Deepfake videos, which seem real, are going viral and get tens of thousands of clicks on each share. However, when attempts to produce hyper-realistic deepfake videos turn from rating anxiety to the goal of disinformation based on social engineering, its impact on the masses will not be fun at all; on the contrary, it will have extremely devastating consequences. However, when attempts to produce hyper-realistic deepfake videos turn from rating anxiety to the goal of disinformation based on social engineering, its impact on the masses will not be fun at all.
The revenge porn, projected to be 95% of deepfake content today, is now published on specially prepared deepfake porn sites. As Deepware AI, we are leading a very important development in this area by adding the first online deepfake scanning and detection engine that we have developed the Adult Scanner function to Deepware Scanner.
Digital synthetic reality, taking advantage of the pandemic, enters our lives with mixed reality solutions. In this way, synthetic ingredients bring us together in our own physical environments, holographically. Crossing physical distances, maintaining life face-to-face as before without risking contact, may be attractive to all of us. But when synthetic reality surrounds life and makes perception dependent, what kind of world will we wake up to?
If the target of cyber attackers is a bank, central bank, or the entire financial system, it is a national security hazard. Synthetic media and its most powerful and convincing weapon, deepfake, can encourage and make more possible large-scale attacks targeting financial infrastructure. In this case, starting with less developed economies, political attacks that can deal major blows to the global free market economy may also be on the agenda.
Cyber fraudsters have had no trouble finding crowds for the past two years who believe every time Elon Musk distributes bitcoin through Twitter. By producing deepfake audio and video, Bitcoin scammers will be able to make any identity they want even more believable, especially Elon Musk. How are tech geeks ready to take the bait, then, to stop themselves from getting caught up in millions more?
To accurately analyze the danger of synthetic media, it is worth comparing it with other methods of today, commonly used in crimes targeting companies. Predicting how synthetic media will develop and strengthen financial crime schemes that have caused billions of dollars in losses to date is important for assessing the level of threat.
Deepfake, the most advanced and dangerous type of synthetic media manipulated by artificial intelligence (ai) tools, could soon serve many different demonic purposes. It is not difficult to predict that the most common cyber-attacks, on the other hand, will be financially qualified. Because IT crimes, which are registered on judicial records with definitions such as cyber extortion or fraud, are more dynamic, fast, easy, effective, profitable and difficult to catch and they will increasingly turn to deepfake. Deepfake-backed financial crimes, in the pandemic process where face-to-face communication is restricted, have achieved far more favorable conditions for setting cyber traps.
In order to detect synthetic media, defined as Deepfake, in a timely manner and without causing major damage, detection technologies also need to achieve hyper-realistic detection performance in the near future. The key point in deepfake detection is to eliminate boundaries in detection and get a clue that will allow deepfakes to reach the level of capture that will be produced using as-yet unknown techniques.
All developed deepfake detection models focus on the common characteristics of deepfakes and aim to detect synthetic media produced by different production techniques in the widest possible scope and with the highest accuracy. As long as we identify a vulnerability that will make deepfake easier to detect and limit the danger, it doesn’t seem like it’s time to completely solve it.
This is not a 2009 Hollywood 3-Oscar 3D science fiction masterpiece with an official budget of $ 237 million. We’re talking about your synthetic digital image that you can easily create using simple everyday applications on your personal phone, tablet or computer. Who doesn’t want to look fitter, more attractive, and more handsome and face others with more beautiful skin? “Digital makeup”, which covers physical defects and reveals a synthetic digital image that can be called an avatar of a person, is becoming increasingly important as communication becomes more and more online due to the pandemic. But is that a good development, that’s pretty doubtful. Digital makeup started with photography Photo tricks that hide physical problems had already entered our …