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Ahyoune, S., Altenmueller, K., Antolin, I., Basso, S., Brun, P., Candon, F. R., Castel, J. F., Cebrian, S., Chouhan, D., Della Ceca, R., Cervera-Cortes, M., Chernov, V., Civitani, M. M., Cogollos, C., Costa, E., Cotroneo, V., Dafni, T., Derbin, A., Desch, K., Diaz-Martin, M. C., Diaz-Morcillo, A., Diez-Ibanez, D., Pardos, C. Diez, Dinter, M., Doebrich, B., Drachnev, I., Dudarev, A., Ezquerro, A., Fabiani, S., Ferrer-Ribas, E., Finelli, F., Fleck, I., Galan, J., Galanti, G., Galaverni, M., Garcia, J. A., Garcia-Barcelo, J. M., Gastaldo, L., Giannotti, M., Giganon, A., Goblin, C., Goyal, N., Gu, Y., Hagge, L., Helary, L., Hengstler, D., Heuchel, D., Hoof, S., Iglesias-Marzoa, R., Iguaz, F. J., Iniguez, C., Irastorza, I. G., Jakovcic, K., Kaefer, D., Kaminski, J., Karstensen, S., Law, M., Lindner, A., Loidl, M., Loiseau, C., Lopez-Alegre, G., Lozano-Guerrero, A., Lubsandorzhiev, B., Luzon, G., Manthos, I., Margalejo, C., Marin-Franch, A., Marques, J., Marutzky, F., Menneglier, C., Mentink, M., Mertens, S., Miralda-Escude, J., Mirallas, H., Muleri, F., Muratova, V., Navarro-Madrid, J. R., Navick, X. F., Nikolopoulos, K., Notari, A., Nozik, A., Obis, L., Ortiz-de-Solorzano, A., O'Shea, T., von Oy, J., Pareschi, G., Papaevangelou, T., Perez, K., Perez, O., Picatoste, E., Pivovaroff, M. J., Porron, J., Puyuelo, M. J., Quintana, A., Redondo, J., Reuther, D., Ringwald, A., Rodrigues, M., Rubini, A., Rueda-Teruel, S., Rueda-Teruel, F., Ruiz-Choliz, E., Ruz, J., Schaffran, J., Schiffer, T., Schmidt, S., Schneekloth, U., Schoenfeld, L., Schott, M., Segui, L., Singh, U. R., Soffitta, P., Spiga, D., Stern, M., Straniero, O., Tavecchio, F., Unzhakov, E., Ushakov, N. A., Vecchi, G., Vogel, J. K., Voronin, D. M., Ward, R., Weltman, A., Wiesinger, C., Wolf, R., Yanes-Diaz, A., Yu, Y.
BabyIAXO is the intermediate stage of the International Axion Observatory (IAXO) to be hosted at DESY. Its primary goal is the detection of solar axions following the axion helioscope technique. Axions are converted into photons in a large magnet tha
Externí odkaz:
http://arxiv.org/abs/2411.13915
This practical experience report explores Neural Machine Translation (NMT) models' capability to generate offensive security code from natural language (NL) descriptions, highlighting the significance of contextual understanding and its impact on mod
Externí odkaz:
http://arxiv.org/abs/2408.02402
Context: AI code generators are revolutionizing code writing and software development, but their training on large datasets, including potentially untrusted source code, raises security concerns. Furthermore, these generators can produce incomplete c
Externí odkaz:
http://arxiv.org/abs/2404.07548
Autor:
Cotroneo, Domenico, Liguori, Pietro
Traditional software fault injection methods, while foundational, face limitations in adequately representing real-world faults, offering customization, and requiring significant manual effort and expertise. This paper introduces a novel methodology
Externí odkaz:
http://arxiv.org/abs/2404.07491
Publikováno v:
IEEE Security & Privacy, Early Access, February 2024
Recent advances of artificial intelligence (AI) code generators are opening new opportunities in software security research, including misuse by malicious actors. We review use cases for AI code generators for security and introduce an evaluation ben
Externí odkaz:
http://arxiv.org/abs/2402.01219
Advanced Persistent Threats (APTs) represent the most threatening form of attack nowadays since they can stay undetected for a long time. Adversary emulation is a proactive approach for preparing against these attacks. However, adversary emulation to
Externí odkaz:
http://arxiv.org/abs/2311.08274
Evaluating the correctness of code generated by AI is a challenging open problem. In this paper, we propose a fully automated method, named ACCA, to evaluate the correctness of AI-generated code for security purposes. The method uses symbolic executi
Externí odkaz:
http://arxiv.org/abs/2310.18834
Autor:
Nikolaos Mougios, Elena R. Cotroneo, Nils Imse, Jonas Setzke, Silvio O. Rizzoli, Nadja A. Simeth, Roman Tsukanov, Felipe Opazo
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-17 (2024)
Abstract Fluorescence microscopy has long been a transformative technique in biological sciences. Nevertheless, most implementations are limited to a few targets, which have been revealed using primary antibodies and fluorescently conjugated secondar
Externí odkaz:
https://doaj.org/article/5bcd67a9cc594ab696bec8f4b5f3b9a0
AI-based code generators have become pivotal in assisting developers in writing software starting from natural language (NL). However, they are trained on large amounts of data, often collected from unsanitized online sources (e.g., GitHub, HuggingFa
Externí odkaz:
http://arxiv.org/abs/2308.04451
Publikováno v:
Empir Software Eng 30, 7 (2025)
Since manually writing software exploits for offensive security is time-consuming and requires expert knowledge, AI-base code generators are an attractive solution to enhance security analysts' productivity by automatically crafting exploits for secu
Externí odkaz:
http://arxiv.org/abs/2306.05079