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infoq.com

A pesquisa mostrou que modelos de machine learning podem expor informações pessoais presentes nos dados de treinamento. Essa vulnerabilidade expõe informações confidenciais dos usuários a hackers experientes que sabem como invadir uma API de machine learning. Detalhes de ataques à privacidade contra esses modelos são explorados e soluções em potencial deste problema de segurança serão discutidas.

cs.unc.edu

June marks the month-long celebration of LGBTQ+ pride and community. UNC CS honors Pride Month and supports LGBTQ+ students, faculty, and staff by sharing campus, local, and national resources and highlighting the history of LGBTQ+ individuals in tech.

blogger.com

Publish your passions your way. Whether you’d like to share your knowledge, experiences or the latest news, create a unique and beautiful blog.

facebook.com

log into facebook to start sharing and connecting with your friends, family, and people you know.

google.com

Learn about the Certified Publisher Program. Our publishing software experts will help you maximize revenue and grow your business.

research.ibm.com

Much of the information that can help transform enterprises is locked away in text, like documents, tables, and charts. We’re building advanced AI systems that can parse vast bodies of text to help unlock that data, but also ones flexible enough to be applied to any language problem.