their interests.Privacy advocates have long criticized the use of third-party cookies, forcing legislators to take action, […]
Presenter: Federico CeruttiWednesday, June 21st, 2023 11:00Location: Sala Maxwell, 5th floor Corso Castelfidardo 34 ABSTRACT When collaborating with an AI system, we must assess when to trust its recommendations. Suppose we mistakenly trust it in regions where it is likely to err. In that case, catastrophic failures may occur, hence […]
Presenter: Philippe BichMonday, May 29th, 2023 17:30Location: SmartData@Covivio The growing interest in Internet of Things (IoT) and mobile Artificial Intelligence (AI) applications is driving research into Deep Neural Networks (DNNs) that can operate efficiently on low-resource/energy devices at the edge. However, the limited computational resources typically available in edge devices […]
Presenter: Tailai SongMonday, May 15th, 2023 18:00Location: SmartData@Covivio Real-time communication (RTC) platforms have undergone a consistent increase in popularity in recent years, and nowadays, they are fundamental for both work and leisure purposes. To ensure adequate Quality of Experience (QoE) for users of RTC services, we need proper traffic management […]
Presenter: Gabriele CiravegnaMonday, April 17th, 2023 17:30Location: SmartData@Covivio Deploying AI-powered systems requires trustworthy models supporting effective human interactions, going beyond raw prediction accuracy. Concept bottleneck models promote trustworthiness by conditioning classification tasks on an intermediate level of human-like concepts. This enables human interventions which can correct mispredicted concepts to improve […]