Page 3 - Confidential Data News Today

Data supposedly belonging to the University of the West of Scotland is being auctioned by a cyber gang.

Some companies are hiring for employees with ChatGPT expertise, but others are limiting their employees from using the AI due to privacy concerns.

The growing crisis across america weve been covering for months. last month the nypd chief of detectives estimating 98% of drugs in new york city are laced with fentanyl. according to the national institute on drug abuse more than 100,000 people in the u.s. die from drug involved overdose deaths in 2021 including a majority from illicit drugs and prescription opioids. ro robert deniro and his family are working with nypd to figure out if there is progress on who sold this. >> shannon: the story ...

Sales Agreement June 26, 2023 Cantor Fitzgerald Canada Corporation 181 University Avenue, Suite 1500 Toronto, Ontario M5H 3M7 Cantor Fitzgerald & Co. 110 East 59th Street ...

Google's parent company Alphabet is warning employees about how they use AI chatbots — including its own tool called Bard, Reuters reports. That's despite the company making huge investments in the tech and heavily marketing Bard worldwide. Alphabet, however, is more worried about having employees give over confidential data to these chatbots, something that […]

Hanssen, who was sentenced to life in prison for espionage in 2002, had received over $1.4 million in cash, diamonds, and funds deposited into Russian accounts

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US Department of Justice (DOJ) has charged a former Apple engineer with theft and attempted theft of trade secrets., Technology & Science News, Times Now

TUSD notified staff just days after the attack that the cybercriminals claimed to have stolen confidential data, but TUSD leaders didn’t tell parents and students.

Providing access to synthetic micro-data in place of confidential data to protect the privacy of participants is common practice. For the synthetic data to be useful for analysis, it is necessary that the density function of the synthetic data closely approximate the confidential data. Hence, accurately estimating the density function based on sample micro-data is important. Existing kernel-based, copula-based, and machine learning methods of joint density estimation may not be viable. Applying ...