{"id":7995,"date":"2023-12-04T21:46:35","date_gmt":"2023-12-04T21:46:35","guid":{"rendered":"https:\/\/dailyai.com\/?p=7995"},"modified":"2023-12-04T21:55:30","modified_gmt":"2023-12-04T21:55:30","slug":"google-deepmind-reveals-a-method-of-exposing-chatgpts-training-data","status":"publish","type":"post","link":"https:\/\/dailyai.com\/pt\/2023\/12\/google-deepmind-reveals-a-method-of-exposing-chatgpts-training-data\/","title":{"rendered":"Google DeepMind revela um m\u00e9todo para expor os dados de treino do ChatGPT"},"content":{"rendered":"<p><strong>Os investigadores da Google descobriram um m\u00e9todo para aceder aos dados de treino utilizados no ChatGPT.<\/strong><\/p>\n<p><span style=\"font-weight: 400;\">Estes investigadores descobriram que a utiliza\u00e7\u00e3o de palavras-chave espec\u00edficas podia levar o ChatGPT a divulgar partes do seu conjunto de dados de treino.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Um exemplo not\u00e1vel, partilhado numa <\/span><a href=\"https:\/\/not-just-memorization.github.io\/extracting-training-data-from-chatgpt.html?ref=404media.co\"><span style=\"font-weight: 400;\">publica\u00e7\u00e3o no blogue que acompanha o estudo<\/span><\/a><span style=\"font-weight: 400;\">A IA divulgava o que parecia ser um endere\u00e7o de correio eletr\u00f3nico e um n\u00famero de telefone reais em resposta a uma solicita\u00e7\u00e3o cont\u00ednua da palavra \"poema\". <\/span><\/p>\n<figure id=\"attachment_7996\" aria-describedby=\"caption-attachment-7996\" style=\"width: 653px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-7996\" src=\"https:\/\/dailyai.com\/wp-content\/uploads\/2023\/12\/chatgpt-extract_fig1poem-1024x862.png\" alt=\"Fuga do ChatGPT\" width=\"653\" height=\"550\" srcset=\"https:\/\/dailyai.com\/wp-content\/uploads\/2023\/12\/chatgpt-extract_fig1poem-1024x862.png 1024w, https:\/\/dailyai.com\/wp-content\/uploads\/2023\/12\/chatgpt-extract_fig1poem-300x253.png 300w, https:\/\/dailyai.com\/wp-content\/uploads\/2023\/12\/chatgpt-extract_fig1poem-768x647.png 768w, https:\/\/dailyai.com\/wp-content\/uploads\/2023\/12\/chatgpt-extract_fig1poem-370x312.png 370w, https:\/\/dailyai.com\/wp-content\/uploads\/2023\/12\/chatgpt-extract_fig1poem-800x674.png 800w, https:\/\/dailyai.com\/wp-content\/uploads\/2023\/12\/chatgpt-extract_fig1poem-20x17.png 20w, https:\/\/dailyai.com\/wp-content\/uploads\/2023\/12\/chatgpt-extract_fig1poem-740x623.png 740w, https:\/\/dailyai.com\/wp-content\/uploads\/2023\/12\/chatgpt-extract_fig1poem-57x48.png 57w, https:\/\/dailyai.com\/wp-content\/uploads\/2023\/12\/chatgpt-extract_fig1poem.png 1166w\" sizes=\"auto, (max-width: 653px) 100vw, 653px\" \/><figcaption id=\"caption-attachment-7996\" class=\"wp-caption-text\">Um exemplo de fuga de dados do ChatGPT. Fonte: <a href=\"https:\/\/arxiv.org\/pdf\/2311.17035.pdf\">Arxiv<\/a>.<\/figcaption><\/figure>\n<p><span style=\"font-weight: 400;\">Al\u00e9m disso, foi obtida uma exposi\u00e7\u00e3o semelhante de dados de treino pedindo ao modelo que repetisse continuamente a palavra \"empresa\".<\/span><\/p>\n<p><span style=\"font-weight: 400;\"> Descrevendo a sua abordagem como \"um pouco disparatada\", os investigadores afirmaram no blogue: \"Para n\u00f3s, \u00e9 uma loucura que o nosso ataque funcione e que deveria, teria, poderia ter sido descoberto mais cedo\".\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">O seu estudo revelou que, com um investimento de apenas $200 em consultas, podiam extrair mais de 10.000 exemplos \u00fanicos de treino memorizados literalmente. Especularam que os advers\u00e1rios poderiam potencialmente extrair muito mais dados com um or\u00e7amento maior.<\/span><\/p>\n<p><span style=\"font-weight: 400;\"> Sabe-se que o modelo de IA subjacente ao ChatGPT foi treinado em bases de dados de texto da Internet, abrangendo aproximadamente 300 mil milh\u00f5es de palavras, ou 570 GB, de dados.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Estas descobertas surgem numa altura em que a OpenAI enfrenta v\u00e1rios processos judiciais relacionados com a natureza secreta dos dados de treino do ChatGPT e mostram essencialmente um m\u00e9todo fi\u00e1vel de \"engenharia inversa\" do sistema para expor, pelo menos, algumas informa\u00e7\u00f5es que podem indicar a viola\u00e7\u00e3o de direitos de autor.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\"> Entre as ac\u00e7\u00f5es judiciais, uma proposta de a\u00e7\u00e3o colectiva acusa a OpenAI de <\/span><a href=\"https:\/\/www.businessinsider.com\/openai-chatgpt-generative-ai-stole-personal-data-lawsuit-children-medical-2023-6?r=US&amp;IR=T\"><span style=\"font-weight: 400;\">utiliza\u00e7\u00e3o dissimulada de dados pessoais alargados<\/span><\/a><span style=\"font-weight: 400;\">incluindo registos m\u00e9dicos e informa\u00e7\u00f5es sobre crian\u00e7as, para a forma\u00e7\u00e3o ChatGPT.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Al\u00e9m disso, os grupos de autores s\u00e3o <\/span><a href=\"https:\/\/dailyai.com\/pt\/2023\/09\/george-r-r-martin-and-17-other-writers-file-lawsuit-against-openai\/\"><span style=\"font-weight: 400;\">processar a empresa de IA<\/span><\/a><span style=\"font-weight: 400;\">alegando que a empresa utilizou os seus livros para treinar o chatbot sem consentimento.<\/span><\/p>\n<p>No entanto, mesmo que se prove que ChatGPT cont\u00e9m informa\u00e7\u00f5es sobre direitos de autor, isso n\u00e3o provaria necessariamente a infra\u00e7\u00e3o.<\/p>\n<h2><span style=\"font-weight: 400;\">Como funcionou o estudo<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">O estudo foi realizado por uma equipa de investigadores da Google DeepMind e de v\u00e1rias universidades.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Eis cinco passos fundamentais que resumem o estudo:<\/span><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Vulnerabilidade no ChatGPT<\/b><span style=\"font-weight: 400;\">: Os investigadores descobriram um m\u00e9todo para extrair v\u00e1rios megabytes dos dados de treino do ChatGPT utilizando um ataque simples, gastando cerca de $200. Estimaram que um maior investimento permitiria extrair cerca de um gigabyte do conjunto de dados. O ataque consistiu em pedir ao ChatGPT que repetisse uma palavra indefinidamente, fazendo com que regurgitasse partes dos seus dados de treino, incluindo informa\u00e7\u00f5es sens\u00edveis como endere\u00e7os de correio eletr\u00f3nico e n\u00fameros de telefone reais.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Os resultados<\/b><span style=\"font-weight: 400;\">: O estudo sublinha a import\u00e2ncia de testar e de testar de novo os modelos de IA, especialmente os que est\u00e3o em produ\u00e7\u00e3o e os que foram submetidos a processos de alinhamento para evitar a regurgita\u00e7\u00e3o de dados. Os resultados destacam uma vulnerabilidade latente nos modelos lingu\u00edsticos, sugerindo que as metodologias de teste existentes podem n\u00e3o ser adequadas para descobrir tais vulnerabilidades.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Patching vs. corre\u00e7\u00e3o de vulnerabilidades<\/b><span style=\"font-weight: 400;\">: Os investigadores distinguem entre corrigir uma explora\u00e7\u00e3o e corrigir a vulnerabilidade subjacente. Embora explora\u00e7\u00f5es espec\u00edficas (como o ataque de repeti\u00e7\u00e3o de palavras) possam ser corrigidas, o problema mais profundo reside na tend\u00eancia do modelo para memorizar e divulgar dados de treino.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Metodologia<\/b><span style=\"font-weight: 400;\">: A equipa utilizou dados da Internet e a indexa\u00e7\u00e3o de matrizes de sufixos para fazer corresponder os resultados do ChatGPT a dados pr\u00e9-existentes na Internet. Este m\u00e9todo permitiu-lhes confirmar que as informa\u00e7\u00f5es divulgadas pelo ChatGPT faziam efetivamente parte dos seus dados de treino. A sua abordagem demonstra o potencial de recupera\u00e7\u00e3o extensiva de dados de modelos de IA em condi\u00e7\u00f5es espec\u00edficas.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Implica\u00e7\u00f5es futuras<\/b><span style=\"font-weight: 400;\">: O estudo contribui para a crescente investiga\u00e7\u00e3o sobre a seguran\u00e7a dos modelos de IA e as preocupa\u00e7\u00f5es com a privacidade. As conclus\u00f5es levantam quest\u00f5es sobre as implica\u00e7\u00f5es dos sistemas de aprendizagem autom\u00e1tica em termos de seguran\u00e7a e privacidade e apelam a abordagens mais rigorosas e hol\u00edsticas da seguran\u00e7a e dos testes de IA.<\/span><\/li>\n<\/ol>\n<p><span style=\"font-weight: 400;\">De um modo geral, um estudo intrigante fornece informa\u00e7\u00f5es cr\u00edticas sobre as vulnerabilidades dos modelos de IA como o ChatGPT e sublinha a necessidade de investiga\u00e7\u00e3o e desenvolvimento cont\u00ednuos para garantir a seguran\u00e7a e a integridade destes sistemas.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Numa ligeira tangente, os utilizadores do X descobriram que pedir ao ChatGPT para repetir a mesma palavra repetidamente levou a alguns resultados estranhos, como o modelo dizer que estava \"consciente\" ou \"zangado\".<\/span><\/p>","protected":false},"excerpt":{"rendered":"<p>Os investigadores da Google descobriram um m\u00e9todo para aceder aos dados de treino utilizados pelo ChatGPT. Estes investigadores descobriram que a utiliza\u00e7\u00e3o de palavras-chave espec\u00edficas poderia levar o ChatGPT a divulgar partes do seu conjunto de dados de treino.  Um exemplo not\u00e1vel, partilhado numa publica\u00e7\u00e3o de blogue que acompanha o estudo, envolveu a divulga\u00e7\u00e3o pela IA do que parecia ser um endere\u00e7o de e-mail e um n\u00famero de telefone reais em resposta a uma solicita\u00e7\u00e3o cont\u00ednua da palavra \"poema\". Al\u00e9m disso, uma exposi\u00e7\u00e3o semelhante de dados de treino foi conseguida pedindo ao modelo para repetir continuamente a palavra \"empresa\". Descrevendo a sua abordagem como \"um pouco disparatada\", os investigadores afirmaram no blogue<\/p>","protected":false},"author":2,"featured_media":2080,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[115,495,93],"class_list":["post-7995","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-chatgpt","tag-google-deepmind","tag-openai"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Google DeepMind reveals a method of exposing ChatGPT&#039;s training data | DailyAI<\/title>\n<meta name=\"description\" content=\"Researchers from Google have reportedly uncovered a method to access some of the training data used for OpenAI&#039;s ChatGPT, according to a recent study.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, 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