4 Contributo in Atti di Convegno (Proceeding)

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Archaeological predictive modelling in underwater contexts. Utility and challenges

Despite the availability of various remote sensing methods allowing for mapping, monitoring, and studying the underwater cultural heritage at previously unreachable depths, underwater operations remain costly and challenging to sustain in extensive areas. The adoption of formal models indicating where to expect archaeological remains would be extremely beneficial to optimise underwater archaeological investigations. However, whilst archaeological predictive modelling has increasingly been emp...

Evaluation of reliability criteria for news publishers with large language models

In this study, we investigate the use of a large language model to assist in the evaluation of the reliability of the vast number of existing online news publishers, addressing the impracticality of relying solely on human expert annotators for this task. In the context of the Italian news media market, we first task the model with evaluating expert-designed reliability criteria using a representative sample of news articles. We then compare the model’s answers with those of human experts. Th...

Detecting memory errors in rust programs including unsafe foreign code

Memory corruption is one of the oldest and most disruptive problems in computer security, through which attackers may maliciously alter the program control flow. Unsafe languages, such as C and C++, are prone to these types of vulnerability. A promising alternative is Rust, which ensures memory safety through proper compile-time checks with no penalties at run-time. However, the Rust compiler is not able to provide these guarantees when programmers use Rust unsafe features or integrate code w...

A method for packed (and unpacked) malware detection by means of convolutional neural networks

The current signature-based mechanism implemented by free and commercial antimalware requires the presence of the signature of the malicious sample to provide protection, i.e., to detect malicious behavior. This is why malware writers are developing techniques that can change the syntax of the code but leave the semantics unchanged, i.e., the malware business logic. Among these techniques is the so-called packed malware, i.e., malware with binary code modified by packers, software aimed to pa...

Automatic evaluation of online news outlets’ reliability

Over the past two decades, news consumption has shifted dramatically from print to digital formats. This transition gave rise to participatory journalism, which often lacks editorial oversight and focuses more on maximizing audience reach than on delivering high-quality information. As a result of this process, clickbait headlines have become increasingly common. Moreover, the anonymity of the internet, along with advances in automatic writing tools provided by modern LLM, has filled the web—...

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