Zobrazeno 1 - 10
of 673
pro vyhledávání: '"Garcia, Sebastian"'
Autor:
Rimoldi, Cristina, Columbo, Lorenzo L., Tibaldi, Alberto, Debernardi, Pierluigi, García, Sebastian Romero, Raabe, Christian, Gioannini, Mariangela
We study the dynamical behavior of medium-size multimode VCSELs with an elliptical oxide aperture, selected for the best trade-off between high output power and modulation speed for datacom applications, with a focus on their relative intensity noise
Externí odkaz:
http://arxiv.org/abs/2407.11899
We construct a differentiable locally Lipschitz function $f$ in $\mathbb{R}^{N}$ with the property that for every convex body $K\subset \mathbb{R}^N$ there exists $\bar x \in \mathbb{R}^N$ such that $K$ coincides with the set $\partial_L f(\bar x)$ o
Externí odkaz:
http://arxiv.org/abs/2405.09206
Understanding cybercrime communications is paramount for cybersecurity defence. This often involves translating communications into English for processing, interpreting, and generating timely intelligence. The problem is that translation is hard. Hum
Externí odkaz:
http://arxiv.org/abs/2404.01940
A classical result of variational analysis, known as Attouch theorem, establishes the equivalence between epigraphical convergence of a sequence of proper convex lower semicontinuous functions and graphical convergence of the corresponding subdiffere
Externí odkaz:
http://arxiv.org/abs/2311.10849
Honeypots are essential tools in cybersecurity. However, most of them (even the high-interaction ones) lack the required realism to engage and fool human attackers. This limitation makes them easily discernible, hindering their effectiveness. This wo
Externí odkaz:
http://arxiv.org/abs/2309.00155
Autor:
Rigaki, Maria, Garcia, Sebastian
Due to the proliferation of malware, defenders are increasingly turning to automation and machine learning as part of the malware detection tool-chain. However, machine learning models are susceptible to adversarial attacks, requiring the testing of
Externí odkaz:
http://arxiv.org/abs/2308.16562
Ransomware-as-a-service (RaaS) is increasing the scale and complexity of ransomware attacks. Understanding the internal operations behind RaaS has been a challenge due to the illegality of such activities. The recent chat leak of the Conti RaaS opera
Externí odkaz:
http://arxiv.org/abs/2308.16061
Large Language Models (LLMs) have gained widespread popularity across diverse domains involving text generation, summarization, and various natural language processing tasks. Despite their inherent limitations, LLM-based designs have shown promising
Externí odkaz:
http://arxiv.org/abs/2308.12086
Honeypots are a well-known and widely used technology in the cybersecurity community, where it is assumed that placing honeypots in different geographical locations provides better visibility and increases effectiveness. However, how geolocation affe
Externí odkaz:
http://arxiv.org/abs/2305.01346
Autor:
Garcia, Sebastian, Valeros, Veronica
Most network security datasets do not have comprehensive label assignment criteria, hindering the evaluation of the datasets, the training of models, the results obtained, the comparison with other methods, and the evaluation in real-life scenarios.
Externí odkaz:
http://arxiv.org/abs/2305.01337