{"id":6731,"date":"2023-10-24T13:31:02","date_gmt":"2023-10-24T13:31:02","guid":{"rendered":"https:\/\/dailyai.com\/?p=6731"},"modified":"2023-10-24T13:31:02","modified_gmt":"2023-10-24T13:31:02","slug":"data-poisoning-tool-helps-artists-punish-ai-scrapers","status":"publish","type":"post","link":"https:\/\/dailyai.com\/pt\/2023\/10\/data-poisoning-tool-helps-artists-punish-ai-scrapers\/","title":{"rendered":"Ferramenta de envenenamento de dados ajuda os artistas a punir os \"scrapers\" de IA"},"content":{"rendered":"

Os investigadores da Universidade de Chicago desenvolveram uma nova ferramenta para \"envenenar\" os modelos de IA quando as empresas de IA incluem imagens nos seus conjuntos de dados sem consentimento.<\/strong><\/p>\n

Empresas como a OpenAI e a Meta foram alvo de cr\u00edticas e ac\u00e7\u00f5es judiciais devido ao facto de terem extra\u00eddo conte\u00fados em linha para treinar os seus modelos. Para que os geradores de texto-imagem como o DALL-E ou o Midjourney sejam eficazes, t\u00eam de ser treinados com grandes quantidades de dados visuais.<\/p>\n

Uma s\u00e9rie de artistas<\/a> queixaram-se de que estes geradores de imagens podem agora produzir imagens ao seu estilo, depois de terem retirado a sua arte sem consentimento.<\/p>\n

O os investigadores criaram o Nightshad<\/a>e, uma ferramenta que incorpora pix\u00e9is invis\u00edveis numa imagem que, subsequentemente, a torna \"venenosa\" para os modelos de IA.<\/p>\n

A IA generativa baseia-se em dados corretamente rotulados. Se um modelo de IA for treinado com milhares de imagens de gatos e todas as imagens estiverem identificadas como \"gato\", ent\u00e3o sabe qual deve ser o aspeto de um gato quando lhe pedimos para gerar uma imagem de um.<\/p>\n

O Nightshade incorpora dados na imagem que corrompem a classifica\u00e7\u00e3o da imagem. Assim, uma imagem de um castelo envenenado pelo Nightshade seria classificada como um cami\u00e3o velho, por exemplo. Os investigadores descobriram que a utiliza\u00e7\u00e3o de apenas 100 imagens para uma \u00fanica mensagem era eficaz para corromper um modelo.<\/p>\n

\"\"
As imagens geradas ficam cada vez mais corrompidas com mais dados envenenados. Fonte: arXiv<\/a><\/figcaption><\/figure>\n

O Nightshade \u00e9 uma m\u00e1 not\u00edcia para os geradores de imagens de IA<\/h2>\n

Um modelo afetado por dados envenenados pode ser levado a pensar que imagens de bolos s\u00e3o chap\u00e9us, ou que torradeiras s\u00e3o bolsas. Al\u00e9m de corromper a palavra espec\u00edfica visada pelo Nightshade, a corrup\u00e7\u00e3o tamb\u00e9m infecta conceitos mais amplos. Assim, corromper o r\u00f3tulo \"c\u00e3o\" estenderia a corrup\u00e7\u00e3o a termos como \"cachorro\" tamb\u00e9m.<\/p>\n

Se um n\u00famero suficiente de artistas come\u00e7ar a utilizar o Nightshade, as empresas poder\u00e3o ter muito mais cuidado com a obten\u00e7\u00e3o de consentimento antes de capturar imagens.<\/p>\n

A equipa de investiga\u00e7\u00e3o ir\u00e1 incorporar o Nightshade na ferramenta Glaze que tamb\u00e9m desenvolveu. O Glaze rotula incorretamente o estilo de uma imagem. Por exemplo, um artista que queira proteger o estilo do seu trabalho pode utilizar o Glaze para o rotular como \"impressionista\" quando na realidade \u00e9 \"pop art\".<\/p>\n

O facto de ferramentas como o Nightshade funcionarem t\u00e3o eficazmente real\u00e7a uma vulnerabilidade<\/a> em geradores de texto-imagem que poderiam ser explorados por actores maliciosos.<\/p>\n

Empresas como a OpenAI e a Stability AI afirmam que v\u00e3o respeitar a opt-outs \"n\u00e3o efetuar scraping<\/a> que os sites podem adicionar aos seus ficheiros robots.txt. Se as imagens envenenadas pelo Nightshade n\u00e3o forem raspadas, os modelos n\u00e3o ser\u00e3o afectados.<\/p>\n

No entanto, os actores maliciosos podem envenenar uma grande quantidade de imagens e disponibiliz\u00e1-las para recolha com a inten\u00e7\u00e3o de danificar os modelos de IA. A \u00fanica forma de contornar esta situa\u00e7\u00e3o \u00e9 atrav\u00e9s de melhores detectores de etiquetas ou revis\u00e3o humana<\/a>.<\/p>\n

O Nightshade far\u00e1 com que os artistas se sintam um pouco mais seguros ao colocarem os seus conte\u00fados online, mas poder\u00e1 causar s\u00e9rios problemas aos geradores de imagens com IA.<\/p>","protected":false},"excerpt":{"rendered":"

Os investigadores da Universidade de Chicago desenvolveram uma nova ferramenta para \"envenenar\" os modelos de IA quando as empresas de IA incluem imagens nos seus conjuntos de dados sem consentimento. Empresas como a OpenAI e a Meta t\u00eam sido alvo de cr\u00edticas e ac\u00e7\u00f5es judiciais devido ao facto de terem extra\u00eddo conte\u00fados em linha para treinar os seus modelos. Para que os geradores de texto-imagem como o DALL-E ou o Midjourney sejam eficazes, t\u00eam de ser treinados com grandes quantidades de dados visuais. V\u00e1rios artistas queixaram-se de que estes geradores de imagens podem agora produzir imagens ao seu estilo depois de terem recolhido a sua arte sem consentimento. Os investigadores criaram o Nightshade, uma ferramenta que incorpora imagens invis\u00edveis<\/p>","protected":false},"author":6,"featured_media":6218,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[165],"class_list":["post-6731","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-image-generation"],"yoast_head":"\nData poisoning tool helps artists punish AI scrapers | 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\/pt\/2023\/10\/data-poisoning-tool-helps-artists-punish-ai-scrapers\/\" \/>\n<meta property=\"og:locale\" content=\"pt_PT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Data poisoning tool helps artists punish AI scrapers | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Researchers from the University of Chicago developed a new tool to \u201cpoison\u201d AI models when AI companies include images in their datasets without consent. 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