Ex-Green Beret arrested in Carlos Ghosn case has no stranger to danger

This Dec. 30, 2019, image from security camera video shows Michael L. Taylor, center, and George-Antoine Zayek at passport control at Istanbul Airport in Turkey. Taylor, a former Green Beret, and his son, Peter Taylor, 27, were arrested Wednesday in Massachusetts on charges they smuggled Nissan ex-Chairman Carlos Ghosn out of Japan in a box in December 2019, while he awaited trial there on financial misconduct charges. / AP

Decades before a security camera caught Michael Taylor coming off a jet that was carrying one of the world’s most-wanted fugitives, the former Green Beret had a hard-earned reputation for taking on dicey assignments.

Over the years, Taylor had been hired by parents to rescue abducted children. He went undercover for the FBI to sting a Massachusetts drug gang. And he worked as a military contractor in Iraq and Afghanistan, an assignment that landed him in a Utah jail in a federal fraud case.

So when Taylor was linked to the December escape of former Nissan CEO Carlos Ghosn from Japan, where the executive awaited trial on financial misconduct charges, some in U.S. military and legal circles immediately recognized the name.

Taylor has “gotten himself involved in situations that most people would never even think of, dangerous situations, but for all the right reasons,” Paul Kelly, a former federal prosecutor in Boston who has known the security consultant since the early 1990s, said earlier this year.

“Was I surprised when I read the story that he may have been involved in what took place in Japan? No, not at all.”

Wednesday, after months as fugitives, Taylor, 59, and his son, Peter, 27, were arrested in Massachusetts on charges accusing them of hiding Ghosn in a shipping case drilled with air holes and smuggling him out of Japan on a chartered jet. Investigators were still seeking George-Antoine Zayek, a Lebanese-born colleague of Taylor.

“He is the most all-American man I know,” Taylor’s assistant, Barbara Auterio, wrote to a federal judge before his sentencing in 2015. “His favorite song is the national anthem.”

Kelly, now serving as the attorney for the Taylors, said they plan to challenge Japan’s extradition request “on several legal and factual grounds.”

“Michael Taylor is a distinguished veteran and patriot, and both he and his son deserve a full and fair hearing regarding these issues,” Kelly said in an email.

Some of those who know Taylor say he is a character of questionable judgment, with a history of legal troubles dating back well before the Utah case. But others praise him as a patriot, mentor and devoted family man, who regularly put himself at risk for his clients, including some with little ability to pay.

“He is the most all-American man I know,” Taylor’s assistant, Barbara Auterio, wrote to a federal judge before his sentencing in 2015. “His favorite song is the national anthem.”

In 1993, a Massachusetts state trooper investigated Taylor for drug running and sued his supervisor after being told to stop scrutinizing the prized FBI informant. In 1998, Taylor was granted immunity in exchange for testifying against a Teamsters official accused of extortion. In 1999, he pleaded guilty to planting marijuana in the car of a client’s estranged wife, leading to her arrest, according to a 2001 report in the Boston Herald.

Taylor also made headlines in 2011 when he resigned as football coach at a Massachusetts prep school, Lawrence Academy, which was stripped of two titles. Taylor was accused of inappropriate donations, including covering tuition for members of a team that included seven Division I recruits.

“Michael Taylor was the only person in this great country that was able to help me, and he did,” a California woman whose son was taken to Beirut, wrote to the sentencing judge in the Utah military contracting case. “Michael Taylor brought my son back.”

“It wasn’t pleasant what he was yelling at us across the field. He was calling us out for not being man enough to kick the ball,” said John Mackay, who opposed Taylor as coach of St. George’s School in Rhode Island. “His zeal, probably like he does everything in life, is to the Nth degree.”

The security business that Taylor and a partner set up decades ago was initially focused on private investigations but their caseload grew through corporate work and unofficial referrals from the State Department and FBI, including parents whose children had been taken overseas by former spouses.

“Michael Taylor was the only person in this great country that was able to help me, and he did,” a California woman whose son was taken to Beirut, wrote to the sentencing judge in the Utah military contracting case. “Michael Taylor brought my son back.”

In 2012, federal prosecutors alleged that Taylor won a U.S. military contract to train Afghan soldiers by using secret information passed along from an American officer. The prosecutors said that when Taylor learned the contract was being investigated, he asked an FBI agent and friend to intervene.

The government seized $5 million from the bank account of Taylor’s company and he spent 14 months in jail before agreeing to plead guilty to two counts. The government agreed to return $2 million to the company as well as confiscated vehicles.

The plot to free Ghosn apparently began last fall, when operatives began scouting Japanese terminals reserved for private jets. Tokyo has two airports within easy reach of Ghosn’s home. But the group settled on the private terminal at Osaka’s Kansai International Airport, where machines used to X-ray baggage could not accommodate large boxes.

On the day of the escape, Michael Taylor and Zayek flew into Japan on a chartered jet with two large black boxes, claiming to be musicians carrying audio equipment, according to court papers.

Around 2:30 that afternoon, Ghosn, free on hefty bail, left his house on a leafy street in Tokyo’s Roppongi neighborhood and walked to the nearby Grand Hyatt Hotel, going to a room there and departing two hours later to board a bullet train for Osaka.

That evening, his rescuers wheeled shipping boxes through the Osaka private jet terminal known as Premium Gate Tamayura — “fleeting moment” in Japanese. Terminal employees let the men pass without inspecting their cargo.

At 11:10 p.m., the chartered Bombardier, its windows fitted with pleated shades, lifted off. The flight went first to Turkey, then to Lebanon, where Ghosn has citizenship, but which has no extradition treaty with Japan.

“I didn’t run from justice,” Ghosn told reporters after he resurfaced. “I left Japan because I wanted justice.”

Source: Ex-Green Beret arrested in Carlos Ghosn case has done dangerous work | Autoblog

Sir Richard Branson: Virgin Orbit rocket launch from 747 fails on debut flight

The booster was released from under the wing of one of the UK entrepreneur’s old jumbos which had been specially converted for the task.

The rocket ignited its engine seconds later but an anomaly meant the flight was terminated early.

Virgin Orbit’s goal is to try to capture a share of the emerging market for the launch of small satellites.

It’s not clear at this stage precisely what went wrong but the firm had warned beforehand that the chances of success might be only 50:50.

The history of rocketry shows that maiden outings very often encounter technical problems.

“Test flights are instrumented to yield data and we now have a treasure trove of that. We accomplished many of the goals we set for ourselves, though not as many as we would have liked,” said Virgin Orbit CEO Dan Hart.

“Nevertheless, we took a big step forward today. Our engineers are already poring through the data. Our next rocket is waiting. We will learn, adjust, and begin preparing for our next test, which is coming up soon.”

Source: Sir Richard Branson: Virgin Orbit rocket fails on debut flight – BBC News

Create Deepfakes in 5 Minutes with First Order Model Method

et’s explore a bit how this method works. The whole process is separated into two parts: Motion Extraction and Generation. As an input the source image and driving video are used. Motion extractor utilizes autoencoder to detect keypoints and extracts first-order motion representation that consists of sparse keypoints and local affine transformations. These, along with the driving video are used to generate dense optical flow and occlusion map with the dense motion network. Then the outputs of dense motion network and the source image are used by the generator to render the target image.

First Order Model Approach

This work outperforms state of the art on all the benchmarks. Apart from that it has features that other models just don’t have. The really cool thing is that it works on different categories of images, meaning you can apply it to face, body, cartoon, etc. This opens up a lot of possibilities. Another revolutionary thing with this approach is that now you can create good quality Deepfakes with a single image of the target object, just like we use YOLO for object detection.

Keypoints Detection

If you want to find out more about this method, check out the paper and the code. Also, you can watch the following video:

Building your own Deepfake

As mention, we can use already trained models and use our source image and driving video to generate deepfakes. You can do so by following this Collab notebook.

In essence, what you need to do is clone the repository and mount your Google Drive. Once that is done, you need to upload your image and driving video to drive. Make sure that image and video size contains only face, for the best results. Use ffmpeg to crop the video if you need to. Then all you need is to run this piece of code:

source_image = imageio.imread('/content/gdrive/My Drive/first-order-motion-model/source_image.png')
driving_video = imageio.mimread('driving_video.mp4', memtest=False)


#Resize image and video to 256x256

source_image = resize(source_image, (256, 256))[..., :3]
driving_video = [resize(frame, (256, 256))[..., :3] for frame in driving_video]

predictions = make_animation(source_image, driving_video, generator, kp_detector, relative=True,
                             adapt_movement_scale=True)

HTML(display(source_image, driving_video, predictions).to_html5_video())

Here is my experiment with image of Nikola Tesla and a video of myself:

Conclusion

We are living in a weird age in a weird world. It is easier to create fake videos/news than ever and distribute them. It is getting harder and harder to understand what is truth and what is not. It seems that nowadays we can not trust our own senses anymore. Even though fake video detectors are also created, it is just a matter of time before the information gap is too small and even the best fake detectors can not detect if the video is true or not. So, in the end, one piece of advice – be skeptical. Take every information that you get with a bit of suspicion because things might not be quite as it seems.

Thank you for reading!

Source: Create Deepfakes in 5 Minutes with First Order Model Method