Zobrazeno 1 - 10
of 80
pro vyhledávání: '"BIFULCO, ROBERTO"'
Autor:
Gioacchini, Luca, Mellia, Marco, Drago, Idilio, Delsanto, Alexander, Siracusano, Giuseppe, Bifulco, Roberto
Generative AI agents, software systems powered by Large Language Models (LLMs), are emerging as a promising approach to automate cybersecurity tasks. Among the others, penetration testing is a challenging field due to the task complexity and the dive
Externí odkaz:
http://arxiv.org/abs/2410.03225
Large Language Models (LLMs) changed the way we design and interact with software systems. Their ability to process and extract information from text has drastically improved productivity in a number of routine tasks. Developers that want to include
Externí odkaz:
http://arxiv.org/abs/2406.12334
Autor:
Gioacchini, Luca, Siracusano, Giuseppe, Sanvito, Davide, Gashteovski, Kiril, Friede, David, Bifulco, Roberto, Lawrence, Carolin
The advances made by Large Language Models (LLMs) have led to the pursuit of LLM agents that can solve intricate, multi-step reasoning tasks. As with any research pursuit, benchmarking and evaluation are key corner stones to efficient and reliable pr
Externí odkaz:
http://arxiv.org/abs/2404.06411
Autor:
Siracusano, Giuseppe, Sanvito, Davide, Gonzalez, Roberto, Srinivasan, Manikantan, Kamatchi, Sivakaman, Takahashi, Wataru, Kawakita, Masaru, Kakumaru, Takahiro, Bifulco, Roberto
Cyber Threat Intelligence (CTI) plays a crucial role in assessing risks and enhancing security for organizations. However, the process of extracting relevant information from unstructured text sources can be expensive and time-consuming. Our empirica
Externí odkaz:
http://arxiv.org/abs/2307.10214
Autor:
Sanvito, Davide, Siracusano, Giuseppe, Santhanam, Sharan, Gonzalez, Roberto, Bifulco, Roberto
While monitoring system behavior to detect anomalies and failures is important, existing methods based on log-analysis can only be as good as the information contained in the logs, and other approaches that look at the OS-level software state introdu
Externí odkaz:
http://arxiv.org/abs/2203.15324
Publikováno v:
The Programmable Data Plane: Abstractions, Architectures, Algorithms, and Applications. ACM Comput. Surv. 54, 4, Article 82 (July 2021)
Programmable data plane technology enables the systematic reconfiguration of the low-level processing steps applied to network packets and is a key driver in realizing the next generation of network services and applications. This survey presents rec
Externí odkaz:
http://arxiv.org/abs/2110.00631
Autor:
Brunella, Marco Spaziani, Belocchi, Giacomo, Bonola, Marco, Pontarelli, Salvatore, Siracusano, Giuseppe, Bianchi, Giuseppe, Cammarano, Aniello, Palumbo, Alessandro, Petrucci, Luca, Bifulco, Roberto
FPGA accelerators on the NIC enable the offloading of expensive packet processing tasks from the CPU. However, FPGAs have limited resources that may need to be shared among diverse applications, and programming them is difficult. We present a solutio
Externí odkaz:
http://arxiv.org/abs/2010.14145
Autor:
Siracusano, Giuseppe, Galea, Salvator, Sanvito, Davide, Malekzadeh, Mohammad, Haddadi, Hamed, Antichi, Gianni, Bifulco, Roberto
In this paper we show that the data plane of commodity programmable (Network Interface Cards) NICs can run neural network inference tasks required by packet monitoring applications, with low overhead. This is particularly important as the data transf
Externí odkaz:
http://arxiv.org/abs/2009.02353
Autor:
Siracusano, Giuseppe, Bifulco, Roberto
We present N2Net, a system that implements binary neural networks using commodity switching chips deployed in network switches and routers. Our system shows that these devices can run simple neural network models, whose input is encoded in the networ
Externí odkaz:
http://arxiv.org/abs/1801.05731
Autor:
Siracusano, Giuseppe, Bifulco, Roberto, Trevisan, Martino, Jacobs, Tobias, Kuenzer, Simon, Salsano, Stefano, Blefari-Melazzi, Nicola, Huici, Felipe
We explore the opportunities and design options enabled by novel SDN and NFV technologies, by re-designing a dynamic Content Delivery Network (CDN) service. Our system, named MOSTO, provides performance levels comparable to that of a regular CDN, but
Externí odkaz:
http://arxiv.org/abs/1709.04437