Unified Locational Differential Privacy Framework
Fuente:
arXiv
Saved in:
| Main Authors: | Priyanshu, Aman, Maurya, Yash, Ganesh, Suriya, Tran, Vy |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
AI Governance and Accountability: An Analysis of Anthropic's Claude
by: Priyanshu, Aman, et al.
Published: (2024)
by: Priyanshu, Aman, et al.
Published: (2024)
The Silent Curriculum: How Does LLM Monoculture Shape Educational Content and Its Accessibility?
by: Priyanshu, Aman, et al.
Published: (2024)
by: Priyanshu, Aman, et al.
Published: (2024)
Decision Making with Differential Privacy under a Fairness Lens
by: Fioretto, Ferdinando, et al.
Published: (2021)
by: Fioretto, Ferdinando, et al.
Published: (2021)
FRACTURED-SORRY-Bench: Framework for Revealing Attacks in Conversational Turns Undermining Refusal Efficacy and Defenses over SORRY-Bench (Automated Multi-shot Jailbreaks)
by: Priyanshu, Aman, et al.
Published: (2024)
by: Priyanshu, Aman, et al.
Published: (2024)
Unifying Re-Identification, Attribute Inference, and Data Reconstruction Risks in Differential Privacy
by: Kulynych, Bogdan, et al.
Published: (2025)
by: Kulynych, Bogdan, et al.
Published: (2025)
Scaling Legal AI: Benchmarking Mamba and Transformers for Statutory Classification and Case Law Retrieval
by: Maurya, Anuraj
Published: (2025)
by: Maurya, Anuraj
Published: (2025)
Democratizing Differential Privacy: A Participatory AI Framework for Public Decision-Making
by: Yang, Wenjun, et al.
Published: (2025)
by: Yang, Wenjun, et al.
Published: (2025)
Privacy Ethics Alignment in AI: A Stakeholder-Centric Framework for Ethical AI
by: Barthwal, Ankur, et al.
Published: (2025)
by: Barthwal, Ankur, et al.
Published: (2025)
AI Literacy for All: Adjustable Interdisciplinary Socio-technical Curriculum
by: Tadimalla, Sri Yash, et al.
Published: (2024)
by: Tadimalla, Sri Yash, et al.
Published: (2024)
Got a Secret? LLM Agents Can't Keep It: Evaluating Privacy in Multi-Agent Systems
by: Priyanshu, Aman, et al.
Published: (2026)
by: Priyanshu, Aman, et al.
Published: (2026)
WHBench: Evaluating Frontier LLMs with Expert-in-the-Loop Validation on Women's Health Topics
by: Maurya, Sneha, et al.
Published: (2026)
by: Maurya, Sneha, et al.
Published: (2026)
Current state of LLM Risks and AI Guardrails
by: Ayyamperumal, Suriya Ganesh, et al.
Published: (2024)
by: Ayyamperumal, Suriya Ganesh, et al.
Published: (2024)
A Unified Framework to Quantify Cultural Intelligence of AI
by: Dev, Sunipa, et al.
Published: (2026)
by: Dev, Sunipa, et al.
Published: (2026)
The Unified Control Framework: Establishing a Common Foundation for Enterprise AI Governance, Risk Management and Regulatory Compliance
by: Eisenberg, Ian W., et al.
Published: (2025)
by: Eisenberg, Ian W., et al.
Published: (2025)
From Motion Signals to Insights: A Unified Framework for Student Behavior Analysis and Feedback in Physical Education Classes
by: Gao, Xian, et al.
Published: (2025)
by: Gao, Xian, et al.
Published: (2025)
Unbounded Harms, Bounded Law: Liability in the Age of Borderless AI
by: Tran, Ha-Chi
Published: (2026)
by: Tran, Ha-Chi
Published: (2026)
Privacy-Aware Predictions in Participatory Budgeting
by: Zambrano, Juan, et al.
Published: (2025)
by: Zambrano, Juan, et al.
Published: (2025)
Large Language Models are Zero-Shot Next Location Predictors
by: Beneduce, Ciro, et al.
Published: (2024)
by: Beneduce, Ciro, et al.
Published: (2024)
Ethical AI in Retail: Consumer Privacy and Fairness
by: Adanyin, Anthonette
Published: (2024)
by: Adanyin, Anthonette
Published: (2024)
A Unifying Human-Centered AI Fairness Framework
by: Rahman, Munshi Mahbubur, et al.
Published: (2025)
by: Rahman, Munshi Mahbubur, et al.
Published: (2025)
A new framework for prognostics in decentralized industries: Enhancing fairness, security, and transparency through Blockchain and Federated Learning
by: Pham, T. Q. D., et al.
Published: (2025)
by: Pham, T. Q. D., et al.
Published: (2025)
Implications of Artificial Intelligence on Health Data Privacy and Confidentiality
by: Momani, Ahmad
Published: (2025)
by: Momani, Ahmad
Published: (2025)
AI and Identity
by: Tadimalla, Sri Yash, et al.
Published: (2024)
by: Tadimalla, Sri Yash, et al.
Published: (2024)
Born With a Silver Spoon? Investigating Socioeconomic Bias in Large Language Models
by: Singh, Smriti, et al.
Published: (2024)
by: Singh, Smriti, et al.
Published: (2024)
Mental Health Equity in LLMs: Leveraging Multi-Hop Question Answering to Detect Amplified and Silenced Perspectives
by: Haider, Batool, et al.
Published: (2025)
by: Haider, Batool, et al.
Published: (2025)
Covert Surveillance in Smart Devices: A SCOUR Framework Analysis of Youth Privacy Implications
by: Shouli, Austin, et al.
Published: (2025)
by: Shouli, Austin, et al.
Published: (2025)
Generative AI in EU Law: Liability, Privacy, Intellectual Property, and Cybersecurity
by: Novelli, Claudio, et al.
Published: (2024)
by: Novelli, Claudio, et al.
Published: (2024)
AI-driven Personalized Privacy Assistants: a Systematic Literature Review
by: Morel, Victor, et al.
Published: (2025)
by: Morel, Victor, et al.
Published: (2025)
The Evolving Usage of GenAI by Computing Students
by: Hou, Irene, et al.
Published: (2024)
by: Hou, Irene, et al.
Published: (2024)
AI Delegates with a Dual Focus: Ensuring Privacy and Strategic Self-Disclosure
by: Zhang, Zhiyang, et al.
Published: (2024)
by: Zhang, Zhiyang, et al.
Published: (2024)
Developing Strategies to Increase Capacity in AI Education
by: Cowit, Noah Q., et al.
Published: (2025)
by: Cowit, Noah Q., et al.
Published: (2025)
Comprehensive AI Literacy: The Case for Centering Human Agency
by: Tadimalla, Sri Yash, et al.
Published: (2025)
by: Tadimalla, Sri Yash, et al.
Published: (2025)
Unified Prediction Model for Employability in Indian Higher Education System
by: Thakar, Pooja, et al.
Published: (2024)
by: Thakar, Pooja, et al.
Published: (2024)
Findings of the BEA 2025 Shared Task on Pedagogical Ability Assessment of AI-powered Tutors
by: Kochmar, Ekaterina, et al.
Published: (2025)
by: Kochmar, Ekaterina, et al.
Published: (2025)
Fairness in Agentic AI: A Unified Framework for Ethical and Equitable Multi-Agent System
by: Ranjan, Rajesh, et al.
Published: (2025)
by: Ranjan, Rajesh, et al.
Published: (2025)
On the Need and Applicability of Causality for Fairness: A Unified Framework for AI Auditing and Legal Analysis
by: Binkyte, Ruta, et al.
Published: (2022)
by: Binkyte, Ruta, et al.
Published: (2022)
Investigation of the Privacy Concerns in AI Systems for Young Digital Citizens: A Comparative Stakeholder Analysis
by: Campbell, Molly, et al.
Published: (2025)
by: Campbell, Molly, et al.
Published: (2025)
User Privacy and Large Language Models: An Analysis of Frontier Developers' Privacy Policies
by: King, Jennifer, et al.
Published: (2025)
by: King, Jennifer, et al.
Published: (2025)
Can We Trust AI to Govern AI? Benchmarking LLM Performance on Privacy and AI Governance Exams
by: Witherspoon, Zane, et al.
Published: (2025)
by: Witherspoon, Zane, et al.
Published: (2025)
BEACON: A Unified Behavioral-Tactical Framework for Explainable Cybercrime Analysis with Large Language Models
by: Sachdeva, Arush, et al.
Published: (2025)
by: Sachdeva, Arush, et al.
Published: (2025)
Similar Items
-
AI Governance and Accountability: An Analysis of Anthropic's Claude
by: Priyanshu, Aman, et al.
Published: (2024) -
The Silent Curriculum: How Does LLM Monoculture Shape Educational Content and Its Accessibility?
by: Priyanshu, Aman, et al.
Published: (2024) -
Decision Making with Differential Privacy under a Fairness Lens
by: Fioretto, Ferdinando, et al.
Published: (2021) -
FRACTURED-SORRY-Bench: Framework for Revealing Attacks in Conversational Turns Undermining Refusal Efficacy and Defenses over SORRY-Bench (Automated Multi-shot Jailbreaks)
by: Priyanshu, Aman, et al.
Published: (2024) -
Unifying Re-Identification, Attribute Inference, and Data Reconstruction Risks in Differential Privacy
by: Kulynych, Bogdan, et al.
Published: (2025)