Safer Digital Intimacy For Sex Workers And Beyond: A Technical Research Agenda
- URL: http://arxiv.org/abs/2403.10688v2
- Date: Tue, 19 Mar 2024 03:47:57 GMT
- Title: Safer Digital Intimacy For Sex Workers And Beyond: A Technical Research Agenda
- Authors: Vaughn Hamilton, Gabriel Kaptchuk, Allison McDonald, Elissa M. Redmiles,
- Abstract summary: Many people engage in digital intimacy: sex workers, their clients, and people who create and share intimate content recreationally.
With this intimacy comes significant security and privacy risk, exacerbated by stigma.
In this article, we present a commercial digital intimacy threat model and 10 research directions for safer digital intimacy.
- Score: 21.70034795348216
- License: http://creativecommons.org/licenses/by-sa/4.0/
- Abstract: Many people engage in digital intimacy: sex workers, their clients, and people who create and share intimate content recreationally. With this intimacy comes significant security and privacy risk, exacerbated by stigma. In this article, we present a commercial digital intimacy threat model and 10 research directions for safer digital intimacy
Related papers
- DNA: Differentially private Neural Augmentation for contact tracing [62.740950398187664]
Contact tracing is an effective way to reduce infection rates by detecting potential virus carriers early.
We substantially improve the privacy guarantees of the current state of the art in decentralized contact tracing.
This work marks an important first step in integrating deep learning into contact tracing while maintaining essential privacy guarantees.
arXiv Detail & Related papers (2024-04-20T13:43:28Z) - Privacy-preserving Optics for Enhancing Protection in Face De-identification [60.110274007388135]
We propose a hardware-level face de-identification method to solve this vulnerability.
We also propose an anonymization framework that generates a new face using the privacy-preserving image, face heatmap, and a reference face image from a public dataset as input.
arXiv Detail & Related papers (2024-03-31T19:28:04Z) - "Did They F***ing Consent to That?": Safer Digital Intimacy via Proactive Protection Against Image-Based Sexual Abuse [12.424265801615322]
8 in 10 adults share intimate content such as nude or lewd images.
Stigmatizing attitudes and a lack of technological mitigations put those sharing such content at risk of sexual violence.
arXiv Detail & Related papers (2024-03-07T17:04:55Z) - The Importance of Collective Privacy in Digital Sexual and Reproductive
Health [5.524804393257921]
We analyzed 15 Internet of Things devices with sexual and reproductive tracking services.
Results suggest that digital sexual and reproductive health data privacy is both an individual and collective endeavor.
arXiv Detail & Related papers (2023-11-26T21:25:08Z) - Risk, Resilience and Reward: Impacts of Shifting to Digital Sex Work [14.600192799641077]
We examine the impact of shifting from in-person to online-only work on a particularly marginalized group of workers: sex workers.
We find that online work offers benefits to sex workers' financial and physical well-being.
Online-only work introduces new and greater digital and mental health risks as a result of the need to be publicly visible.
arXiv Detail & Related papers (2022-03-23T21:21:11Z) - Privacy-Preserving Image Acquisition Using Trainable Optical Kernel [50.1239616836174]
We propose a trainable image acquisition method that removes the sensitive identity revealing information in the optical domain before it reaches the image sensor.
As the sensitive content is suppressed before it reaches the image sensor, it does not enter the digital domain therefore is unretrievable by any sort of privacy attack.
arXiv Detail & Related papers (2021-06-28T11:08:14Z) - Privacy threats in intimate relationships [0.720851507101878]
This article provides an overview of intimate threats: a class of privacy threats that can arise within our families, romantic partnerships, close friendships, and caregiving relationships.
We survey a range of intimate relationships and describe their common features.
Based on these features, we explore implications for both technical privacy design and policy, and offer design recommendations for ameliorating intimate privacy risks.
arXiv Detail & Related papers (2020-06-06T16:21:14Z) - InfoScrub: Towards Attribute Privacy by Targeted Obfuscation [77.49428268918703]
We study techniques that allow individuals to limit the private information leaked in visual data.
We tackle this problem in a novel image obfuscation framework.
We find our approach generates obfuscated images faithful to the original input images, and additionally increase uncertainty by 6.2$times$ (or up to 0.85 bits) over the non-obfuscated counterparts.
arXiv Detail & Related papers (2020-05-20T19:48:04Z) - Usable, Acceptable, Appropriable: Towards Practicable Privacy [2.0305676256390934]
This paper explores the privacy needs of marginalized and vulnerable populations.
We introduce computers and the Internet to a group of sex-trafficking survivors in Nepal.
We highlight a few socio-political factors that have influenced the design space around digital privacy.
arXiv Detail & Related papers (2020-04-15T21:39:33Z) - #MeToo on Campus: Studying College Sexual Assault at Scale Using Data
Reported on Social Media [71.74529365205053]
We analyze the influence of the # trend on a pool of college followers.
The results show that the majority of topics embedded in those # tweets detail sexual harassment stories.
There exists a significant correlation between the prevalence of this trend and official reports on several major geographical regions.
arXiv Detail & Related papers (2020-01-16T18:05:46Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.