Anonymous ID: e6bd4a Oct. 23, 2020, 3:07 a.m. No.11234112   🗄️.is 🔗kun

https://twitter.com/IvankaTrump/status/1319358716987277312

Yesterday @realDonaldTrump granted Duke Tanner clemency after 16 years in prison.

Duke was sentenced to life in prison for a 1st time, non-violent crime because of Joe Biden’s 1994 crime bill.

We pray that you will do much good with your second chance Duke!

Anonymous ID: e6bd4a Oct. 23, 2020, 3:20 a.m. No.11234208   🗄️.is 🔗kun   >>4324 >>4437 >>4542 >>4613 >>4740

https://www.theguardian.com/uk-news/2020/oct/23/prince-andrew-asked-ghislaine-maxwell-about-accuser-documents-suggest

Prince Andrew asked Ghislaine Maxwell about accuser, documents suggest

Prince Andrew asked Ghislaine Maxwell for information about a woman who had accused him of sexual misconduct while she was underage, court documents appear to show.

The deposition, relating to Maxwell’s relationship with the late sex offender Jeffrey Epstein that she had given during past civil litigation involving the accuser, Virginia Giuffre, was unsealed on Thursday, moments before a court-imposed deadline.

It was made in 2016 as Maxwell faced a long list of questions about Epstein and his interactions with young women, including Giuffre.

Maxwell issued a public statement denying Giuffre’s claims that she helped Epstein abuse her on 2 January 2015. In her deposition, Maxwell confirmed that the following day she sent an email, stating: “Have some info. Call me when you have a moment.” The recipient’s name is redacted but the subject matter – Giuffre – and timing strongly suggest that it went to Prince Andrew.

“What did you discuss on that call?” Giuffre’s lawyer had asked Maxwell. “I don’t have any specific knowledge of that call,” Maxwell replied. “Were you discussing with [redacted] the subject of Virginia Roberts [Giuffre] during these calls?”

Giuffre’s attorney pointed to an email in this exchange, noting: “He says let me know when we can talk. Got some specific questions to ask you about Virginia Roberts.”

Maxwell was unclear when, exactly, a conversation took place, but said they did speak “at some point”. Asked what they talked about, Maxwell said: “Just what a liar she is.”

Maxwell also said: “I don’t think he told me why she was a liar. The substance of everything that she said was a lie with regard to him.”

In the civil case where the deposition originated, Giuffre maintained that Maxwell drew her into Epstein’s circle as a teenager under the false pretences of providing work as a masseuse.

Giuffre alleged that Maxwell and Epstein pressured her to engage in sex with rich and powerful men, such as Prince Andrew.

Giuffre’s 2015 civil action said that Maxwell defamed her in claiming she was a liar for alleging the pair participated in sexual impropriety. The prince has adamantly denied Giuffre’s claims.

In the deposition, Maxwell was also asked if she saw him interacting with a minor in a sexual way. “I’ve never seen [redacted] interact in any way of that nature,” she said.

Anonymous ID: e6bd4a Oct. 23, 2020, 3:35 a.m. No.11234333   🗄️.is 🔗kun   >>4378

>>11234310

The way you put a space before every punctuation makes it clear you're to be filtered.

I gotta ask, are these silly markers so you can find yourselves among us? Like dude who can't find the apostrophe or guy who uses ASCII arrows?

Anonymous ID: e6bd4a Oct. 23, 2020, 3:41 a.m. No.11234379   🗄️.is 🔗kun   >>4437 >>4542 >>4613 >>4740

https://townhall.com/tipsheet/juliorosas/2020/10/21/the-difference-between-the-old-wall-and-the-new-wall-trump-admin-has-built-n2578540

 

Difference between El Paso's old border wall and new border wall system

Anonymous ID: e6bd4a Oct. 23, 2020, 3:58 a.m. No.11234498   🗄️.is 🔗kun   >>4524 >>4542 >>4613 >>4740

>>11234492

Microsoft, in collaboration with MITRE, IBM, NVIDIA, and Bosch, has released — Adversarial ML Threat Matrix Framework — to help security analysts detect, respond to, and remediate adversarial attacks against machine learning (ML) systems.

https://thehackernews.com/2020/10/adversarial-ml-threat-matrix.html

Microsoft, in collaboration with MITRE, IBM, NVIDIA, and Bosch, has released a new open framework that aims to help security analysts detect, respond to, and remediate adversarial attacks against machine learning (ML) systems.

Called the Adversarial ML Threat Matrix, the initiative is an attempt to organize the different techniques employed by malicious adversaries in subverting ML systems.

Just as artificial intelligence (AI) and ML are being deployed in a wide variety of novel applications, threat actors can not only abuse the technology to power their malware but can also leverage it to fool machine learning models with poisoned datasets, thereby causing beneficial systems to make incorrect decisions, and pose a threat to stability and safety of AI applications.

Indeed, ESET researchers last year found Emotet — a notorious email-based malware behind several botnet-driven spam campaigns and ransomware attacks — to be using ML to improve its targeting.

Then earlier this month, Microsoft warned about a new Android ransomware strain that included a machine learning model that, while yet to be integrated into the malware, could be used to fit the ransom note image within the screen of the mobile device without any distortion.

What's more, researchers have studied what's called model-inversion attacks, wherein access to a model is abused to infer information about the training data.

According to a Gartner report cited by Microsoft, 30% of all AI cyberattacks by 2022 are expected to leverage training-data poisoning, model theft, or adversarial samples to attack machine learning-powered systems.

"Despite these compelling reasons to secure ML systems, Microsoft's survey spanning 28 businesses found that most industry practitioners have yet to come to terms with adversarial machine learning," the Windows maker said. "Twenty-five out of the 28 businesses indicated that they don't have the right tools in place to secure their ML systems."

Adversarial ML Threat Matrix hopes to address threats against data weaponization of data with a curated set of vulnerabilities and adversary behaviors that Microsoft and MITRE vetted to be effective against ML systems.

The idea is that companies can use the Adversarial ML Threat Matrix to test their AI models' resilience by simulating realistic attack scenarios using a list of tactics to gain initial access to the environment, execute unsafe ML models, contaminate training data, and exfiltrate sensitive information via model stealing attacks.

"The goal of the Adversarial ML Threat Matrix is to position attacks on ML systems in a framework that security analysts can orient themselves in these new and upcoming threats," Microsoft said.

"The matrix is structured like the ATT&CK framework, owing to its wide adoption among the security analyst community – this way, security analysts do not have to learn a new or different framework to learn about threats to ML systems."

The development is the latest in a series of moves undertaken to secure AI from data poisoning and model evasion attacks. It's worth noting that researchers from John Hopkins University developed a framework dubbed TrojAI designed to thwart trojan attacks, in which a model is modified to respond to input triggers that cause it to infer an incorrect response.

Anonymous ID: e6bd4a Oct. 23, 2020, 4:22 a.m. No.11234683   🗄️.is 🔗kun

>>11234632

>CM has been working on Project ODIN and keeps hinting it's some kind of failsafe. That would be the damndest thing, election day or +1, all social media and Cloudfare based shit disappears and everyone comes to *kun for the news.