Privacy Risks of General-Purpose AI Systems: A Foundation for Investigating Practitioner Perspectives
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Meisenbacher, Stephen, Klymenko, Alexandra, Kelley, Patrick Gage, Peddinti, Sai Teja, Thomas, Kurt, Matthes, Florian |
|---|---|
| Format: | Preprint |
| Publié: |
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
"We are not Future-ready": Understanding AI Privacy Risks and Existing Mitigation Strategies from the Perspective of AI Developers in Europe
par: Klymenko, Alexandra, et autres
Publié: (2025)
par: Klymenko, Alexandra, et autres
Publié: (2025)
LLM-as-a-Judge for Privacy Evaluation? Exploring the Alignment of Human and LLM Perceptions of Privacy in Textual Data
par: Meisenbacher, Stephen, et autres
Publié: (2025)
par: Meisenbacher, Stephen, et autres
Publié: (2025)
SoK: Privacy Risks and Mitigations in Retrieval-Augmented Generation Systems
par: Bodea, Andreea-Elena, et autres
Publié: (2026)
par: Bodea, Andreea-Elena, et autres
Publié: (2026)
Towards A Structured Overview of Use Cases for Natural Language Processing in the Legal Domain: A German Perspective
par: Vladika, Juraj, et autres
Publié: (2024)
par: Vladika, Juraj, et autres
Publié: (2024)
Privacy Starts with UI: Privacy Patterns and Designer Perspectives in UI/UX Practice
par: Maloku, Anxhela, et autres
Publié: (2026)
par: Maloku, Anxhela, et autres
Publié: (2026)
Investigating User Perspectives on Differentially Private Text Privatization
par: Meisenbacher, Stephen, et autres
Publié: (2025)
par: Meisenbacher, Stephen, et autres
Publié: (2025)
A Comparative Analysis of Word-Level Metric Differential Privacy: Benchmarking The Privacy-Utility Trade-off
par: Meisenbacher, Stephen, et autres
Publié: (2024)
par: Meisenbacher, Stephen, et autres
Publié: (2024)
The Double-edged Sword of LLM-based Data Reconstruction: Understanding and Mitigating Contextual Vulnerability in Word-level Differential Privacy Text Sanitization
par: Meisenbacher, Stephen, et autres
Publié: (2025)
par: Meisenbacher, Stephen, et autres
Publié: (2025)
With Privacy, Size Matters: On the Importance of Dataset Size in Differentially Private Text Rewriting
par: Meisenbacher, Stephen, et autres
Publié: (2025)
par: Meisenbacher, Stephen, et autres
Publié: (2025)
Thinking Outside of the Differential Privacy Box: A Case Study in Text Privatization with Language Model Prompting
par: Meisenbacher, Stephen, et autres
Publié: (2024)
par: Meisenbacher, Stephen, et autres
Publié: (2024)
Just Rewrite It Again: A Post-Processing Method for Enhanced Semantic Similarity and Privacy Preservation of Differentially Private Rewritten Text
par: Meisenbacher, Stephen, et autres
Publié: (2024)
par: Meisenbacher, Stephen, et autres
Publié: (2024)
Leveraging Semantic Triples for Private Document Generation with Local Differential Privacy Guarantees
par: Meisenbacher, Stephen, et autres
Publié: (2025)
par: Meisenbacher, Stephen, et autres
Publié: (2025)
What Security and Privacy Transparency Users Need from Consumer-Facing Generative AI
par: Cao, Jiaxun, et autres
Publié: (2026)
par: Cao, Jiaxun, et autres
Publié: (2026)
How Generative AI Empowers Attackers and Defenders Across the Trust & Safety Landscape
par: Kelley, Patrick Gage, et autres
Publié: (2025)
par: Kelley, Patrick Gage, et autres
Publié: (2025)
A Collocation-based Method for Addressing Challenges in Word-level Metric Differential Privacy
par: Meisenbacher, Stephen, et autres
Publié: (2024)
par: Meisenbacher, Stephen, et autres
Publié: (2024)
1-Diffractor: Efficient and Utility-Preserving Text Obfuscation Leveraging Word-Level Metric Differential Privacy
par: Meisenbacher, Stephen, et autres
Publié: (2024)
par: Meisenbacher, Stephen, et autres
Publié: (2024)
When Explainability Meets Privacy: An Investigation at the Intersection of Post-hoc Explainability and Differential Privacy in the Context of Natural Language Processing
par: Dhaini, Mahdi, et autres
Publié: (2025)
par: Dhaini, Mahdi, et autres
Publié: (2025)
Spend Your Budget Wisely: Towards an Intelligent Distribution of the Privacy Budget in Differentially Private Text Rewriting
par: Meisenbacher, Stephen, et autres
Publié: (2025)
par: Meisenbacher, Stephen, et autres
Publié: (2025)
Understanding Help Seeking for Digital Privacy, Safety, and Security
par: Thomas, Kurt, et autres
Publié: (2026)
par: Thomas, Kurt, et autres
Publié: (2026)
A Taxonomy of Systemic Risks from General-Purpose AI
par: Uuk, Risto, et autres
Publié: (2024)
par: Uuk, Risto, et autres
Publié: (2024)
A Systematic Exploration of Text Decomposition and Budget Distribution in Differentially Private Text Obfuscation
par: Meisenbacher, Stephen, et autres
Publié: (2026)
par: Meisenbacher, Stephen, et autres
Publié: (2026)
Lexical Substitution is not Synonym Substitution: On the Importance of Producing Contextually Relevant Word Substitutes
par: Vladika, Juraj, et autres
Publié: (2025)
par: Vladika, Juraj, et autres
Publié: (2025)
On the Impact of Noise in Differentially Private Text Rewriting
par: Meisenbacher, Stephen, et autres
Publié: (2025)
par: Meisenbacher, Stephen, et autres
Publié: (2025)
SoK: A Framework for Unifying At-Risk User Research
par: Warford, Noel, et autres
Publié: (2021)
par: Warford, Noel, et autres
Publié: (2021)
Frontier AI's Impact on the Cybersecurity Landscape
par: Potter, Yujin, et autres
Publié: (2025)
par: Potter, Yujin, et autres
Publié: (2025)
AI Risk-Management Standards Profile for General-Purpose AI (GPAI) and Foundation Models
par: Barrett, Anthony M., et autres
Publié: (2025)
par: Barrett, Anthony M., et autres
Publié: (2025)
Effective Mitigations for Systemic Risks from General-Purpose AI
par: Uuk, Risto, et autres
Publié: (2024)
par: Uuk, Risto, et autres
Publié: (2024)
A Case Study on the Impact of Anonymization Along the RAG Pipeline
par: Bodea, Andreea-Elena, et autres
Publié: (2026)
par: Bodea, Andreea-Elena, et autres
Publié: (2026)
Risk Sources and Risk Management Measures in Support of Standards for General-Purpose AI Systems
par: Gipiškis, Rokas, et autres
Publié: (2024)
par: Gipiškis, Rokas, et autres
Publié: (2024)
Practitioners' Perspectives on a Differential Privacy Deployment Registry
par: Nanayakkara, Priyanka, et autres
Publié: (2025)
par: Nanayakkara, Priyanka, et autres
Publié: (2025)
Extracting O*NET Features from the NLx Corpus to Build Public Use Aggregate Labor Market Data
par: Meisenbacher, Stephen, et autres
Publié: (2025)
par: Meisenbacher, Stephen, et autres
Publié: (2025)
How Knowledge Workers Think Generative AI Will (Not) Transform Their Industries
par: Woodruff, Allison, et autres
Publié: (2023)
par: Woodruff, Allison, et autres
Publié: (2023)
An Improved Method for Class-specific Keyword Extraction: A Case Study in the German Business Registry
par: Meisenbacher, Stephen, et autres
Publié: (2024)
par: Meisenbacher, Stephen, et autres
Publié: (2024)
DP-MLM: Differentially Private Text Rewriting Using Masked Language Models
par: Meisenbacher, Stephen, et autres
Publié: (2024)
par: Meisenbacher, Stephen, et autres
Publié: (2024)
Evaluating Privacy Perceptions, Experience, and Behavior of Software Development Teams
par: Prybylo, Maxwell, et autres
Publié: (2024)
par: Prybylo, Maxwell, et autres
Publié: (2024)
Automated Generation of Accurate Privacy Captions From Android Source Code Using Large Language Models
par: Jain, Vijayanta, et autres
Publié: (2026)
par: Jain, Vijayanta, et autres
Publié: (2026)
Designing Incident Reporting Systems for Harms from General-Purpose AI
par: Wei, Kevin, et autres
Publié: (2025)
par: Wei, Kevin, et autres
Publié: (2025)
The Case for ESM3 as a General-Purpose AI Model with Systemic Risk Under the EU AI Act
par: Qureshi, Taro, et autres
Publié: (2026)
par: Qureshi, Taro, et autres
Publié: (2026)
LLMs for Cyber Security: New Opportunities
par: Divakaran, Dinil Mon, et autres
Publié: (2024)
par: Divakaran, Dinil Mon, et autres
Publié: (2024)
Evaluating General-Purpose AI with Psychometrics
par: Wang, Xiting, et autres
Publié: (2023)
par: Wang, Xiting, et autres
Publié: (2023)
Documents similaires
-
"We are not Future-ready": Understanding AI Privacy Risks and Existing Mitigation Strategies from the Perspective of AI Developers in Europe
par: Klymenko, Alexandra, et autres
Publié: (2025) -
LLM-as-a-Judge for Privacy Evaluation? Exploring the Alignment of Human and LLM Perceptions of Privacy in Textual Data
par: Meisenbacher, Stephen, et autres
Publié: (2025) -
SoK: Privacy Risks and Mitigations in Retrieval-Augmented Generation Systems
par: Bodea, Andreea-Elena, et autres
Publié: (2026) -
Towards A Structured Overview of Use Cases for Natural Language Processing in the Legal Domain: A German Perspective
par: Vladika, Juraj, et autres
Publié: (2024) -
Privacy Starts with UI: Privacy Patterns and Designer Perspectives in UI/UX Practice
par: Maloku, Anxhela, et autres
Publié: (2026)