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Deepfake technologies have become ubiquitous, "democratizing" the ability to manipulate photos and videos. One popular use of deepfake technology is the creation of sexually explicit content, which can then be posted and shared widely on…

计算机与社会 · 计算机科学 2025-04-30 Rebecca Umbach , Nicola Henry , Gemma Beard , Colleen Berryessa

AI technology has enabled the creation of deepfakes: hyper-realistic synthetic media. We surveyed 315 individuals in the U.S. on their views regarding the hypothetical non-consensual creation of deepfakes depicting them, including deepfakes…

计算机与社会 · 计算机科学 2024-06-21 Natalie Grace Brigham , Miranda Wei , Tadayoshi Kohno , Elissa M. Redmiles

Deepfake technology is often used to create non-consensual synthetic intimate imagery (NSII), mainly of celebrity women. Through Critical Discursive Psychological analysis we ask; i) how celebrities construct being targeted by deepfakes and…

Many malicious actors responsible for disseminating synthetic non-consensual intimate imagery (SNCII) operate within internet forums to exchange resources, strategies, and generated content across multiple platforms.…

The prevalence of sexual deepfake material has exploded over the past several years. Attackers create and utilize deepfakes for many reasons: to seek sexual gratification, to harass and humiliate targets, or to exert power over an intimate…

计算机与社会 · 计算机科学 2025-02-03 Catherine Han , Anne Li , Deepak Kumar , Zakir Durumeric

The rapid proliferation of AI-generated content, driven by advances in generative adversarial networks, diffusion models, and multimodal large language models, has made the creation and dissemination of synthetic media effortless,…

计算机视觉与模式识别 · 计算机科学 2025-10-31 Guangyu Lin , Li Lin , Christina P. Walker , Daniel S. Schiff , Shu Hu

Non-consensual intimate media (NCIM) involves sharing intimate content without the depicted person's consent, including "revenge porn" and sexually explicit deepfakes. While NCIM has received attention in legal, psychological, and…

计算机与社会 · 计算机科学 2024-08-07 Li Qiwei , Allison McDonald , Oliver L. Haimson , Sarita Schoenebeck , Eric Gilbert

Generative AI systems increasingly enable the production of highly realistic synthetic media. Civitai, a popular community-driven platform for AI-generated content, operates a monetized feature called Bounties, which allows users to…

计算机与社会 · 计算机科学 2026-01-22 Shalmoli Ghosh , Matthew R. DeVerna , Filippo Menczer

Recent advances in AI technology have made the forgery of digital images and videos easier, and it has become significantly more difficult to identify such forgeries. These forgeries, if disseminated with malicious intent, can negatively…

计算机视觉与模式识别 · 计算机科学 2019-12-30 Chia-Mu Yu , Ching-Tang Chang , Yen-Wu Ti

Deepfakes, synthetic media created using advanced AI techniques, pose a growing threat to information integrity, particularly in politically sensitive contexts. This challenge is amplified by the increasing realism of modern generative…

This paper provides policy recommendations to address threats from deepfakes. First, we provide background information about deepfakes and review the harms they pose. We describe how deepfakes are currently used to proliferate sexual abuse…

密码学与安全 · 计算机科学 2024-02-20 Andrea Miotti , Akash Wasil

Advances in multimodal machine learning have made text-to-image (T2I) models increasingly accessible and popular. However, T2I models introduce risks such as the generation of non-consensual depictions of identifiable individuals, otherwise…

计算机与社会 · 计算机科学 2025-05-08 Will Hawkins , Chris Russell , Brent Mittelstadt

Under the aegis of computer vision and deep learning technology, a new emerging techniques has introduced that anyone can make highly realistic but fake videos, images even can manipulates the voices. This technology is widely known as…

机器学习 · 计算机科学 2023-02-15 Bahar Uddin Mahmud , Afsana Sharmin

A deepfake is a photo or video of a person whose image has been digitally altered or partially replaced with an image of someone else. Deepfakes have the potential to cause a variety of problems and are often used maliciously. A common…

人工智能 · 计算机科学 2024-09-01 Natalie Krueger , Mounika Vanamala , Rushit Dave

The last few years have significantly increased global interest in generative artificial intelligence. Deepfakes, which are synthetically created videos, emerged as an application of generative artificial intelligence. Fake news and…

人机交互 · 计算机科学 2023-05-18 Deepak Giri , Erin Brady

In the recent years, social media has grown to become a major source of information for many online users. This has given rise to the spread of misinformation through deepfakes. Deepfakes are videos or images that replace one persons face…

计算机视觉与模式识别 · 计算机科学 2022-07-28 Jacob Mallet , Rushit Dave , Naeem Seliya , Mounika Vanamala

In this paper, we adopt a survivor-centered approach to locate and dissect the role of sociotechnical AI governance in preventing AI-Generated Non-Consensual Intimate Images (AIG-NCII) of adults, colloquially known as "deep fake…

人机交互 · 计算机科学 2026-03-09 Michelle L. Ding , Harini Suresh

As many as 8 in 10 adults share intimate content such as nude or lewd images. Sharing such content has significant benefits for relationship intimacy and body image, and can offer employment. However, stigmatizing attitudes and a lack of…

密码学与安全 · 计算机科学 2024-06-17 Lucy Qin , Vaughn Hamilton , Sharon Wang , Yigit Aydinalp , Marin Scarlett , Elissa M. Redmiles

In 2022, AI image generators crossed a threshold, enabling much more efficient and dynamic production of photorealistic deepfake images than before. This enabled opportunities for creative and positive uses of these models. However, it also…

计算机与社会 · 计算机科学 2026-05-26 Max Kamachee , Stephen Casper , Michelle L. Ding , Rui-Jie Yew , Anka Reuel , Stella Biderman , Dylan Hadfield-Menell

Deepfake is a generative deep learning algorithm that creates or changes facial features in a very realistic way making it hard to differentiate the real from the fake features It can be used to make movies look better as well as to spread…

计算机视觉与模式识别 · 计算机科学 2024-06-21 Nadeem Jabbar CH , Aqib Saghir , Ayaz Ahmad Meer , Salman Ahmad Sahi , Bilal Hassan , Siddiqui Muhammad Yasir
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