Knowledge Tree
privacy
Facts (23)
Sources
A Survey on the Theory and Mechanism of Large Language Models arxiv.org Mar 12, 2026 5 facts
claimThe current landscape of large language models presents new challenges for defining and formalizing concepts like 'robustness', 'fairness', and 'privacy' compared to traditional machine learning, as noted by Chang et al. (2024), Anwar et al. (2024), Dominguez-Olmedo et al. (2025), and Hardt and Mendler-Dünner (2025).
claimTraditional machine learning literature extensively analyzed robustness (Muravev and Petiushko, 2021; Ruan et al., 2021), fairness (Kleinberg et al., 2016; Liu et al., 2019), and privacy (Li et al., 2017; Kairouz et al., 2015) because these concepts were well-defined and formalizable using precise mathematical objectives.
referenceComprehensive surveys on LLM safety and trustworthiness include: safety (Shi et al., 2024), trustworthiness (Huang et al., 2024a; d; Liu et al., 2023c), fairness (Li et al., 2023b; Gallegos et al., 2024; Chu et al., 2024), and privacy (Yao et al., 2024b; Yan et al., 2024; Das et al., 2025).
claimIn the current landscape of Large Language Models, definitions of robustness, fairness, and privacy are often ambiguous and lack simple closed-form mathematical representations compared to traditional machine learning.
referenceThe paper 'Security and privacy challenges of large language models: a survey' was published in ACM Computing Surveys 57 (6), pp. 1–39.
Exploring Open-Source Software Ecosystems for Hardware ... link.springer.com May 1, 2024 3 facts
referenceM. Young et al. published a study titled 'Beyond open vs. closed: Balancing individual privacy and public accountability in data sharing' in the 2019 Proceedings of the conference on Fairness, Accountability, and Transparency.
claimOpen-source software developers have more control over their projects (Wermke et al., 2022), maintain software compatibility (Lundell et al., 2017), and ensure software is auditable (Cowan, 2003), despite existing challenges in security and privacy (Rotella, 2018).
claimCommercial software-as-a-service platforms present issues regarding privacy (Spiegel, 2013), security (Yile, 2016), and cloud migration, which acts as a form of planned obsolescence (Junk & Spannbauer, 2018).
Rethinking Espionage in the Modern Era cjil.uchicago.edu 3 facts
referenceProvision 17 of the International Covenant on Civil and Political Rights states that no one shall be subjected to arbitrary or unlawful interference with their privacy, family, home, or correspondence, and that everyone has the right to legal protection against such interference.
claimThe United Nations General Assembly has called on states to review their intelligence operations to ensure they uphold the right to privacy.
claimThe United Nations General Assembly Resolution 68/167 asserts that the same rights that people have offline must also be protected online, including the right to privacy.
A survey on augmenting knowledge graphs (KGs) with large ... link.springer.com Nov 4, 2024 3 facts
claimIncorporating knowledge graphs into Large Language Models (LLMs) introduces privacy challenges because knowledge graphs often contain sensitive, domain-specific data such as medical records and personal information that require strict privacy controls.
claimIntegrating sensitive datasets with large language models (LLMs) creates a risk of exposing private or confidential information if the model lacks privacy-preserving mechanisms.
claimIntegrating autonomous, user-generated data into knowledge graphs is difficult due to its unstructured nature, slang, acronyms, and contextual references, requiring advanced techniques to manage privacy and individual user biases.
Medical Hallucination in Foundation Models and Their ... medrxiv.org Mar 3, 2025 3 facts
claimIdentified limitations of current AI/LLM tools in the medical field include accuracy issues, lack of domain-specific knowledge, difficulty in explaining AI decisions, privacy and data security concerns, integration with existing workflows, lack of standardization or validation of AI tools, and ethical concerns such as bias or job displacement.
claimSurvey respondents prioritized enhancing accuracy (12 mentions), explainability (10), ethical considerations including bias reduction and privacy (8), integration with existing tools (7), and improving speed and efficiency (3) as future priorities for AI improvement.
measurementSurvey respondents identified lack of domain-specific knowledge (30 mentions) as the most critical limitation of AI/LLMs, followed by privacy and data security concerns (25), accuracy issues (24), lack of standardization/validation of AI tools (23), difficulty in explaining AI decisions (21), and ethical considerations (20).
Cybersecurity Trends and Predictions 2025 From Industry Insiders itprotoday.com 2 facts
measurementA survey from Tableau found that 63% of Internet users believe most companies are not transparent about how their data is used, and 48% of Internet users have stopped shopping with a company because of privacy concerns.
claimNico Chiaraviglio, chief scientist at Zimperium, states that businesses are increasingly seeking mobile security platforms that address both privacy and security needs, recognizing regulatory compliance features as a necessary component of the mobile security stack.
The construction and refined extraction techniques of knowledge ... nature.com Feb 10, 2026 1 fact
procedureThe study 'The construction and refined extraction techniques of knowledge' monitors privacy for released subsets using k-anonymity (≥ 5) and ℓ-diversity (≥ 2) checks, applying aggregate-only reporting where required.
Open-source hardware - Wikipedia, the free encyclopedia smoothieware.github.io Apr 15, 2016 1 fact
claimOpen-source hardware should encourage the creation and sale of hardware that respects users' freedom and privacy, and aims to ensure that users have control over their devices.
What are the challenges in maintaining a knowledge graph? - Milvus milvus.io 1 fact
claimPrivacy and security concerns in knowledge graphs require implementing robust security measures, such as permissions, auditing mechanisms, and encryption protocols, to protect sensitive or proprietary information and ensure regulatory compliance.
The Role of Language in Shaping Social Identity and Cultural ... aithor.com Apr 24, 2025 1 fact
claimRural and urban populations speak differently and possess different cultural goals, which affects their child-rearing practices, values regarding privacy, and rules for living.