Privacy-protecting data analysis investigates statistical methods under privacy constraints. This is a rising challenge in modern statistics, as the achievement of confidentiality guarantees, which typically occurs through suitable perturbations of the data, may determine a loss in the statistical utility of the data. In this paper, we consider privacy-protecting tests for goodness-of-fit in frequency tables, this being arguably the most common form of releasing data. Under the popular framework of $(\varepsilon,\delta)$-differential privacy for perturbed data, we introduce a private likelihood-ratio (LR) test for goodness-of-fit and we study its large sample properties, showing the importance of taking the perturbation into account to avoid a loss in the statistical significance of the test. Our main contribution provides a quantitative characterization of the trade-off between confidentiality, measured via differential privacy parameters $\varepsilon$ and $\delta$, and utility, measured via the power of the test. In particular, we establish a precise Bahadur-Rao type large deviation expansion for the power of the private LR test, which leads to: i) identify a critical quantity, as a function of the sample size and $(\varepsilon,\delta)$, which determines a loss in the power of the private LR test; ii) quantify the sample cost of $(\varepsilon,\delta)$-differential privacy in the private LR test, namely the additional sample size that is required to recover the power of the LR test in the absence of perturbation. Such a result relies on a novel multidimensional large deviation principle for sum of i.i.d. random vectors, which is of independent interest. Our work presents the first rigorous treatment of privacy-protecting LR tests for goodness-of-fit in frequency tables, making use of the power of the test to quantify the trade-off between confidentiality and utility.

Big data has become more important than ever in the realm of cybersecurity. You are going to have to know more about AI, data analytics and other big data tools if you want to be a cybersecurity professional. As far as computer and information technology occupations go, security awareness training is a key starting point for anyone interested in the bright future that this sector offers. The need for cybersecurity personnel, technicians, officers, developers, and trainers have never been greater. As the need for these professions grows, it also becomes more important for them to have a background in big data and other forms of technology.

Former Secretary of State Mike Pompeo weighs in on the Biden administration's handling of the U.S. troop withdrawal from Afghanistan and the botched Kabul drone strike. Former Secretary of State Mike Pompeo slammed the "failed" drone strike in Kabul that was aimed at ISIS-K terrorists, after the Pentagon admitted on Friday that the attack instead killed an aid worker and members of his family including seven children. Speaking with Fox News' "Sunday Morning Futures," Pompeo noted that "it's obviously a tragedy that civilians were killed" and argued that the botched strike "is just another piece of an evacuation that was driven by politics" and not driven by "putting America first." SANDERS CHARGES U.S. DRONE STRIKE THAT KILLED AFGHAN CHILDREN WAS'UNACCEPTABLE' Head of the U.S. Central Command Gen. Kenneth F. McKenzie Jr. announced Friday that it is unlikely any ISIS-K members were killed in the Kabul drone strike on August 29, which led to multiple civilian casualties. According to U.S. officials, the strike on the vehicle, formerly believed to have been a threat that included bombs and that was operated by ISIS-K militants, took place after a suicide bombing at Kabul airport in Afghanistan killed 13 U.S. service members and civilians.

The Transform Technology Summits start October 13th with Low-Code/No Code: Enabling Enterprise Agility. Artificial intelligence (AI) technologies offer profoundly important strategic benefits and hazards for global businesses and government agencies. One of AI's greatest strengths is its ability to engage in behavior typically associated with human intelligence -- such as learning, planning, and problem solving. AI, however, also brings new risks to organizations and individuals, and manifests those risks in perplexing ways. It is inevitable that AI will soon face increased regulation.

Fox News anchor Bret Baier offers analysis on that and other breaking news stories, on'Your World'. Sen. Bernie Sanders of Vermont is calling the U.S. drone strike in Afghanistan that mistakenly killed seven children "unacceptable." The comments by Sanders, the progressive champion and runner up to now-President Biden in the race for the 2020 Democratic nomination, comes in the wake of an acknowledgment by the Pentagon that the attack was a "tragic mistake." At the time of the August 29 attack, the Pentagon said the strike had targeted an Islamic State suicide bomber amid the U.S. led evacuation of Americans and Afghan allies at Kabul's international airport, during the final days of the U.S. withdrawal from the warn torn Central Asian nation. The head of U.S. Central Command, Marine Corps General Frank McKenzie, the head of the U.S. Central Command, said that at the time he was confident the drone strike took out averted an imminent threat to U.S. forces at the airport. But reports of civilian causalities quickly emerged and U.S. military leaders later concluded that the strike killed 10 civilians, including seven children.

Tesla isn't about to get a sympathetic ear from US regulators as it rolls out more semi-autonomous technology. New National Transportation Safety Board head Jennifer Homendy told The Wall Street Journal in an interview that Tesla needs to tackle "basic safety issues" before it expands features like Autopilot and Full Self Driving to more parts of the road. She also wasn't thrilled with Tesla beta-testing upgrades on public streets. Like other critics, the NTSB leader took issue with Tesla's naming schemes for its driver assists. The Full Self Driving label is "misleading and irresponsible," Homendy said, leading some to "misuse and abuse" it.

The United States government has set up a National Artificial Intelligence Initiative Office. Under the aegis of the White House Office of Science and Technology Policy (OSTP), the recently settled office will enhances the'endeavors to guarantee America's administration' in new-age innovations like AI and machine learning, data analytics, and so on. This office will help the US government to increase AI research investment, use AI computing and data resources from the federal government, set technical standards in AI and machine learning, building a workforce, and effectively engage with international partners. In the government AI readiness index 2020, India ranks 40th where the United States was on top, a direct result of a dedicated national AI strategy. This further repeats how having a cross-country structure for AI technique and execution is the need of the hour.

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. President Biden took major hits this week, from the Pentagon confirming that a "tragic mistake" led to 10 civilians in Afghanistan dying in a drone strike, to the Food and Drug Administration rejecting his vaccine booster proposal, with much of the news breaking as the president headed to the beach for vacation. "So the U.S. drone strike did NOT kill any ISIS-K but did kill 10 innocent civilians, including 7 children. The Biden administration is a sad, tragic mess and an utter embarrassment on the world stage!,"

The use of artificial intelligence in the hiring process has increased in recent years with companies turning to automated assessments, digital interviews, and data analytics to parse through resumes and screen candidates. But as IT strives for better diversity, equity, and inclusion (DEI), it turns out AI can do more harm than help if companies aren't strategic and thoughtful about how they implement the technology. "The bias usually comes from the data. If you don't have a representative data set, or any number of characteristics that you decide on, then of course you're not going to be properly, finding and evaluating applicants," says Jelena Kovačević, IEEE Fellow, William R. Berkley Professor, and Dean of the NYU Tandon School of Engineering. The chief issue with AI's use in hiring is that, in an industry that has been predominantly male and white for decades, the historical data on which AI hiring systems are built will ultimately have an inherent bias.

The European Commission believes that its proposed Artificial Intelligence Act should become the global standard if it is to be fully effective. The upcoming AI treaty that is being drafted by the Council of Europe might help the EU achieve just that. In April the European Commission launched its proposal for an Artificial Intelligence Act (AIA). Structured around a risk-based approach, the regulation introduces tighter obligations in proportion to the potential impact of AI applications. Commissioner Thierry Breton argued that "one should not underestimate the advantage of the EU being the first mover" and emphasised that the EU is the main "pacemaker" in regulating the use of AI on a global scale. In a similar vein, the Commission's director-general for communications networks, content and technology, Roberto Viola said that "equilibrium is key to have a horizontal risk-based approach in which many voices are heard to avoid extremism and create rules that last.