Trump campaign attacks Fox News polling expert who called Arizona for Biden

Nov 5 (Reuters) – U.S. President Donald Trump’s campaign on Thursday attacked the person at Fox News responsible for the network’s projection calling Arizona for Democratic presidential candidate Joe Biden as a “Clinton-voting, Biden-donating Democrat.”

With Arizona in Biden’s column, he would have 264 of the 270 Electoral College votes needed to win the White House, putting him closer to victory and narrowing his Republican opponent’s path to re-election.

Trump’s campaign website said, “decision desk” director Arnon Mishkin “prematurely called Arizona for Joe Biden before hundreds of thousands of ballots had been counted. Even left-leaning election analysts like (538’s) Nate Silver have criticized the decision, but Mishkin is standing by his terrible decision despite and refusing to retract his unjustified call.”

The website added that Mishkin: “has a long record of donating to Democrats, including the 2008 Obama-Biden campaign.”

Fox News, controlled by Rupert Murdoch’s

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Business Email Compromise (BEC) Attacks Rise in 75% of Industries According to Abnormal Security Research

BEC Campaign Attack Volume Increases 15% in Q3 2020; Invoice and Payment Fraud Attacks Rise 155% Quarter-over-Quarter, Partially Fueled by Pandemic

Abnormal Security, a next-generation email security company, today released the Abnormal Security Quarterly BEC Report for Q3 2020. The research, which analyzes business email compromise attacks tracked by Abnormal from July-September 2020, found that BEC campaign volume increased 15% quarter-over-quarter, driven by an explosion in invoice and payment fraud.

“As the industry’s only measure of BEC attack volume by industry, our quarterly BEC research is important for CISOs to prepare and stay ahead of attackers,” said Evan Reiser, CEO of Abnormal Security. “Not only are BEC campaigns continuing to increase overall, they are rising in 75% of industries that we track. Since these attacks are targeted and sophisticated, these increases could indicate an ability for threat actors to scale that may overwhelm some businesses.”

For this research, Abnormal Security

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Republican House candidate’s website attacks critic for going to ‘work for non-white males’

A House candidate considered a rising star in the GOP launched a campaign attack website accusing a critic of going “to work for non-white males, like Cory Booker, who aims to ruin white males running for office.”

The language on Madison Cawthorn’s “Moe Taxes” website was changed Thursday night after it was first reported by the website The Bulwark.

Cawthorn blamed poor “syntax” for the racist message, which he said didn’t “convey my intended meaning.”

“The syntax of our language was unclear and unfairly implied I was criticizing (New Jersey senator) Cory Booker,” he said in a statement he posted on Twitter. “My intended meaning was, and is, to condemn left-wing identity politics that is dangerous and divisive. I have condemned racism and identity politics throughout my campaign.”

The intended target of the attack was Tom Fiedler, a political journalist turned university dean who now works for a local

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Microsoft and MITRE release framework to help fend off adversarial AI attacks

Microsoft, the nonprofit MITRE Corporation, and 11 organizations including IBM, Nvidia, Airbus, and Bosch today released the Adversarial ML Threat Matrix, an industry-focused open framework designed to help security analysts to detect, respond to, and remediate threats against machine learning systems. Microsoft says it worked with MITRE to build a schema that organizes the approaches employed by malicious actors in subverting machine learning models, bolstering monitoring strategies around organizations’ mission-critical systems.

According to a Gartner report, through 2022, 30% of all AI cyberattacks will leverage training-data poisoning, model theft, or adversarial samples to attack machine learning-powered systems. Despite these reasons to secure systems, Microsoft claims its internal studies find most industry practitioners have yet to come to terms with adversarial machine learning. Twenty-five out of the 28 businesses responding to the Seattle company’s recent survey indicated they don’t have the right tools in place to secure their machine learning models.

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A Harvard Professor And His Students Have Raised $14 Million To Quash Adversarial AI Attacks

Yaron Singer climbed the tenure track ladder to a full professorship at Harvard in seven years, fueled by his work on adversarial machine learning, a way to fool artificial intelligence models using misleading data. Now, Singer’s startup Robust Intelligence, which he formed with a former Ph.D. advisee and two former students, is emerging from stealth to take his research to market.

This year, artificial intelligence is set to account for $50 billion in corporate spending, though companies are still figuring out how to implement the technology into their business processes. Companies are still figuring out, too, how to protect their AI from bad AI, like an algorithmically-generated voice deepfake that can spoof voice

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6 Russians charged over most ‘destructive series of computer attacks ever attributed to a single group’

The Department of Justice has announced charges against six Russian intelligence officers in connection with a series of majorly “disruptive and destructive” cyberattacks.

The DOJ on Monday said that a federal grand jury had indicted six Russian computer hackers, officers of the Russian Main Intelligence Directorate (GRU), for their role in a series of “computer intrusions and attacks” conducted from 2015 through 2019 “for the strategic benefit of Russia.” This allegedly included malware attacks against Ukraine’s electric power grid, as well as efforts to disrupt France’s 2017 elections and the 2018 Winter Olympics.

Officials also said the defendants were responsible for “destructive malware attacks that infected computers worldwide” and led to nearly $1 billion in losses.

The alleged hackers, The Washington Post notes, are a part of the same intelligence agency previously charged over interference in the 2016 U.S. presidential election, although the indictment unsealed on Monday didn’t include charges

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