Tuesday, August 13, 2024

NOVO TRABALHO



ago24

A systematic literature review on deepfake detection techniquesPublished: 02 August 2024(2024)
Cite this article

Multimedia Tools and ApplicationsAims and scopeSubmit manuscript

Vishal Kumar Sharma,
Rakesh Garg &
Quentin Caudron

Abstract

Big data analytics, computer vision, and human-level governance are key areas where deep learning has been impactful. However, its advancements have also led to concerns over privacy, democracy, and national security, particularly with the advent of deepfake technology. Deepfakes, a term coined in 2017, primarily involve face-swapping in videos. Initially easy to detect, rapid advancements in machine learning have made deepfakes increasingly realistic and challenging to distinguish from reality. Generative Adversarial Networks (GANs) and other deep learning methods are instrumental in creating deepfakes, leading to the development of applications like Faceapp and Fake App. These technological advancements, while impressive, pose significant risks to individual integrity and societal trust. Recognizing this, the necessity to develop systems capable of instantaneously identifying and assessing the authenticity of digital visual media has become paramount. This study aims to evaluate deepfake detection methods by discussing manipulations, optimizations, and enhancements of existing algorithms. It explores various datasets for image, video, and audio deepfake detection, including performance metrics to gauge detection algorithm effectiveness. Through a comprehensive review, this paper identifies gaps in current research, proposes future research directions, and provides a detailed quantitative and qualitative analysis of existing deepfake detection techniques. By consolidating existing literature and presenting new insights, this study serves as a valuable resource for researchers and practitioners aiming to advance the field of deepfake detection.~

https://link.springer.com/article/10.1007/s11042-024-19906-1

Friday, July 12, 2024

"Will Singapore succeed in banning deepfakes? "



sout24


Singapore passes law to ban deepfakes of candidates during elections


The publication, boosting, sharing and reposting of such deepfake content during an election period will be an offence.


15 Oct 2024 09:20PM(Updated: 15 Oct 2024 09:52PM)




SINGAPORE: Singapore's parliament passed a law on Tuesday (Oct 15) that would ban deepfakes and other digitally manipulated content of candidates during elections.
WHAT THE BILL IS ABOUT

The Elections (Integrity of Online Advertising) (Amendment) Bill, which was tabled by the Ministry of Digital Development and Information (MDDI) last month, prohibits the publication of digitally generated or manipulated content during elections that realistically depicts a candidate saying or doing something that they did not say or do.

ADVERTISEMENT


This will only apply to online election advertising that depicts people who are running as candidates.

It will take effect once the writ of election is issued and until the close of polling, and will only apply if four conditions are fulfilled: The content is online election advertising, where its intent is to promote, procure or prejudice the electoral prospects of a party or candidate.
The content is digitally generated or manipulated.
The content depicts a candidate saying or doing something that he or she did not say or do.
The content is realistic enough that some members of the public who see or hear the content would reasonably believe that the candidate did in fact say or do that thing.

If the content fulfils all four conditions, it would be a criminal offence to publish it as well as to share or repost it.

MDDI said previously that minor modifications such as beauty filters will not be covered as they do not capture the candidate doing or saying something they did not do. 

Animated characters or cartoons, as well as entertainment content and memes that are not realistic, are also excluded.

https://www.channelnewsasia.com/singapore/singapore-ban-deepfakes-general-election-candidates-law-4679781


set24


In a bid to shore up trust in public institutions, Singapore is considering making legislative changes that will enable candidates to flag deepfake videos of themselves during elections, Senior Minister of State for Digital Development and Information Janil Puthucheary says.

The city state joins other jurisdictions looking to clamp down on manipulated media, with its next general election to be held no later than November 2025.

Puthucheary, who was among panel speakers on Friday at the Lee Kuan Yew School of Public Policy’s Festival of Ideas, said the proposed safeguards would enable election candidates to report digitally manipulated content that realistically depicts them saying or doing something that they did not in fact say or do.

The proposed Elections (Integrity of Online Advertising) (Amendment) Bill grants the Returning Officer, who supervises elections, the power to issue corrective directions to publishers or service providers. Misrepresented candidates can also declare the truthfulness of their claims.

Failure to comply could result in fines, imprisonment, or both. Candidates who submit false or misleading information risk a fine or losing their seats.

During a panel on AI governance and disinformation, Puthucheary warned that how voters absorb information is an area “rife for manipulation for AI-driven tools”.

He added that the bill, which would be debated in parliament at the next available sitting, was intended to avoid situations in other countries where public trust had been eroded by deep fakes.

“It is, in terms of its operations, focused around the candidate … But it has, as its intent, the shoring up of public trust in information discourse platforms, the media, and that sense of institutions having a responsibility above and beyond their own narrow interests,” the minister said.

In recent years, Singapore has implemented legislation to tackle fake news and online misinformation. This includes controversial laws such as the Protection from Online Falsehoods and Manipulation Act (Pofma) and Foreign Interference (Countermeasures) Act, which allow authorities to take action against perceived falsehoods or foreign interference in local politics.

Puthucheary, who is also the Senior Minister of State for Health, addressed the difference between Pofma and the bill on Friday, saying that with Pofma, there was a “test around public interest and a requirement for an establishment of fact by an authoritative third party”.

He explained, for example, how someone might have a very different opinion of vaccines, but ultimately, an academic informing the Health Ministry could advise them that this was against the public interest.

Puthucheary said this was a very different process from an election, where the only people who could provide verification that something did not happen were the candidates themselves.

“The government is in no position to do so, a third party, an academic, a professor, research institution, is in no position to do so,” he said.

He noted that other organisations might have technological views about the material, but whether an act happened was something a candidate had “an interest in expressing, and then a responsibility to address in terms of providing the electorate the correct information”.

Puthucheary noted that high trust in institutions such as the government and the media was a “necessary precondition” for discussions on the electoral process, acknowledging that Singapore was privileged to have this trust.

https://www.scmp.com/week-asia/politics/article/3279357/singapore-seeks-fight-deepfakes-elections-new-laws-ahead-2025-polls

jul24

Singapore is exploring ways to regulate deepfake content and potentially introducing a temporary ban due to concerns that AI may significantly blur the lines between fact and fiction ahead of elections.  Minister for digital development and information Josephine Teo mentioned at the Reuters Next Apac conference that various countries, like South Korea, are implementing measures such as a 90-day ban on political AI content before elections.  However, Teo noted that Singapore's short election period requires different solutions. The country addresses AI-generated misinformation with laws like the Protection from Online Falsehoods and Manipulation Act (Pofma), which can be applied to AI-generated fake news.  Teo emphasised the need for regulations to close loopholes in the law regarding AI-created falsehoods. In addition, she discussed Singapore's ambition to become a global AI player, highlighting the importance of talent, data access frameworks, and expanding data centre capacity to support AI development. My take: As AI technology advances, the potential for misuse, especially in the political arena, is significant. For example, AI-generated videos featuring Singapore’s former prime minister, Lee Hsien Loong, discussing international issues and foreign leaders have emerged, and, more sinisterly, British female politicians have fallen victim to AI-generated fake pornography, with their faces used in explicit images.  These images, some of which have been online for years and garnered hundreds of thousands of views, range from crude Photoshops to more sophisticated deepfakes created with AI technology. On the other hand, during the recent Indian elections, politicians had no qualms about using deepfake audio and video of themselves to connect with voters, who were often unaware that they were interacting with a digital clone rather than the actual person. According to Wired, people living in rural areas frequently experience a heightened sense of importance when they receive personalised AI calls from individuals in high positions. Regardless of how politicians use AI, I would like to see the law agile enough to address the unique characteristics of AI-generated deepfakes, which can be more sophisticated and more challenging to detect than traditional misinformation. However, I acknowledge that balancing the need for stringent regulations with the flexibility to adapt to new technological developments can be difficult.

Read more at: https://www.campaignasia.com/article/tech-on-me-will-singapore-succeed-in-banning-deepfakes/497151

Monday, April 29, 2024

the medium is the message" still applies—perhaps now more than ever.

MAR24

What are some ways to spot deepfakes?

In the near term, you can still often trust your instincts about deepfakes. The mouth moves out of sync with the body, or reflections are at a different frame rate, etc.

In the medium term, we can use deepfake detection software, but it's an , and the accuracy will likely decline over time as deepfake algorithms improve.

In the long term, deepfakes may eventually become indistinguishable from real imagery. When that day comes, we can no longer rely on detection as a strategy. So, what do we have left that AI cannot deepfake? Here are two things: physical reality itself and strong cryptography, which is about strongly and verifiably connecting data to a digital identity.

Cryptography is what we use to keep browsing histories private, passwords secret, and it lets you prove you're you. The modern internet could not exist without it. In the world of computation, AI is just an algorithm like all others and cryptography is designed to be hard for any algorithm to break.

We are still able to link a physical entity (a person) to a strong notion of digital identity. This suggests that 'is this a ?' may not be the right question we should be asking.

If 'is this a deepfake' is the wrong question, what is the right one?

 The right questions to ask are: Where is this image coming from? Who is the source? How can I tell?

The sophistication of deepfakes may eventually evolve to the point where we can no longer distinguish between a real photo and an algorithmically generated fantasy.

In this world, the focus of the conversation should be less on the content of the image but on where it came from, i.e., the source, the communication channel, the medium. In that sense, Marshall McLuhan's old wisdom that "the medium is the message" still applies—perhaps now more than ever.

https://techxplore.com/news/2024-04-deepfake-wrong.html

Sunday, April 7, 2024

Redes sociais (II desde mar24)

 Apr24

Meta, the parent company of Facebook, unveiled significant revisions to its guidelines concerning digitally produced and altered media on Friday, just ahead of the impending US elections that will serve as a test for its capacity to manage deceptive content stemming from emerging artificial intelligence technologies. According to Monika Bickert, Vice President of Content Policy at Meta, the social media behemoth will commence the application of “Made with AI” labels starting in May.

These labels will be affixed to AI-generated videos, images, and audio shared across Meta's platforms. This initiative marks an expansion of their existing policy, which had previously only addressed a limited subset of manipulated videos.

https://news.abplive.com/technology/meta-deepfakes-altered-media-us-presidential-elections-policy-change-strict-guidelines-1678040

Friday, April 5, 2024

AI clones

 Fev24

Several terms have been used interchangeably for AI clones: AI replica, agent, digital twin, persona, personality, avatar, or virtual human. AI clones for people who have died have been called thanabots, griefbots, deadbots, deathbots and ghostbots, but there is so far no uniform term that specifies AI clones of living people. Deepfake is the term used for when an AI-altered or -generated image is misused to deceive others or spread disinformation.

Since 2019, I have interviewed hundreds of people about their views on digital twins or AI clones through my performance Elixir: Digital Immortality, based on a fictional tech startup that offers AI clones. The general audience response was one of curiosity, concern, and caution. A recent study similarly highlights three areas of concerns about having an AI clone: "doppelgänger-phobia," identity fragmentation, and false living memories.

Potential Harmful Psychological Effects of AI Clones

https://www.psychologytoday.com/us/blog/urban-survival/202401/the-psychological-effects-of-ai-clones-and-deepfakes

Monday, February 19, 2024

A AI 'remediou' o video!

feve24

 https://tek.sapo.pt/multimedia/artigos/uma-simples-frase-pode-criar-um-video-feito-por-ia-veja-o-que-a-sora-da-openai-pode-fazer?elqTrackId=4ddec5c3f5e04ea3904d618a1df138d7&elq=e67b83bdea8c4ff6b5489bd86ddca626&elqaid=10709&elqat=1&elqCampaignId=10270


Wednesday, February 14, 2024

combater tecnologia (II)

jul31

After a staggering increase in the number of fake pornographic videos and images uploaded online in the last several years, Google on Wednesday announced new measures to assist victims and reduce the prominence of deepfakes in top search results.

The search engine also committed to taking steps to derank websites that frequently host the nonconsensual sexually explicit fake videos — also known as deepfakes — meaning that they may appear lower in search results. Deepfakes refer to misleading fake media, which has increasingly been created using artificial-intelligence tools.

Nonconsensual sexually explicit deepfakes often “swap” a victim’s face onto the body of a person in a pre-existing pornographic video. Generative AI tools have also been used to create fake but realistic sexually explicit images that depict real people, or “undress” real photos to make victims appear nude. The practice overwhelmingly affects women and girls, both public figures and, increasingly, girls in middle and high schools around the world.~

https://www.nbcnews.com/tech/tech-news/google-announces-news-steps-combat-sexually-explicit-deepfakes-rcna164560

jun24

FSBI: Deepfakes Detection with Frequency Enhanced Self-Blended Images

Abstract—Advances in deepfake research have led to the

creation of almost perfect manipulations undetectable by human

eyes and some deepfakes detection tools. Recently, several

techniques have been proposed to differentiate deepfakes from

realistic images and videos. This paper introduces a Frequency

Enhanced Self-Blended Images (FSBI) approach for deepfakes

detection. This proposed approach utilizes Discrete Wavelet

Transforms (DWT) to extract discriminative features from the

self-blended images (SBI) to be used for training a convolutional

network architecture model. The SBIs blend the image with itself

by introducing several forgery artifacts in a copy of the image

before blending it. This prevents the classifier from overfitting

specific artifacts by learning more generic representations. These

blended images are then fed into the frequency features extractor

to detect artifacts that can not be detected easily in the time

domain. The proposed approach has been evaluated on FF++

and Celeb-DF datasets and the obtained results outperformed

the state-of-the-art techniques with the cross-dataset evaluation

protocol. The code is available at https://github.com/gufranSabri/

FSBI.

(texto no arquivo)

mar24

South Korea’s police forces are developing a new deepfake detection tool that they can use during criminal investigations.

The Korean National Police Agency (KNPA) announced on March 5, 2024 to South Korean press agency Yonhap that its National Office of Investigation (NOI) will deploy new software designed to detect whether video clips or image files have been manipulated using deepfake techniques.

Unlike most existing AI detection tools, traditionally trained on Western-based data, the model behind this new software was trained on 5.2 million pieces of data from 5400 Koreans and related figures. It adopts “the newest AI model to respond to new types of hoax videos that were not pretrained,” KNPA said.

https://www.infosecurity-magazine.com/news/south-korea-police-deepfake/


 fev24

Major technology companies signed a pact Friday to voluntarily adopt “reasonable precautions” to prevent artificial intelligence tools from being used to disrupt democratic elections around the world.

Executives from Adobe, Amazon, Google, IBM, Meta, Microsoft, OpenAI and TikTok gathered at the Munich Security Conference to announce a new framework for how they respond to AI-generated deepfakes that deliberately trick voters. Twelve other companies — including Elon Musk’s X — are also signing on to the accord.

“Everybody recognizes that no one tech company, no one government, no one civil society organization is able to deal with the advent of this technology and its possible nefarious use on their own,” said Nick Clegg, president of global affairs for Meta, the parent company of Facebook and Instagram, in an interview ahead of the summit.

https://apnews.com/article/ai-generated-election-deepfakes-munich-accord-meta-google-microsoft-tiktok-x-c40924ffc68c94fac74fa994c520fc06


fev24

Technology giants are planning a new industry “accord” to fight back against “deceptive artificial intelligence election content” that is threatening the integrity of major democratic elections across the world this year.

A draft Tech Accord, seen by POLITICO, showed technology companies want to work together to create tools like watermarks and detection techniques to spot, label and debunk “deepfake” AI-manipulated images and audio of public figures. The pledge also includes commitments to open up more about how the firms are fighting AI-generated disinformation on their platforms.

“We affirm that the protection of electoral integrity and public trust is a shared responsibility and a common good that transcends partisan interests and national borders,” the draft reads.

https://www.politico.eu/article/tech-accord-industry-munich-security-conference-deepfake-ai-election-content/