Results 101 to 110 of about 12,885 (184)

Digital Privacy in Healthcare: State-of-the-Art and Future Vision

open access: yesIEEE Access
The article draws inspiration from IEEE Digital Privacy, which explores attaining privacy goals for individuals in the digital realm. Privacy is an umbrella term that equates to respect for an individual’s dignity.
Shalaka S. Mahadik   +8 more
doaj   +1 more source

Location data and privacy: a framework for analysis

open access: yes, 2012
Innovative services have exploited data about users’ physical location, sometimes but not always explicitly with their consent. As new applications that reveal users’ location data appear on the Web it essential to focus on the privacy implications, in ...
Millard, David   +3 more
core  

Face Off: An Examination of State Biometric Privacy Statutes & Data Harm Remedies [PDF]

open access: yes, 2019
As biometric authentication becomes an increasingly popular method of security among consumers, only three states currently have statutes detailing how such data may be collected, used, retained, and released.
Rivera, Michael A.
core   +1 more source

Evaluation of Privacy-Preserving Support Vector Machine (SVM) Learning Using Homomorphic Encryption

open access: yesCryptography
The requirement for privacy-aware machine learning increases as we continue to use PII (personally identifiable information) within machine training. To overcome the existing privacy issues, we can apply fully homomorphic encryption (FHE) to encrypt data
William J. Buchanan, Hisham Ali
doaj   +1 more source

After Over-Privileged Permissions: Using Technology and Design to Create Legal Compliance [PDF]

open access: yes, 2019
Consumers in the mobile ecosystem can putatively protect their privacy with the use of application permissions. However, this requires the mobile device owners to understand permissions and their privacy implications.
Madappa, Dhruv   +2 more
core   +1 more source

Learnable Privacy Neurons Localization in Language Models

open access: yes
Concerns regarding Large Language Models (LLMs) to memorize and disclose private information, particularly Personally Identifiable Information (PII), become prominent within the community.
Chen, Ruizhe   +3 more
core  

Innovative Guardrails for Generative AI: Designing an Intelligent Filter for Safe and Responsible LLM Deployment

open access: yesApplied Sciences
This paper proposes a technological framework designed to mitigate the inherent risks associated with the deployment of artificial intelligence (AI) in decision-making and task execution within the management processes. The Agreement Validation Interface
Olga Shvetsova   +2 more
doaj   +1 more source

Fine-Tuning Large Language Models: Assessing Memorization and Redaction of Personally Identifiable Information [PDF]

open access: yes
Masteroppgave(MSc) in Master of Science in Business, Data Science for Business - Handelshøyskolen BI, 2024Memorization and redaction of Personally Identifiable Information (PII) in fine-tuned transformer-based Large Language Models (LLMs) is a new ...
Alfnes, Augusta Sverdrup   +1 more
core  

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