Imagen de Portada

"We are not Future-ready": Understanding AI Privacy Risks and Existing Mitigation Strategies from the Perspective of AI Developers in Europe

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Klymenko, Alexandra, Meisenbacher, Stephen, Kelley, Patrick Gage, Peddinti, Sai Teja, Thomas, Kurt, Matthes, Florian
Formato:	Preprint
Publicado:	2025
Materias:	Human-Computer Interaction Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Privacy Risks of General-Purpose AI Systems: A Foundation for Investigating Practitioner Perspectives
por: Meisenbacher, Stephen, et al.
Publicado: (2024)

LLM-as-a-Judge for Privacy Evaluation? Exploring the Alignment of Human and LLM Perceptions of Privacy in Textual Data
por: Meisenbacher, Stephen, et al.
Publicado: (2025)

SoK: Privacy Risks and Mitigations in Retrieval-Augmented Generation Systems
por: Bodea, Andreea-Elena, et al.
Publicado: (2026)

Privacy Starts with UI: Privacy Patterns and Designer Perspectives in UI/UX Practice
por: Maloku, Anxhela, et al.
Publicado: (2026)

The Double-edged Sword of LLM-based Data Reconstruction: Understanding and Mitigating Contextual Vulnerability in Word-level Differential Privacy Text Sanitization
por: Meisenbacher, Stephen, et al.
Publicado: (2025)

A Comparative Analysis of Word-Level Metric Differential Privacy: Benchmarking The Privacy-Utility Trade-off
por: Meisenbacher, Stephen, et al.
Publicado: (2024)

Investigating User Perspectives on Differentially Private Text Privatization
por: Meisenbacher, Stephen, et al.
Publicado: (2025)

Towards A Structured Overview of Use Cases for Natural Language Processing in the Legal Domain: A German Perspective
por: Vladika, Juraj, et al.
Publicado: (2024)

With Privacy, Size Matters: On the Importance of Dataset Size in Differentially Private Text Rewriting
por: Meisenbacher, Stephen, et al.
Publicado: (2025)

Thinking Outside of the Differential Privacy Box: A Case Study in Text Privatization with Language Model Prompting
por: Meisenbacher, Stephen, et al.
Publicado: (2024)

Just Rewrite It Again: A Post-Processing Method for Enhanced Semantic Similarity and Privacy Preservation of Differentially Private Rewritten Text
por: Meisenbacher, Stephen, et al.
Publicado: (2024)

Understanding Help Seeking for Digital Privacy, Safety, and Security
por: Thomas, Kurt, et al.
Publicado: (2026)

Leveraging Semantic Triples for Private Document Generation with Local Differential Privacy Guarantees
por: Meisenbacher, Stephen, et al.
Publicado: (2025)

A Collocation-based Method for Addressing Challenges in Word-level Metric Differential Privacy
por: Meisenbacher, Stephen, et al.
Publicado: (2024)

1-Diffractor: Efficient and Utility-Preserving Text Obfuscation Leveraging Word-Level Metric Differential Privacy
por: Meisenbacher, Stephen, et al.
Publicado: (2024)

Spend Your Budget Wisely: Towards an Intelligent Distribution of the Privacy Budget in Differentially Private Text Rewriting
por: Meisenbacher, Stephen, et al.
Publicado: (2025)

A Systematic Exploration of Text Decomposition and Budget Distribution in Differentially Private Text Obfuscation
por: Meisenbacher, Stephen, et al.
Publicado: (2026)

Lexical Substitution is not Synonym Substitution: On the Importance of Producing Contextually Relevant Word Substitutes
por: Vladika, Juraj, et al.
Publicado: (2025)

On the Impact of Noise in Differentially Private Text Rewriting
por: Meisenbacher, Stephen, et al.
Publicado: (2025)

When Explainability Meets Privacy: An Investigation at the Intersection of Post-hoc Explainability and Differential Privacy in the Context of Natural Language Processing
por: Dhaini, Mahdi, et al.
Publicado: (2025)

A Case Study on the Impact of Anonymization Along the RAG Pipeline
por: Bodea, Andreea-Elena, et al.
Publicado: (2026)

What Security and Privacy Transparency Users Need from Consumer-Facing Generative AI
por: Cao, Jiaxun, et al.
Publicado: (2026)

An Improved Method for Class-specific Keyword Extraction: A Case Study in the German Business Registry
por: Meisenbacher, Stephen, et al.
Publicado: (2024)

DP-MLM: Differentially Private Text Rewriting Using Masked Language Models
por: Meisenbacher, Stephen, et al.
Publicado: (2024)

Evaluating Privacy Perceptions, Experience, and Behavior of Software Development Teams
por: Prybylo, Maxwell, et al.
Publicado: (2024)

Beyond PII: How Users Attempt to Estimate and Mitigate Implicit LLM Inference
por: Wang, Synthia, et al.
Publicado: (2025)

LLMs for Cyber Security: New Opportunities
por: Divakaran, Dinil Mon, et al.
Publicado: (2024)

LLM-Powered Analysis of IoT User Reviews: Tracking and Ranking Security and Privacy Concerns
por: Protick, Taufiq Islam, et al.
Publicado: (2026)

Automated Generation of Accurate Privacy Captions From Android Source Code Using Large Language Models
por: Jain, Vijayanta, et al.
Publicado: (2026)

How Generative AI Empowers Attackers and Defenders Across the Trust & Safety Landscape
por: Kelley, Patrick Gage, et al.
Publicado: (2025)

Building a Custom Taxonomy of AI Skills and Tasks from the Ground Up with Job Postings
por: Meisenbacher, Stephen, et al.
Publicado: (2026)

AI-Driven Cybersecurity Threats: A Survey of Emerging Risks and Defensive Strategies
por: Erukude, Sai Teja, et al.
Publicado: (2026)

We Can't Understand AI Using our Existing Vocabulary
por: Hewitt, John, et al.
Publicado: (2025)

Which Code Statements Implement Privacy Behaviors in Android Applications?
por: Su, Chia-Yi, et al.
Publicado: (2025)

THE EVOLUTION OF MEDICAL EDUCATION: FROM TRADITIONAL LEARNING TO AI-POWERED TRAINING ECOSYSTEMS
por: Sai Teja Nuka
Publicado: (2025)

Frontier AI's Impact on the Cybersecurity Landscape
por: Potter, Yujin, et al.
Publicado: (2025)

AI-assisted German Employment Contract Review: A Benchmark Dataset
por: Wardas, Oliver, et al.
Publicado: (2025)

Large Language Models for Real-World IoT Device Identification
por: Mahmood, Rameen, et al.
Publicado: (2025)

A Decade of Privacy-Relevant Android App Reviews: Large Scale Trends
por: Akgul, Omer, et al.
Publicado: (2024)

Galaxy image simplification using Generative AI
por: Erukude, Sai Teja, et al.
Publicado: (2025)