Generative Adversarial Networks have recently demonstrated the capability to synthesize
photo-realistic real-world images. However, they still struggle to offer high controllability of the
output image, even if several constraints are provided as input. In this work, we present a Recur-
sive Text-...
01a Articolo in rivista
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Distributed Denial of Service (DDOS) attacks are important threats to network services and applications. Studies in literature have proposed various approaches including Intrusion Detection Systems (IDS) based on the application of machine learning and deep learning, but their computational cost...
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Videos have become a powerful tool for spreading illegal content such as military propa-ganda, revenge porn, or bullying through social networks. To counter these illegal activities, it has become essential to try new methods to verify the origin of videos from these platforms. However, collecting...
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The Intrusion Detection System (IDS) is an important tool to mitigate cybersecurity threats in an Information and Communication Technology (ICT) infrastructure. The function of the IDS is to detect an intrusion to an ICT system or network so that adequate countermeasures can be adopted. Desirable...
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The dependability of visual information on the web and the authenticity of digital media appearing virally in social media platforms has been raising unprecedented concerns. As a result, in the last years the multimedia forensics research community pursued the ambition to scale the forensic...
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A new phenomenon named Deepfakes constitutes a serious threat in video manipulation. AI-based technologies have provided easy-to-use methods to create extremely realistic videos. On the side of multimedia forensics, being able to individuate this kind of fake contents becomes ever more crucial. In...
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In the last two decades, we have witnessed an immense increase in the use of multimedia content on the internet, for multiple applications ranging from the most innocuous to very critical ones. Naturally, this emergence has given rise to many types of threats posed when this content can be...
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Research findings have shown that microphones can be uniquely identified by audio recordings since physical features of the microphone components leave repeatable and distinguishable traces on the audio stream. This property can be exploited in security applications to perform the identification of...
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Dynamic binary instrumentation (DBI) systems are a popular solution for prototyping heterogeneous program analyses and monitoring tools. Several works from academic and practitioner venues have questioned the transparency of DBI systems, with anti-analysis detection sequences being found already in...
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The correctness of debug information included in optimized binaries has been the subject of recent attention by the research community. Indeed, it represents a practically important problem, as most of the software running in production is produced by an optimizing compiler. Current solutions rely...