Cover Image

Membership Inference Attacks against Large Audio Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Dong, Jia-Kai, Lin, Yu-Xiang, Lee, Hung-Yi
Format:	Preprint
Published:	2026
Subjects:	Sound Artificial Intelligence I.2.6; I.5.2; K.4.1
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Selecting for Less Discriminatory Algorithms: A Relational Search Framework for Navigating Fairness-Accuracy Trade-offs in Practice
by: Samad, Hana, et al.
Published: (2025)

Toward Individual Fairness Without Centralized Data: Selective Counterfactual Consistency for Vertical Federated Learning
by: Wasif, Dawood, et al.
Published: (2026)

Can Graph-Based Microservice Performance Detection Be Used for Microservice Intrusion Detection?
by: Ma, Yunjian
Published: (2026)

Closing the SNAP Gap: Identifying Under-Enrollment in High-Poverty ZIP Codes
by: Ray, Auyona
Published: (2025)

The Necessity of AI Audit Standards Boards
by: Manheim, David, et al.
Published: (2024)

Comparing Fairness of Generative Mobility Models
by: Wang, Daniel, et al.
Published: (2024)

AI Integrity: A New Paradigm for Verifiable AI Governance
by: Lee, Seulki
Published: (2026)

PRISM Risk Signal Framework: Hierarchy-Based Red Lines for AI Behavioral Risk
by: Lee, Seulki
Published: (2026)

Sensitivity Uncertainty Alignment in Large Language Models
by: Hiremath, Prakul Sunil, et al.
Published: (2026)

Measuring the Authority Stack of AI Systems: Empirical Analysis of 366,120 Forced-Choice Responses Across 8 AI Models
by: Lee, Seulki
Published: (2026)

Who Governs the Machine? A Machine Identity Governance Taxonomy (MIGT) for AI Systems Operating Across Enterprise and Geopolitical Boundaries
by: Kurtz, Andrew, et al.
Published: (2026)

Few-Shot Learning of a Graph-Based Neural Network Model Without Backpropagation
by: Lapin, Mykyta, et al.
Published: (2025)

Playing telephone with generative models: "verification disability," "compelled reliance," and accessibility in data visualization
by: Elavsky, Frank, et al.
Published: (2025)

AI for Accessible Education: Personalized Audio-Based Learning for Blind Students
by: Yang, Crystal, et al.
Published: (2025)

Terminal Wrench: A Dataset of 331 Reward-Hackable Environments and 3,632 Exploit Trajectories
by: Bercovich, Ivan, et al.
Published: (2026)

LACE: Exploring Turn-Taking and Parallel Interaction Modes in Human-AI Co-Creation for Iterative Image Generation
by: Huang, YenKai, et al.
Published: (2025)

Uncovering Bugs in Formal Explainers: A Case Study with PyXAI
by: Huang, Xuanxiang, et al.
Published: (2025)

ERP-RiskBench: Leakage-Safe Ensemble Learning for Financial Risk
by: Mishra, Sanjay
Published: (2026)

Privacy as Commodity: MFG-RegretNet for Large-Scale Privacy Trading in Federated Learning
by: Sun, Kangkang, et al.
Published: (2026)

LLM-FACETS: A Privacy-Preserving Framework for Evaluating LLM Transparency and Accountability
by: Lucas, Tom, et al.
Published: (2026)

CAMRI Loss: Improving Recall of a Specific Class without Sacrificing Accuracy
by: Nishiyama, Daiki, et al.
Published: (2022)

Ternary Decision Trees with Locally-Adaptive Uncertainty Zones
by: Smits, William
Published: (2026)

A Boundary-Aware Non-parametric Granular-Ball Classifier Based on Minimum Description Length
by: Xian, Zeqiang, et al.
Published: (2026)

RobustModelMaker: Coupling Bootstrap Stability Selection with Leakage-Safe Nested Cross-Validation for Scientific Machine Learning
by: Barnard, Amanda S
Published: (2026)

VoiceSHIELD-Small: Real-Time Malicious Speech Detection and Transcription
by: Ranjan, Sumit, et al.
Published: (2026)

On the Development of Binary Classification Algorithm Based on Principles of Geometry and Statistical Inference
by: Srivastava, Vatsal
Published: (2025)

LACE: Controlled Image Prompting and Iterative Refinement with GenAI for Professional Visual Art Creators
by: Huang, Yenkai, et al.
Published: (2025)

How Worrying Are Privacy Attacks Against Machine Learning?
by: Domingo-Ferrer, Josep
Published: (2025)

Not Everything That Counts Can Be Counted: A Case for Safe Qualitative AI
by: Beltoft, Stine, et al.
Published: (2025)

Human Values in a Single Sentence: Moral Presence, Hierarchies, and Transformer Ensembles on the Schwartz Continuum
by: Yeste, Víctor, et al.
Published: (2026)

REMIND: Input Loss Landscapes Reveal Residual Memorization in Post-Unlearning LLMs
by: Cohen, Liran, et al.
Published: (2025)

HybridVFL: Disentangled Feature Learning for Edge-Enabled Vertical Federated Multimodal Classification
by: Anoosha, Mostafa, et al.
Published: (2025)

Tatemae: Detecting Alignment Faking via Tool Selection in LLMs
by: Leonesi, Matteo, et al.
Published: (2026)

How Can One Choose the Best CAM-Based Explainability Method for a CNN Model?
by: Costa, Daniel da Silva, et al.
Published: (2026)

When Large Language Models are More PersuasiveThan Incentivized Humans, and Why
by: Schoenegger, Philipp, et al.
Published: (2025)

A Real-Time Diminished Reality Approach to Privacy in MR Collaboration
by: Fane, Christian
Published: (2025)

How to Count AIs: Individuation and Liability for AI Agents
by: Arbel, Yonathan, et al.
Published: (2026)

Futurity as Infrastructure: A Techno-Philosophical Interpretation of the AI Lifecycle
by: Cote, Mark, et al.
Published: (2025)

A Three Steps Methodological Approach to Legal Governance Validation
by: Casanovas, Pompeu, et al.
Published: (2024)

CURATe: Benchmarking Personalised Alignment of Conversational AI Assistants
by: Alberts, Lize, et al.
Published: (2024)