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+ | ==메타데이터== | ||
+ | ===위키데이터=== | ||
+ | * ID : [https://www.wikidata.org/wiki/Q49473179 Q49473179] | ||
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+ | * [{'LEMMA': 'deepfake'}] | ||
+ | * [{'LEMMA': 'deepfake'}] |
2021년 2월 16일 (화) 23:36 기준 최신판
노트
위키데이터
- ID : Q49473179
말뭉치
- But in order to learn how to spot deepfakes, you first have to make them.[1]
- That takes place at the University of Colorado in Denver, where researchers working on DARPA’s program are trying to create convincing deepfake videos.[1]
- The Hader video is an expertly crafted deepfake, a technology invented in 2014 by Ian Goodfellow, a Ph.D. student who now works at Apple.[2]
- “At the most basic level, deepfakes are lies disguised to look like truth,” says Andrea Hickerson, Director of the School of Journalism and Mass Communications at the University of South Carolina.[2]
- A lot of the fear about deepfakes rightfully concerns politics, Hickerson says.[2]
- “What happens if a deepfake video portrays a political leader inciting violence or panic?[2]
- So far, deepfakes have been limited to amateur hobbyists putting celebrities' faces on porn stars' bodies and making politicians say funny things.[3]
- Political hyperbole skewed by frustrated ambition, or are deepfakes really a bigger threat than nuclear weapons?[3]
- Deepfakes exploit this human tendency using generative adversarial networks (GANs), in which two machine learning (ML) models duke it out.[3]
- The larger the set of training data, the easier it is for the forger to create a believable deepfake.[3]
- There are even examples of deepfakes on YouTube that better the original CGI footage used in films, like the re-remastered Princess Leia featured on this list.[4]
- Deepfakes now appear in many movies (for example, in some of our favourite 3D movies), and they are becoming more part of the mainstream process.[4]
- Here, we look at 10 of the most famous deepfakes.[4]
- Deepfakes are so-named because they use deep learning technology, a branch of machine learning that applies neural net simulation to massive data sets, to create a fake.[4]
- and you’ve seen a deepfake.[5]
- The 21st century’s answer to Photoshopping, deepfakes use a form of artificial intelligence called deep learning to make images of fake events, hence the name deepfake.[5]
- The AI firm Deeptrace found 15,000 deepfake videos online in September 2019, a near doubling over nine months.[5]
- As new techniques allow unskilled people to make deepfakes with a handful of photos, fake videos are likely to spread beyond the celebrity world to fuel revenge porn.[5]
- High-quality deepfakes are often achieved by training on hours of footage of the target.[6]
- In videos containing deepfakes, artifacts such as flickering and jitter can occur because the network has no context of the preceding frames.[6]
- A mobile deepfake app, Impressions, was launched in March 2020.[6]
- Deepfakes technology can not only be used to fabricate messages and actions of others, but it can also be used to revive individuals who have passed away.[6]
- We already know DeepFakes can be quite believable, but just how believable are they?[7]
- Kaggle's Deepfake Detection Challenge (DFDC) recently sought an algorithmic answer to this question of detecting fakes.[7]
- The goal of the challenge is to spur researchers around the world to build innovative new technologies that can help detect deepfakes and manipulated media.[7]
- From 100,000 DeepFake videos and 19,154 real videos hosted on the public Kaggle competition, we trained a series of neural networks to detect DeepFakes.[7]
- AI generated fake videos first caught the public's attention in late 2017, when a Reddit account with the name Deepfakes posted pornographic videos generated with a DNN-based face-swapping algorithm.[8]
- While there are interesting and creative applications of deepfakes, they are also likely to be weaponized.[8]
- These provide us effective tools to expose deepfakes that are automated and mass-produced by AI algorithms.[8]
- However, whether we are going to see any form of deepfake videos in the upcoming elections will be largely determined by non-technical considerations.[8]
- The abilities to detect and analyze deepfake videos is of the utmost urgency.[9]
- The election’s on: Now Canadians should watch out for dumbfakes and deepfakes Fake videos pose a risk to democratic representation, participation, and discussion.[9]
- Deepfake videos could destroy trust in society – here’s how to restore it More democratic forms of politics, journalism and fact-checking will be needed when we can no longer trust any video footage.[9]
- Advances in deepfake technology have made it harder to distinguish between real and fabricated media, posing a very real threat to organizations.[10]
- Deepfake—a combination of the words ‘deep learning’ and ‘fake’—refers to an AI-based technology used to create or alter images, audio, and video resulting in synthetic content that appears authentic.[10]
- With the world more connected by digital media and the costs for creating deepfakes slumping dramatically, this emerging technology poses a serious risk to your organization.[10]
- You’re probably already familiar with a simpler version of deepfakes used by social media companies like TikTok and Snapchat.[10]
- Deep fake (also spelled deepfake) is a type of artificial intelligence used to create convincing images, audio and video hoaxes.[11]
- An example use case includes when a health charity in the UK used a deepfake to have David Beckham deliver an anti-malaria message.[11]
- Deepfake content is created by using two competing AI algorithms -- one is called the generator and the other is called the discriminator.[11]
- Because deepfakes are created through AI, however, they don't require the considerable skill that it would take to create a realistic video otherwise.[11]
- I knew this deepfake would be coming.[12]
- We're deepfaking the deepfakes now.[12]
- This survey provides a thorough review of techniques for manipulating face images including DeepFake methods, and methods to detect such manipulations.[13]
- The term deepfake melds two words: deep and fake.[14]
- Deepfakes are artificial images and sounds put together with machine-learning algorithms.[14]
- But deepfake technology goes a lot further in how it manipulates visual and audio content.[14]
- A deepfake seeks to deceive viewers with manipulated, fake content.[14]
- Furthermore, the latest trend of using Artificial Intelligence (AI) to create fake videos, known as "DeepFakes" or "FakeNews 2.0", is a fast-growing phenomenon creating major concerns.[15]
- Although DeepFakes are not as prevalent and widespread as Fake News articles, they are increasing in popularity and have a much greater effect on the general population.[15]
- As the usage and threat of DeepFakes and Fake News intensifies, so do efforts to develop new detection methods, resulting in the next wave of (mis)information warfare.[15]
- Quality of Video Analysis - analyzing the differences between deepfakes and real videos.[15]
- Indeed, the first widespread use of synthetic media – non-consensual deepfake pornography, which almost exclusively targets women – has proliferated wildly since it first emerged at the end of 2017.[16]
- In 2021, deepfakes will develop further as weapons of fraud and political propaganda, and we are already seeing examples of this.[16]
- A world in which deepfakes flourish will also be one in which doubt can be cast on documented evidence of wrongdoing.[16]
- In 2021 we must begin to fight back against deepfakes by defining the problem as the corrosion of the entire information ecosystem itself.[16]
- The technology used to create such digital content has quickly become accessible to the masses, and they are called "deepfakes.[17]
- "Deepfakes are raising a set of challenging policy, technology, and legal issues.[17]
- The word deepfake combines the terms "deep learning" and "fake," and is a form of artificial intelligence.[17]
- In simplistic terms, deepfakes are falsified videos made by means of deep learning, said Paul Barrett, adjunct professor of law at New York University.[17]
- Deepfake videos in themselves evoke a range of emotions — a light-hearted chuckle, disgust, and even downright horror– depending on what purpose it has been created for.[18]
- With the advent of easy deepfake video-making apps, even a novice has got access to creating them.[18]
- India saw its first use of deepfake for election purposes in 2020.[18]
- While this particular use of deepfakes was not as outrageous, relatively, it was quickly pointed out that it sets a precedent for future elections and other parties may follow suit.[18]
- No law regulates deepfakes , though some legal and technical experts have recommended adapting current laws covering libel, defamation, identity fraud or impersonating a government official.[19]
- But concerns of overregulation abound: The dividing line between a parody protected by the First Amendment and deepfake political propaganda may not always be clear-cut.[19]
- That data can then be processed in order to create a Deepfake video through a GAN (Generative Adversarial Network).[20]
- This makes Deepfake an ever more potent threat.[20]
- Deepfake examples are not hard to find.[20]
- One example of a Deepfake is the video issued by actor Jordan Peele in which he used real footage of Barack Obama merged with his own impression of Obama to issue a warning against Deepfake videos.[20]
- One major issue is deepfakes, or synthetic media, which are photos, videos or audio files manipulated by artificial intelligence (AI) in hard-to-detect ways.[21]
- As all AI detection methods have rates of failure, we have to understand and be ready to respond to deepfakes that slip through detection methods.[21]
- No single organization is going to be able to have meaningful impact on combating disinformation and harmful deepfakes.[21]
- Video Authenticator will initially be available only through RD2020, which will guide organizations through the limitations and ethical considerations inherent in any deepfake detection technology.[21]
- Some so-called “deepfakes” are harmless fun, but others are made with a more sinister purpose.[22]
- “The big difference is that we scan real people and use it, while deepfakes take data from other people and use it.[22]
- You understand how these deepfakes are being done.[22]
- Future research will seek to improve and refine the FakeCatcher technology, drilling further down into the data to determine how the deepfakes are made.[22]
- Social-media companies are concerned that deepfakes could soon flood their sites.[23]
- “Deepfakes are currently not a big issue,” says Facebook’s CTO, Mike Schroepfer.[23]
- Facebook has also announced the winner of its Deepfake Detection Challenge, in which 2,114 participants submitted around 35,000 models trained on its data set.[23]
- “Even very high-quality deepfakes have some flickering between frames,” says Seferbekov.[23]
- Amini’s Obama video was, in fact, a deepfake—an AI-doctored video in which the facial movements of an actor are transferred to that of a target.[24]
- Since first appearing in 2018, deepfake technology has evolved from hobbyist experimentation to an effective and dangerous tool.[24]
- Deepfake applications work in various ways.[24]
- Deepfake technology isn't the only kind that can swap faces in videos.[24]
- Facebook wants to be able to automatically and accurately detect deepfakes at scale.[25]
- Deepfakes intended to spread misinformation are already a threat to online discourse, and there is every reason to believe this problem will become more significant in the future.[26]
- So far, most ongoing research and mitigation efforts have focused on automated deepfake detection, which will aid deepfake discovery for the next few years.[26]
- In addition to supporting the near-term creation and responsible dissemination of deepfake detection technology, policymakers should invest in discovering and developing longer-term solutions.[26]
- Deepfakes are audio, images, and videos that appear to realistically depict speech and actions, but are actually synthetic representations made using modern artificial intelligence.[26]
- Deepfakes have inspired dread since the term was first coined three years ago.[27]
- The most widely discussed scenario is a deepfake smear of a candidate on the eve of an election.[27]
- Will deepfakes erode truth and trust across the financial system, requiring a major response by the financial industry and government?[27]
- No form of digital disinformation has managed to create a true financial meltdown, and deepfakes are unlikely to be the first.[27]
- This report is the second in a three-part series exploring deepfakes as an emerging disinformation threat.[28]
- In the first paper, we provided an overview of the deepfake threat.[28]
- Some of these actors are pictured here (top) with an example deepfake (bottom), which can be a subtle or drastic change, depending on the other actor used to create them.[29]
- So far, a large number of deepfake videos (known as "deepfakes") have been crafted and uploaded to the internet, calling for effective countermeasures.[30]
- Detectors developed on these datasets may become less effective against real-world deepfakes on the internet.[30]
- WildDeepfake is a small dataset that can be used, in addition to existing datasets, to develop and test the effectiveness of deepfake detectors against real-world deepfakes.[30]
- Attention-based Deepfake Detection Networks (ADDNets) to leverage the attention masks on real/fake faces for improved detection.[30]
- The weaponization of deepfakes can have a massive impact on the economy and national security, it can inflict harm to individuals and democracy.[31]
- Deepfakes can contribute to factual relativism and enables authoritarian leaders to thrive.[31]
소스
- ↑ 1.0 1.1 Deepfake videos: Inside the Pentagon’s race against disinformation
- ↑ 2.0 2.1 2.2 2.3 Deepfakes Are Amazing. They're Also Terrifying for Our Future.
- ↑ 3.0 3.1 3.2 3.3 Deepfake videos: How and why they work — and what is at risk
- ↑ 4.0 4.1 4.2 4.3 10 deepfake examples that terrified and amused the internet
- ↑ 5.0 5.1 5.2 5.3 What are deepfakes – and how can you spot them?
- ↑ 6.0 6.1 6.2 6.3 Wikipedia
- ↑ 7.0 7.1 7.2 7.3 Overview ‹ Detect DeepFakes: How to counteract misinformation created by AI — MIT Media Lab
- ↑ 8.0 8.1 8.2 8.3 Deepfakes and the New AI-Generated Fake Media Creation-Detection Arms Race
- ↑ 9.0 9.1 9.2 Deepfakes – News, Research and Analysis – The Conversation – page 1
- ↑ 10.0 10.1 10.2 10.3 Deepfakes: Preparing for a New Threat
- ↑ 11.0 11.1 11.2 11.3 What is deepfake AI? A definition from WhatIs.com
- ↑ 12.0 12.1 Star Wars fan 'fixes' The Mandalorian season 2 finale with a deepfake video
- ↑ Deepfakes and beyond: A Survey of face manipulation and fake detection
- ↑ 14.0 14.1 14.2 14.3 Deepfakes: What they are and why they’re threatening
- ↑ 15.0 15.1 15.2 15.3 2020 Insights into DeepFake & Fake News Counter Misinformation Solutions Industry to 2026
- ↑ 16.0 16.1 16.2 16.3 Deepfakes are jumping from porn to politics. It’s time to fight back
- ↑ 17.0 17.1 17.2 17.3 What 'deepfakes' are and how they may be dangerous
- ↑ 18.0 18.1 18.2 18.3 Most Shocking Deepfake Videos Of 2020
- ↑ 19.0 19.1 Definition of Deepfake by Merriam-Webster
- ↑ 20.0 20.1 20.2 20.3 Deepfake and Fake Videos - How to Protect Yourself?
- ↑ 21.0 21.1 21.2 21.3 New Steps to Combat Disinformation
- ↑ 22.0 22.1 22.2 22.3 Best way to detect ‘deepfake’ videos? Check for the pulse
- ↑ 23.0 23.1 23.2 23.3 Facebook just released a database of 100,000 deepfakes to teach AI how to spot them
- ↑ 24.0 24.1 24.2 24.3 What Is a Deepfake?
- ↑ Mashable
- ↑ 26.0 26.1 26.2 26.3 Fighting deepfakes when detection fails
- ↑ 27.0 27.1 27.2 27.3 Get Ready for Deepfakes to be Used in Financial Scams
- ↑ 28.0 28.1 Deepfakes: How prepared are we?
- ↑ Google AI Blog: Contributing Data to Deepfake Detection Research
- ↑ 30.0 30.1 30.2 30.3 Proceedings of the 28th ACM International Conference on Multimedia
- ↑ 31.0 31.1 Deepfakes – Towards Data Science
메타데이터
위키데이터
- ID : Q49473179
Spacy 패턴 목록
- [{'LEMMA': 'deepfake'}]
- [{'LEMMA': 'deepfake'}]