One more U.S. Embassy employee in Havana, Cuba, has been affected by mysterious health incidents, the State Department said.
State Department spokeswoman Heather Nauert said one of two Americans recently evacuated from Cuba was “medically confirmed” to have been affected, while the other was “still being evaluated” by doctors.
25 Americans affected
In all, 25 Americans have been affected by the mystery ailment in Cuba.
“We still don’t know, to this day, what is causing it and who is responsible,” Nauert said, noting that investigations were underway in Havana as well as Guangzhou, China, where one employee experienced similar symptoms recently.
The United States has said that the Cuba incidents started in late 2016. The State Department calls them “specific attacks” but has not said what caused them or who was behind them. Cuba has adamantly denied involvement or knowledge.
Initial speculation centered on some type of sonic attack owing to strange sounds heard by those affected, but an interim FBI report in January found no evidence that sound waves could have caused the damage, The Associated Press has reported.
Warning issued in China
The State Department issued a health warning after the employee in China reported experiencing “subtle and vague, but abnormal, sensations of sound and pressure” and was diagnosed with a mild traumatic brain injury.
Secretary of State Mike Pompeo described it as a “serious medical incident.”
The new confirmation came less than a week after the U.S. renewed demands on Cuba to determine the source of the “attacks” on U.S. diplomats. Cuba responded by again denying any involvement in or knowledge of any such attacks. (VOA)
Researchers have developed an Artificial Intelligence (AI)-based system that automatically learns to evade censorship in India, China and Kazakhstan.
The tool, called Geneva (short for Genetic Evasion), found dozens of ways to circumvent censorship by exploiting gaps in censors’ logic and finding bugs that the researchers said would have been virtually impossible for humans to find manually.
The researchers are scheduled to introduce Geneva during a peer-reviewed talk at the Association for Computing Machinery’s 26th Conference on Computer and Communications Security in London on Thursday.
“With Geneva, we are, for the first time, at a major advantage in the censorship arms race,” said Dave Levin, an assistant professor of computer science at the University of Maryland in the US and senior author of the paper.
“Geneva represents the first step toward a whole new arms race in which artificial intelligence systems of censors and evaders compete with one another. Ultimately, winning this race means bringing free speech and open communication to millions of users around the world who currently don’t have them,” Levin said.\
To demonstrate that Geneva worked in the real world against undiscovered censorship strategies, the team ran Geneva on a computer in China with an unmodified Google Chrome browser installed.
By deploying strategies identified by Geneva, the user was able to browse free of keyword censorship.
The researchers also successfully evaded censorship in India, which blocks forbidden URLs, and Kazakhstan, which was eavesdropping on certain social media sites at the time, said a statement from the University of Maryland.
All information on the Internet is broken into data packets by the sender’s computer and reassembled by the receiving computer.
One prevalent form of Internet censorship works by monitoring the data packets sent during an Internet search.
The censor blocks requests that either contain flagged keywords (such as “Tiananmen Square” in China) or prohibited domain names (such as “Wikipedia” in many countries).
When Geneva is running on a computer that is sending out web requests through a censor, it modifies how data is broken up and sent, so that the censor does not recognise forbidden content or is unable to censor the connection.
Known as a genetic algorithm, Geneva is a biologically inspired type of AI that Levin and his team developed to work in the background as a user browses the web from a standard Internet browser.
Like biological systems, Geneva forms sets of instructions from genetic building blocks. But rather than using DNA as building blocks, Geneva uses small pieces of code.
Individually, the bits of code do very little, but when composed into instructions, they can perform sophisticated evasion strategies for breaking up, arranging or sending data packets.
The tool evolves its genetic code through successive attempts (or generations). With each generation, Geneva keeps the instructions that work best at evading censorship and kicks out the rest.