Wav2Lip-Emotion copies emotion-related facial expressions from one part of the video and replaces them at other points.
Experts have developed a new machine learning technique that allows you to arbitrarily change the emotional expression of faces in videos, adapting such recently emerging technologies as lip syncing with dubbing in a foreign language.
Study titled Invertable Frowns: Video-to-Video Facial Emotion Translation is a collaboration between Northeastern University in Boston and MIT’s Media Lab. While the researchers acknowledge that the original quality of the results should be improved in further research, they also argue that the Wav2Lip-Emotion method they developed is the first of its kind to directly change facial expressions in video using a neural network.
Project code base published on GitHub, and the model breakpoints will be added to the open source repository at a later date, the researchers promised.
In theory, such manipulations are possible thanks to the full training of models using traditional deepfake repositories such as DeepFaceLab and FaceSwap. However, the standard workload involves the use of an alternate identity instead of a real one. For example, an actor may impersonate a target personality, whose facial expressions, along with other actions, will be transferred to another person. In addition, the use of deepfake technology to fake the voice will be required to make the video credible.
Moreover, altering the facial expression in the original video using these popular repositories requires changing the face alignment vectors of the overlay in ways that these architectures currently do not facilitate.
Wav2Lip-Emotion effectively copies emotion-related facial expressions from one part of the video and replaces them at other points, preserving the original data, which ultimately provides a simple and convenient method for manipulating facial expressions.
Later, offline models can be developed that are trained on alternate video images of the speaker and thereby eliminate the need for the video to contain the entire palette of facial expressions.
Cryptocurrency exchange Binance was robbed of $570 million. Hacker withdrew BNB tokens
Cryptocurrency exchange Binance has undergone another hacker attack. The attackers managed to withdraw BNB tokens worth about $570 million.
Somewhat earlier it was reported that the attack allowed the hackers to steal about $110 million, but now it turned out that everything is much worse. At the same time, the specialists of the exchange managed to freeze part of the funds, but we are talking about only 7 million dollars, which is clearly insignificant against the background of 570 million.
The exchange revealed that a cross-chain bridge connected to its BNB chain was attacked, allowing hackers to move BNB tokens off the network. Now the network has been restored, and the clients’ funds, according to Binance, are safe.
The fact of the theft of funds contributed to a sharp drop in the BNB rate by almost 5%, but after a few hours, almost half of the fall was redeemed.
Hacker who earned $27 million in cyberattacks will spend 20 years in prison and pay $21 million in fines
A Florida district court has sentenced 34-year-old IT engineer Sebastien Vashon-Desjardins to 20 years in prison for carrying out at least 90 cyberattacks.
It is noted that for several years of his activity, the hacker, using the NetWalker encryption virus, earned about $ 27 million. A search of Vashon-Desjardins revealed a crypto wallet containing 719 bitcoins, which was about $22 million at the time of the cybercriminal’s arrest in January 2022.
According to investigators, the 34-year-old cybercriminal acted in collusion with other hackers. Vashon-Desjardins himself played the role of an attacker: he infected the corporate networks of various companies with a virus and then demanded a ransom from them. Organizations from the USA, Canada and a number of European countries suffered from the activities of the criminal.
It is noted that, in addition to the prison term, the court also imposed a fine on Vashon-Desjardins in the amount of $ 21 million. Also, the criminal will have to pay compensation to the companies affected by his actions. The amount of damages has not yet been established.
Unique behavior of Ryzen 7000 processors. The notorious patches from the Specter vulnerability improve the performance of new CPUs
Recently, various vulnerabilities in processors have been talked about much less often, and users no longer worry about performance degradation due to patches. As it turns out, Ryzen 7000 processors generally benefit from such patches!
At least this is true for Linux, since it was in this OS that the author tested the Ryzen 9 7950X and Ryzen 5 7600X. It turned out that when working out of the box, the CPUs show better performance than when loading a special version of Linux with a deactivated patch from the Specter V2 vulnerability.
Of course, such results do not appear everywhere, and during normal work they are unlikely to be critical. In particular, in total, according to the results of 190 tests, the difference was only 3%.
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