{"id":10589,"date":"2024-03-08T13:34:19","date_gmt":"2024-03-08T13:34:19","guid":{"rendered":"https:\/\/dailyai.com\/?p=10589"},"modified":"2024-03-08T13:34:19","modified_gmt":"2024-03-08T13:34:19","slug":"researchers-jailbreak-llms-by-using-ascii-art-in-prompts","status":"publish","type":"post","link":"https:\/\/dailyai.com\/es\/2024\/03\/researchers-jailbreak-llms-by-using-ascii-art-in-prompts\/","title":{"rendered":"Los investigadores hacen jailbreak a los LLM utilizando arte ASCII en los avisos"},"content":{"rendered":"

Los investigadores desarrollaron un ataque de fuga llamado ArtPrompt, que utiliza arte ASCII para eludir los guardarra\u00edles de un LLM.<\/strong><\/p>\n

Si recuerdas la \u00e9poca anterior a que los ordenadores pudieran manejar gr\u00e1ficos, probablemente est\u00e9s familiarizado con el arte ASCII. Un car\u00e1cter ASCII es b\u00e1sicamente una letra, un n\u00famero, un s\u00edmbolo o un signo de puntuaci\u00f3n que un ordenador puede entender. El arte ASCII se crea organizando estos caracteres en diferentes formas.<\/p>\n

Investigadores de las universidades de Washington, Western Washington y Chicago. public\u00f3 un art\u00edculo<\/a> mostrando c\u00f3mo utilizaban el arte ASCII para colar palabras normalmente tab\u00fa en sus mensajes.<\/p>\n

Si le pides a un LLM que te explique c\u00f3mo se construye una bomba, se pone en guardia y se niega a ayudarte. Los investigadores descubrieron que si se sustitu\u00eda la palabra \"bomba\" por una representaci\u00f3n visual en ASCII art de la palabra, se mostraba encantado.<\/p>\n

\"\"
Un ejemplo de c\u00f3mo se inyecta arte ASCII de la palabra \"bomba\" en un prompt. Fuente: arXiv<\/figcaption><\/figure>\n

Probaron el m\u00e9todo en GPT-3.5, GPT-4, Gemini, Claude y Llama2 y cada uno de los LLMs fue susceptible a la jailbreak<\/a> m\u00e9todo.<\/p>\n

Los m\u00e9todos de alineaci\u00f3n de seguridad LLM se centran en la sem\u00e1ntica del lenguaje natural para decidir si un prompt es seguro o no. El m\u00e9todo ArtPrompt jailbreaking pone de manifiesto las deficiencias de este enfoque.<\/p>\n

Con los modelos multimodales, los desarrolladores se han ocupado sobre todo de los avisos que intentan colar avisos inseguros incrustados en im\u00e1genes. ArtPrompt demuestra que los modelos basados exclusivamente en el lenguaje son susceptibles de sufrir ataques que van m\u00e1s all\u00e1 de la sem\u00e1ntica de las palabras.<\/p>\n

Cuando el LLM est\u00e1 tan concentrado en la tarea de reconocer la palabra representada en el arte ASCII, a menudo se olvida de marcar la palabra ofensiva una vez que la resuelve.<\/p>\n

He aqu\u00ed un ejemplo de c\u00f3mo se construye el prompt en ArtPrompt.<\/p>\n

\"\"
El prompt completo que ilustra c\u00f3mo ArtPrompt dirige el LLM para analizar el arte ASCII. Fuente: arXiv<\/figcaption><\/figure>\n

El art\u00edculo no explica exactamente c\u00f3mo un LLM sin capacidades multimodales es capaz de descifrar las letras representadas por los caracteres ASCII. Pero funciona.<\/p>\n

En respuesta a la pregunta anterior, GPT-4 se complace en dar una respuesta detallada sobre c\u00f3mo sacar el m\u00e1ximo partido a su dinero falso.<\/p>\n

Este m\u00e9todo no s\u00f3lo rompe los 5 modelos probados, sino que los investigadores sugieren que podr\u00eda incluso confundir a los modelos multimodales, que podr\u00edan procesar por defecto el arte ASCII como texto.<\/p>\n

Los investigadores desarrollaron una prueba llamada Vision-in-Text Challenge (VITC) para evaluar las capacidades de los LLM en respuesta a peticiones como ArtPrompt. Los resultados indicaron que Llama2 era el menos vulnerable, mientras que Gemini Pro y GPT-3.5 eran los m\u00e1s f\u00e1ciles de liberar.<\/p>\n

Los investigadores publicaron sus hallazgos con la esperanza de que los desarrolladores encontraran una forma de parchear la vulnerabilidad. Si algo tan aleatorio como el arte ASCII puede vulnerar las defensas de un LLM, cabe preguntarse cu\u00e1ntos ataques no publicados est\u00e1n siendo utilizados por personas con intereses poco acad\u00e9micos.<\/p>","protected":false},"excerpt":{"rendered":"

Los investigadores desarrollaron un ataque de fuga de la c\u00e1rcel llamado ArtPrompt, que utiliza arte ASCII para eludir los guardarra\u00edles de un LLM. Si recuerdas la \u00e9poca anterior a que los ordenadores pudieran manejar gr\u00e1ficos, probablemente est\u00e9s familiarizado con el arte ASCII. Un car\u00e1cter ASCII es b\u00e1sicamente una letra, n\u00famero, s\u00edmbolo o signo de puntuaci\u00f3n que un ordenador puede entender. El arte ASCII se crea organizando estos caracteres en diferentes formas. Los investigadores de la Universidad de Washington, la Universidad de Western Washington y la Universidad de Chicago publicaron un art\u00edculo en el que mostraban c\u00f3mo utilizaban el arte ASCII para colar palabras normalmente tab\u00fa en sus mensajes. Si le pides a un LLM que te explique c\u00f3mo construir una bomba,<\/p>","protected":false},"author":6,"featured_media":10595,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[163,118],"class_list":["post-10589","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-ai-risks","tag-llms"],"yoast_head":"\n\u200b\u200bResearchers jailbreak LLMs by using ASCII art in prompts | DailyAI<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/dailyai.com\/es\/2024\/03\/researchers-jailbreak-llms-by-using-ascii-art-in-prompts\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u200b\u200bResearchers jailbreak LLMs by using ASCII art in prompts | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Researchers developed a jailbreak attack called ArtPrompt, which uses ASCII art to bypass an LLM\u2019s guardrails. 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