Sharing Policies in Multiuser Privacy Scenarios

Fogues, Ricard L.; Murukannaiah, Pradeep K.; Such, José M.; Singh, Munindar P.

doi:10.1145/3038920

Cited by 43 publications

(14 citation statements)

References 52 publications

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“…Regarding audience modification, different approaches were considered for co-owners to agree on who should be able to see an item and to verify that only selected individuals can see the photo. This included studies based on secret sharing [16], the Clarke-Tax mechanism to encourage uploaders to acknowledge co-owners [130,131], aggregated voting [23,118,141], a new framework to reach a consensus based on co-owners' trust values [6], novel access control models [56-59, 145, 150], computational mechanisms for adaptive audience recommendation [135,136], and AI-based negotiation techniques that use game theory [115,139], argumentation theory [36,38,72,94] and human values theory [92][93][94]. Furthermore, Fogues et al [36,37] implemented a recommendation system trained with data collected from a user survey.…”

Section: Precautionary Mechanisms: Novel Solutions To Manage Mpcsmentioning

confidence: 99%

“…This included studies based on secret sharing [16], the Clarke-Tax mechanism to encourage uploaders to acknowledge co-owners [130,131], aggregated voting [23,118,141], a new framework to reach a consensus based on co-owners' trust values [6], novel access control models [56-59, 145, 150], computational mechanisms for adaptive audience recommendation [135,136], and AI-based negotiation techniques that use game theory [115,139], argumentation theory [36,38,72,94] and human values theory [92][93][94]. Furthermore, Fogues et al [36,37] implemented a recommendation system trained with data collected from a user survey. Keküllüoğlu et al [69,70] and Rajtmajer et al [115] considered multiple interactions between OSN users over time.…”

Section: Precautionary Mechanisms: Novel Solutions To Manage Mpcsmentioning

confidence: 99%

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When Forcing Collaboration is the Most Sensible Choice

Cherubini

Niksirat

Boldi

et al. 2021

Proc. ACM Hum.-Comput. Interact.

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Individuals share increasing amounts of personal multimedia data, exposing themselves (uploaders) as well as others (data subjects). Non-consensual sharing of multimedia data that depicts others raises so-called multiparty privacy conflicts (MPCs), which can have severe consequences. To limit the incidence of MPCs, a family of Precautionary mechanisms have recently been developed that force uploaders to collaborate with the other data subjects to prevent MPCs. However, there is still very little work on understanding how users perceive the precautionary mechanisms together with which ones they prefer and why. In addition, precautionary mechanisms have some limitations, e.g., they require linking content to the co-owners' identity. Therefore, we also explore alternatives to precautionary mechanisms and propose a new class of solutions-Dissuasive mechanisms-that aim at deterring the uploaders from sharing without consent. We then present a user-centric comparison of precautionary and dissuasive mechanisms, through a large-scale survey ( = 1792; a representative sample of adult Internet users). Our results showed that respondents prefer precautionary to dissuasive mechanisms. These enforce collaboration, provide more control to the data subjects, but also they reduce uploaders' uncertainty around what is considered appropriate for sharing. We learned that threatening legal consequences is the most desirable dissuasive mechanism, and that respondents prefer the mechanisms that threaten users with immediate consequences (compared with delayed consequences). Dissuasive mechanisms are in fact well received by frequent sharers and older users, while precautionary mechanisms are preferred by women and younger users. We discuss the implications for design, including considerations about side leakages, consent collection, and censorship. CCS Concepts: • Security and privacy → Usability in security and privacy; • Human-centered computing;

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Section: Precautionary Mechanisms: Novel Solutions To Manage Mpcsmentioning

confidence: 99%

Section: Precautionary Mechanisms: Novel Solutions To Manage Mpcsmentioning

confidence: 99%

When Forcing Collaboration is the Most Sensible Choice

Cherubini

Niksirat

Boldi

et al. 2021

Proc. ACM Hum.-Comput. Interact.

Self Cite

View full text Add to dashboard Cite

show abstract

“…These arguments support each co-owner's choice of audience and are divided into three categories: consequences (the impact of sharing the content), analogy from previous experiences, exceptional cases and popular opinion. In their follow-up work [Fogues et al 2017a], the authors developed an inference model to test, with a survey of individuals from MTurk (N = 988), the influence of arguments of preferences and of context in the sharing of new content online. In five different scenarios, each participant had to specify a sharing policy, depending first on contextual factors, then with preferences and finally with the arguments associated with the preferences.…”

Section: Cooperativementioning

confidence: 99%

“…Their model shows the importance of sensitivity and arguments in predicting the best sharing policy. Fogues et al implement a recommending sharing policies agent in the case of multiparty content, which relies on the features considered in their previous work [Fogues et al 2017a] and new features based on user and group characteristics (e.g., age, education level, past experience) [Fogues et al 2017b]. The authors trained the recommending system by collecting data from MTurk participants; they did not specified the number of participants.…”

Section: Cooperativementioning

confidence: 99%

A Survey on Interdependent Privacy

Humbert¹,

Trubert

Huguenin

2019

ACM Comput. Surv.

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The privacy of individuals does not only depend on their own actions and data but may also be affected by the privacy decisions and by the data shared by other individuals. This interdependence is an essential aspect of privacy and ignoring it can lead to serious privacy violations. In this survey, we summarize and analyze research on interdependent privacy risks and on the associated (cooperative and non-cooperative) solutions. We also demonstrate that interdependent privacy has been studied in isolation in different research communities. By doing so, we systematize knowledge on interdependent privacy research and provide insights on how this research should be conducted and which challenges it should address.

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“…Recently, some steps towards the generation of privacy settings for multi-party scenarios have been made by Fogues et al [2017]. A main characteristic of this approach is the use of arguments about privacy settings for the generation of privacy settings besides other factors like social context, the sentiment associated with the information and the privacy settings themselves.…”

Section: Usability and Transparencymentioning

confidence: 99%

Survey on Access Control for Community-Centered Collaborative Systems

2018

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The last decades have seen a growing interest and demand for community-centered collaborative systems and platforms. These systems and platforms aim to provide an environment in which users can collaboratively create, share and manage resources. While offering attractive opportunities for online collaboration and information sharing, they also open several security and privacy issues. This has attracted several research efforts towards the design and implementation of novel access control solutions that can handle the complexity introduced by collaboration. Despite these efforts, transition to practice has been hindered by the lack of maturity of the proposed solutions. The access control mechanisms typically adopted by commercial collaborative systems like online social network websites and collaborative editing platforms, are still rather rudimentary and do not provide users with a sufficient control over their resources. This survey examines the growing literature on access control for collaborative systems centered on communities, and identifies the main challenges to be addressed in order to facilitate the adoption of collaborative access control solutions in real-life settings. Based on the literature study, we delineate a roadmap for future research in the area of access control for community-centered collaborative systems.

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Sharing Policies in Multiuser Privacy Scenarios

Cited by 43 publications

References 52 publications

When Forcing Collaboration is the Most Sensible Choice

When Forcing Collaboration is the Most Sensible Choice

A Survey on Interdependent Privacy

Survey on Access Control for Community-Centered Collaborative Systems

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