What is she best known for?
The fields of study she is best known for:
- The Internet
- Artificial intelligence
- Computer network
Anna Squicciarini spends much of her time researching Computer security, Internet privacy, Information privacy, World Wide Web and Access control.
Her Embedding research extends to the thematically linked field of Computer security.
Her Internet privacy research includes elements of Variety, Identity management and Cloud computing security.
Her study in Information privacy focuses on Privacy by Design in particular.
Her work on Social network and Web service as part of general World Wide Web study is frequently linked to Product and Dynamics, bridging the gap between disciplines.
Her study in Access control is interdisciplinary in nature, drawing from both Information security, The Internet and Authentication, Digital credential.
Her most cited work include:
- Trust-/spl Xscr/;: a peer-to-peer framework for trust establishment (229 citations)
- Collective privacy management in social networks (180 citations)
- Ensuring Distributed Accountability for Data Sharing in the Cloud (165 citations)
What are the main themes of her work throughout her whole career to date?
Anna Squicciarini mostly deals with Computer security, Internet privacy, Access control, World Wide Web and Information privacy.
Her work is dedicated to discovering how Computer security, The Internet are connected with Knowledge management and other disciplines.
In her research on the topic of Internet privacy, Identity management is strongly related with Digital identity.
Her Access control study combines topics in areas such as Digital credential, Content management, Information security and Social network.
Her World Wide Web study frequently draws connections to other fields, such as Set.
Her study in Privacy by Design and Privacy policy are all subfields of Information privacy.
She most often published in these fields:
- Computer security (34.22%)
- Internet privacy (23.56%)
- Access control (23.11%)
What were the highlights of her more recent work (between 2017-2021)?
- Personally identifiable information (11.11%)
- Crowdsourcing (4.89%)
- Internet privacy (23.56%)
In recent papers she was focusing on the following fields of study:
Anna Squicciarini focuses on Personally identifiable information, Crowdsourcing, Internet privacy, Access control and Data science.
Her Personally identifiable information study which covers Strategy that intersects with Social relation.
Her work in Crowdsourcing addresses subjects such as Distributed computing, which are connected to disciplines such as Linear programming and Quality of service.
Internet privacy and Conversation are two areas of study in which Anna Squicciarini engages in interdisciplinary work.
The study incorporates disciplines such as Artificial neural network, Image, Attribution and Social network in addition to Access control.
Her Data science study combines topics from a wide range of disciplines, such as Focus, Decision rule and Identification.
Between 2017 and 2021, her most popular works were:
- Backdoor Embedding in Convolutional Neural Network Models via Invisible Perturbation (55 citations)
- Survey on Access Control for Community-Centered Collaborative Systems (33 citations)
- Combating Crowdsourced Review Manipulators: A Neighborhood-Based Approach (31 citations)
In her most recent research, the most cited papers focused on:
- The Internet
- Artificial intelligence
- Computer network
Her primary scientific interests are in Crowdsourcing, Convolutional neural network, Quality of service, Embedding and Access control.
Her Convolutional neural network research incorporates elements of Exploit, Adversary, Adversary model and Backdoor.
The concepts of her Quality of service study are interwoven with issues in Distributed computing, Cloud testing and Server.
Her Embedding study combines topics in areas such as Sample, Feature, Information retrieval and Fake reviews.
Anna Squicciarini focuses mostly in the field of Access control, narrowing it down to matters related to Control and, in some cases, Social network.
Her study in Computer security extends to Deep learning with its themes.
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