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ZAO (Deepfake) APK v1.7.1 – Download for Android


ZAO v1.7.1

ZAO is a free Entertainment App developed by Changsha Shenduronghe Network Technology Co., Ltd. for Android OS. The latest version of ZAO APK is 1.7.1 which is updated 3 month ago at Android App store. This APK provides best Entertainment service for Android users. Best alternative Entertainment Apps are ZAO English, Live NetTV, Disney Plus, New TamilRockers, VidMate Video, etc

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ZAO v1.7.1

ZAO is a free Entertainment App developed by Changsha Shenduronghe Network Technology Co., Ltd. for

Deepfake has been one of the most sensitive keywords on the internet. From here, this entertainment has ignited a trend among young people when creating funny photos or videos together. However, its influence has also brought about controversy. These products cause fever because of the high entertainment they bring, but the risk is also significant. ZAO is one of the outstanding applications that allows users to perform editing operations quickly and only today. However, in fact, ZAO and other versions of it have faced many concerns about information security for customers. So let’s find out the truth.

Users can efficiently perform editing operations on the application

The term ZAO appeared a lot on the Internet since the end of 2017; this name is a combination of “deep learning” and “fake.” Right from the name, the application was very confident in being able to create virtual faces with high accuracy. Taking photos with family or friends to save memorable moments must have been not too strange for everyone. However, photos need to be entertaining to add an impression to the photo. Catching that trend, ZAO was released to satisfy users’ desire. With just a few small steps, you can create an exciting picture and make a big laugh. The application allows you to swap faces when you take a selfie with your family or friends. In addition, this application is also used to replace the face of an actor in a famous movie and series. You can indirectly become the main character in a drama and let’s quickly show off the results to your friends. More specifically, this application also impresses the point that your face even copies the expression of the original performer. What are you waiting without trying a magic app like this?

Download (Deep Fake) ZAO APK v1.7.1

The application also offers many outstanding features

With ZAO, the face swap video will be algorithmically generated, so the compatibility and accuracy of the product created are quite high. But also for that reason, many people were agitated when their images became mocking images. Fortunately, these types of images are relatively easy to spot at this time, and therefore not too dangerous. Instead, if used correctly for a useful purpose, this can obviously be a pretty impressive application. Recently, Chinese Android and iOS apps have been released that allow most people to insert themselves into famous movie scenes, but the app still has a considerable download. As with FaceApp before, the concern about privacy and privacy quickly made people worried.

Is this a safe application?

Because ZAO is too abusive for requesting access to users, it has raised concerns and doubts about the security of the application. Citing the user agreement to agree before experiencing the app, this gives the company behind the right to use any images created on the app for any purpose. Therefore, this makes a lot of users worried about the meaning of using their pictures later. In addition, the application also affects the privacy of users when celebrities are cut into sensitive images. Currently, the purpose of the application to collect pictures of users is still a big question mark, so you should read the requirements before you want to experience the features of this application.

Is prevention of deepfakes an easy task?

Due to the negative harm that deepfakes bring, the founders have also encountered a lot of criticism for not anticipating its negatives. Although manufacturers claim to have found a way to detect and remove deepfakes with success rates of up to 90%, it is difficult to control the situation. In their report, the authors point out that Deepfake and anti-Deepfake technologies are developing in the same direction as the relationship between viruses and anti-virus software. If any bugs or weaknesses are detected that can make antivirus more effective, later versions of the virus will “fix” these errors and become even more sophisticated than before. According to experts, the software and tools that can detect the edited video will only fix a small part of this problem. The authors of the anti-Deepfake device also think that their results will become useless.

Undeniably the great entertainment that ZAO has brought to use. Despite encountering a lot of comments, the application is still appreciated for its features. If you want to experience this application, be a wise user.

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Deepfakes (a portmanteau of "deep learning" and "fake"[1]) are synthetic media[2] in which a person in an existing image or video is replaced with someone else's likeness. While the act of faking content is not new, deepfakes leverage powerful techniques from machine learning and artificial intelligence to manipulate or generate visual and audio content with a high potential to deceive.[3] The main machine learning methods used to create deepfakes are based on deep learning and involve training generative neural network architectures, such as autoencoders[3] or generative adversarial networks (GANs).[4][5]

Deepfakes have garnered widespread attention for their uses in celebrity pornographic videosrevenge pornfake newshoaxes, and financial fraud.[6][7][8][9] This has elicited responses from both industry and government to detect and limit their use.[10][11]


Photo manipulation was developed in the 19th century and soon applied to motion pictures. Technology steadily improved during the 20th century, and more quickly with digital video.

Deepfake technology has been developed by researchers at academic institutions beginning in the 1990s, and later by amateurs in online communities.[12][13] More recently the methods have been adopted by industry.[14]

Academic research[edit]

Academic research related to deepfakes lies predominantly within the field of computer vision, a subfield of computer science.[12] An early landmark project was the Video Rewrite program, published in 1997, which modified existing video footage of a person speaking to depict that person mouthing the words contained in a different audio track.[15] It was the first system to fully automate this kind of facial reanimation, and it did so using machine learning techniques to make connections between the sounds produced by a video's subject and the shape of the subject's face.[15]

Contemporary academic projects have focused on creating more realistic videos and on improving techniques.[16][17] The “Synthesizing Obama” program, published in 2017, modifies video footage of former president Barack Obama to depict him mouthing the words contained in a separate audio track.[16] The project lists as a main research contribution its photorealistic technique for synthesizing mouth shapes from audio.[16] The Face2Face program, published in 2016, modifies video footage of a person's face to depict them mimicking the facial expressions of another person in real time.[17] The project lists as a main research contribution the first method for re-enacting facial expressions in real time using a camera that does not capture depth, making it possible for the technique to be performed using common consumer cameras.[17]

In August 2018, researchers at the University of California, Berkeley published a paper introducing a fake dancing app that can create the impression of masterful dancing ability using AI.[18][19] This project expands the application of deepfakes to the entire body; previous works focused on the head or parts of the face.[18]

Amateur development[edit]

The term deepfakes originated around the end of 2017 from a Reddit user named "deepfakes".[20] He, as well as others in the Reddit community r/deepfakes, shared deepfakes they created; many videos involved celebrities’ faces swapped onto the bodies of actresses in pornographic videos,[20] while non-pornographic content included many videos with actor Nicolas Cage’s face swapped into various movies.[21]

Other online communities remain, including Reddit communities that do not share pornography, such as r/SFWdeepfakes (short for "safe for work deepfakes"), in which community members share deepfakes depicting celebrities, politicians, and others in non-pornographic scenarios.[22] Other online communities continue to share pornography on platforms that have not banned deepfake pornography.[23]

Commercial development[edit]

In January 2018, a proprietary desktop application called FakeApp was launched.[24] This app allows users to easily create and share videos with their faces swapped with each other.[25] As of 2019, FakeApp has been superseded by open-source alternatives such as Faceswap and the command line-based DeepFaceLab.[26][27]

Larger companies are also starting to use deepfakes.[14] The mobile app giant Momo created the application Zao which allows users to superimpose their face on TV and movie clips with a single picture.[14] The Japanese AI company DataGrid made a full body deepfake that can create a person from scratch.[28] They intend to use these for fashion and apparel.

Audio deepfakes, and AI software capable of detecting deepfakes and cloning human voices after 5 seconds of listening time also exist.[29][30][31][32][33][34] A mobile deepfake app, Impressions, was launched in March of 2020. It was the first app for the creation of celebrity deepfake videos from mobile phones.[35][36]


Deepfakes rely on a type of neural network called an autoencoder.[5][37] These consist of an encoder, which reduces an image to a lower dimensional latent space, and a decoder, which reconstructs the image from the latent representation. Deepfakes utilize this architecture by having a universal encoder which encodes a person in to the latent space.[38] The latent representation contains key features about their facial features and body posture. This can then be decoded with a model trained specifically for the target.[5] This means the target's detailed information will be superimposed on the underlying facial and body features of the original video, represented in the latent space.[5]

A popular upgrade to this architecture attaches a generative adversarial network to the decoder.[38] A GAN trains a generator, in this case the decoder, and a discriminator in an adversarial relationship.[38] The generator creates new images from the latent representation of the source material, while the discriminator attempts to determine whether or not the image is generated.[38] This causes the generator to create images that mimic reality extremely well as any defects would be caught by the discriminator.[39] Both algorithms improve constantly in a zero sum game.[38] This makes deepfakes difficult to combat as they are constantly evolving; any time a defect is determined, it can be corrected.[39]



Many deepfakes on the internet feature pornography of people, often female celebrities whose likeness is typically used without their consent.[40] Deepfake pornography prominently surfaced on the Internet in 2017, particularly on Reddit.[41] The first one that captured attention was the Daisy Ridley deepfake, which was featured in several articles.[41] Other prominent pornographic deepfakes were of various other celebrities.[41][42][43][44] As of October 2019, most of the deepfake subjects on the internet were British and American Actresses.[40] However, around a quarter of the subjects are South Korean, the majority of which are K-pop stars.[40][45]

In June 2019, a downloadable Windows and Linux application called DeepNude was released which used neural networks, specifically generative adversarial networks, to remove clothing from images of women. The app had both a paid and unpaid version, the paid version costing $50.[46][47] On June 27 the creators removed the application and refunded consumers.[48]


Deepfakes have been used to misrepresent well-known politicians in videos.

  • In separate videos, the face of the Argentine President Mauricio Macri has been replaced by the face of Adolf Hitler, and Angela Merkel's face has been replaced with Donald Trump's.[49][50]
  • In April 2018, Jordan Peele collaborated with Buzzfeed to create a deepfake of Barack Obama with Peele's voice; it served as a public service announcement to increase awareness of deepfakes.[51]
  • In January 2019, Fox affiliate KCPQ aired a deepfake of Trump during his Oval Office address, mocking his appearance and skin color (and subsequently fired an employee found responsible for the video).[52]
  • During the 2020 Delhi Legislative Assembly election campaign, the Delhi Bharatiya Janata Party used similar technology to distribute a version of an English-language campaign advertisement by its leader, Manoj Tiwari, translated into Haryanvi to target Haryana voters. A voiceover was provided by an actor, and AI trained using video of Tiwari speeches was used to lip-sync the video to the new voiceover. A party staff member described it as a "positive" use of deepfake technology, which allowed them to "convincingly approach the target audience even if the candidate didn't speak the language of the voter."[53]
  • In April 2020, the Belgian branch of Extinction Rebellion published a deepfake video of Belgian Prime Minister Sophie Wilmès on Facebook.[54] The video promoted a possible link between deforestation and COVID-19. It had more than 100,000 views within 24 hours and received many comments. On the Facebook page where the video appeared, many users interpreted the deepfake video as genuine.[55]

In June 2019, the United States House Intelligence Committee held hearings on the potential malicious use of deepfakes to sway elections.[56]


In March 2018 the multidisciplinary artist Joseph Ayerle published the videoartwork Un'emozione per sempre 2.0 (English title: The Italian Game). The artist worked with Deepfake technology to create a synthetic version of 80s moviestar Ornella Muti, travelling in time from 1978 to 2018. The Massachusetts Institute of Technology referred this artwork in the study “Creative Wisdom”.[57] The artist used Ornella Muti's time travel to explore generational reflections, while also investigating questions about the role of provocation in the world of art.[58] For the technical realization Ayerle used scenes of photo model Kendall Jenner. The Artificial Intelligence replaced Jenner’s face by an AI calculated face of Ornella Muti. As result the cyber personality has the face of the Italian actress Ornella Muti and the body of Kendall Jenner.


There has been speculation about deepfakes being used for creating digital actors for future films. Digitally constructed/altered humans have already been used in films before, and deepfakes could contribute new developments in the near future.[59] Deepfake technology has already been used to insert faces into existing films, such as the insertion of Harrison Ford's young face onto Han Solo's face in Solo: A Star Wars Story,[60] and techniques similar to those used by deepfakes were used for the acting of Princess Leia in Rogue One.[61]

Social media[edit]

Deepfakes have begun to see use in popular social media platforms, notably through Zao, a Chinese deepfake app that allows users to substitute their own faces onto those of characters in scenes from films and television shows such as Romeo + Juliet and Game of Thrones.[62] The app originally faced scrutiny over its invasive user data and privacy policy, after which the company put out a statement claiming it would revise the policy.[63] in January 2020 Facebook announced that it was introducing new measures to counter this on its platforms.[64]



Audio deepfakes have been used as part of social engineering scams, fooling people into thinking they are receiving instructions from a trusted individual.[65] In 2019, a U.K.-based energy firm's CEO was scammed over the phone when he was ordered to transfer €220,000 into a Hungarian bank account by an individual who used audio deepfake technology to impersonate the voice of the firm's parent company's chief executive.[66]

Credibility and authenticity[edit]

Though fake photos have long been plentiful, faking motion pictures has been more difficult, and the presence of deepfakes increases the difficulty of classifying videos as genuine or not.[49] AI researcher Alex Champandard has said people should know how fast things can be corrupted with deepfake technology, and that the problem is not a technical one, but rather one to be solved by trust in information and journalism.[49] The primary pitfall is that humanity could fall into an age in which it can no longer be determined whether a medium's content corresponds to the truth.[49]

Similarly, computer science associate professor Hao Li of the University of Southern California states that deepfakes created for malicious use, such as fake news, will be even more harmful if nothing is done to spread awareness of deepfake technology.[67] Li predicts that genuine videos and deepfakes will become indistinguishable in as soon as half a year, as of October 2019, due to rapid advancement in artificial intelligence and computer graphics.[67]



Most of the academic research surrounding Deepfake seeks to detect the videos.[68] The most popular technique is to use algorithms similar to the ones used to build the deepfake to detect them.[68] By recognizing patterns in how Deepfakes are created the algorithm is able to pick up subtle inconsistencies.[68] Researchers have developed automatic systems that examine videos for errors such as irregular blinking patterns of lighting.[12] This technique has also been criticized for creating a "Moving Goal post" where anytime the algorithms for detecting get better, so do the Deepfakes.[68] The Deepfake Detection Challenge, hosted by a coalition of leading tech companies, hope to accelerate the technology for identifying manipulated content.[69]

Other techniques use Blockchain to verify the source of the media.[70] Videos will have to be verified through the ledger before they are shown on social media platforms.[70] With this technology, only videos from trusted sources would be approved, decreasing the spread of possibly harmful Deepfake media.[70]

Internet reaction[edit]

Since 2017, Samantha Cole of Vice published a series of articles covering news surrounding deepfake pornography.[71][72][73][46][44][74][75][20] On January 31st, 2018, Gfycat began removing all deepfakes from its site.[73][10] On Reddit, the r/deepfakes subreddit was banned on February 7, 2018, due to the policy violation of "involuntary pornography".[76][77][78][79][80] In the same month, representatives from Twitter stated that they would suspend accounts suspected of posting non-consensual deepfake content.[74] Chat site Discord has taken action against deepfakes in the past,[81] and has taken a general stance against deepfakes.[10][82]. In September 2018, Google added "involuntary synthetic pornographic imagery” to its ban list, allowing anyone to request the block of results showing their fake nudes.[83]

In February 2018, Pornhub said that it would ban deepfake videos on its website because it is considered “non consensual content” which violates their terms of service.[72] They also stated previously to Mashable that they will take down content flagged as deepfakes.[84] Writers from Motherboard from Buzzfeed News reported that searching “deepfakes” on Pornhub still returned multiple recent deepfake videos.[72]

Facebook has previously stated that they would not remove deepfakes from their platforms.[85] The videos will instead be flagged as fake by third-parties and then have a lessened priority in user's feeds.[71] This response was prompted in June 2019 after a deepfake featuring a 2016 video of Mark Zuckerberg circulated on Facebook and Instagram.[85]

Legal response[edit]

In the United States, there have been some responses to the problems posed by deepfakes. In 2018, the Malicious Deep Fake Prohibition Act was introduced to the US Senate,[86] and in 2019 the DEEPFAKES Accountability Act was introduced in the House of Representatives.[11] Several states have also introduced legislation regarding deepfakes, including Virginia,[87] Texas, California, and New York.[88] On October 3, 2019, California governor Gavin Newsom signed into law Assembly Bills No. 602 and No. 730.[89][90] Assembly Bill No. 602 provides individuals targeted by sexually explicit deepfake content made without their consent with a cause of action against the content's creator.[89] Assembly Bill No. 730 prohibits the distribution of malicious deepfake audio or visual media targeting a candidate running for public office within 60 days of their election.[90]

In November 2019 China announced that deepfakes and other synthetically faked footage should bear a clear notice about their fakeness starting in 2020. Failure to comply could be considered a crime the Cyberspace Administration of China stated on its website.[91] The Chinese government seems to be reserving the right to prosecute both users and online video platforms failing to abide by the rules.[92]

In the United Kingdom, producers of deepfake material can be prosecuted for harassment, but there are calls to make deepfake a specific crime;[93] in the United States, where charges as varied as identity theftcyberstalking, and revenge porn have been pursued, the notion of a more comprehensive statute has also been discussed.[83]

In Canada, the Communications Security Establishment released a report which said that deepfakes could be used to interfere in Canadian politics, particularly to discredit politicians and influence voters.[94][95] There are multiple ways for citizens in Canada to deal with deepfakes if they are targeted by them.[96]

In popular culture[edit]

  • "Picaper" by Jack Wodhams. The 1986 Mid-December issue of Analog magazine published the novelette "Picaper" by Jack Wodhams. Its plot revolves around digitally enhanced or digitally generated videos produced by skilled hackers serving unscrupulous lawyers and political figures.[97]
  • A Philosophical Investigation. In the 1992 techno-thriller A Philosophical Investigation by Philip Kerr, "Wittgenstein", the main character and a serial killer, makes use of both a software similar to Deepfake and a virtual reality suit for having sex with an avatar of the female police lieutenant Isadora "Jake" Jakowicz assigned to catch him.[98]
  • Rising Sun. The 1993 film Rising Sun starring Sean Connery and Wesley Snipes depicts another character, Jingo Asakuma, who reveals that a computer disc has digitally altered personal identities to implicate a competitor.
  • The Capture. Deepfake technology is part of the plot of the 2019 BBC One drama The Capture. The series follows British ex-soldier Shaun Emery, who is accused of assaulting and abducting his barrister. Expertly doctored CCTV footage is used to set him up and mislead the police investigating him.[99][100]

See also[edit]


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