Cover Image

VoxGuard: Evaluating User and Attribute Privacy in Speech via Membership Inference Attacks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tsaprazlis, Efthymios, Lertpetchpun, Thanathai, Feng, Tiantian, Karimireddy, Sai Praneeth, Narayanan, Shrikanth
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Rethinking Visual Privacy: A Compositional Privacy Risk Framework for Severity Assessment with VLMs
by: Tsaprazlis, Efthymios, et al.
Published: (2026)

Developing a High-performance Framework for Speech Emotion Recognition in Naturalistic Conditions Challenge for Emotional Attribute Prediction
by: Lertpetchpun, Thanathai, et al.
Published: (2025)

Collaborative Heterogeneous Causal Inference Beyond Meta-analysis
by: Guo, Tianyu, et al.
Published: (2024)

A Differentially Private Kaplan-Meier Estimator for Privacy-Preserving Survival Analysis
by: Veeraragavan, Narasimha Raghavan, et al.
Published: (2024)

LIA: Privacy-Preserving Data Quality Evaluation in Federated Learning Using a Lazy Influence Approximation
by: Rokvic, Ljubomir, et al.
Published: (2022)

Developing a Top-tier Framework in Naturalistic Conditions Challenge for Categorized Emotion Prediction: From Speech Foundation Models and Learning Objective to Data Augmentation and Engineering Choices
by: Feng, Tiantian, et al.
Published: (2025)

Bayes-Nash Generative Privacy Against Membership Inference Attacks
by: Zhang, Tao, et al.
Published: (2024)

Privacy Leaks by Adversaries: Adversarial Iterations for Membership Inference Attack
by: Xue, Jing, et al.
Published: (2025)

Assessing Visual Privacy Risks in Multimodal AI: A Novel Taxonomy-Grounded Evaluation of Vision-Language Models
by: Tsaprazlis, Efthymios, et al.
Published: (2025)

Membership Inference Attacks and Privacy in Topic Modeling
by: Manzonelli, Nico, et al.
Published: (2024)

Trade-offs Between Capacity and Robustness in Neural Audio Codecs for Adversarially Robust Speech Recognition
by: Prescott, Jordan, et al.
Published: (2026)

Bits for Privacy: Evaluating Post-Training Quantization via Membership Inference
by: Zhang, Chenxiang, et al.
Published: (2025)

Evaluating the Defense Potential of Machine Unlearning against Membership Inference Attacks
by: Tsiolakis, Theodoros, et al.
Published: (2025)

A Critical Review on the Effectiveness and Privacy Threats of Membership Inference Attacks
by: Jebreel, Najeeb, et al.
Published: (2026)

BudgetLeak: Membership Inference Attacks on RAG Systems via the Generation Budget Side Channel
by: Li, Hao, et al.
Published: (2025)

Ensemble Privacy Defense for Knowledge-Intensive LLMs against Membership Inference Attacks
by: Fu, Haowei, et al.
Published: (2025)

Imitative Membership Inference Attack
by: Du, Yuntao, et al.
Published: (2025)

Membership Reference Attack against Laplace Mechanism of Differential Privacy
by: Huang, Wen
Published: (2024)

Membership Inference Attacks on Vision-Language-Action Models
by: Peng, Yuefeng, et al.
Published: (2026)

When Reasoning Leaks Membership: Membership Inference Attack on Black-box Large Reasoning Models
by: Hu, Ruihan, et al.
Published: (2026)

Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss
by: Liu, Zhenlong, et al.
Published: (2024)

Membership Inference Attacks on Sequence Models
by: Rossi, Lorenzo, et al.
Published: (2025)

Membership Inference Attacks for Unseen Classes
by: Thaker, Pratiksha, et al.
Published: (2025)

Membership Inference Attacks Beyond Overfitting
by: Khalil, Mona, et al.
Published: (2025)

Cascading and Proxy Membership Inference Attacks
by: Du, Yuntao, et al.
Published: (2025)

White-box Membership Inference Attacks against Diffusion Models
by: Pang, Yan, et al.
Published: (2023)

Membership Inference Attacks and Defenses in Federated Learning: A Survey
by: Bai, Li, et al.
Published: (2024)

Membership Inference Attacks Against Video Large Language Models
by: Song, Wei, et al.
Published: (2026)

When Fairness Meets Privacy: Exploring Privacy Threats in Fair Binary Classifiers via Membership Inference Attacks
by: Tian, Huan, et al.
Published: (2023)

The Sample Complexity of Membership Inference and Privacy Auditing
by: Haghifam, Mahdi, et al.
Published: (2025)

Neighborhood Blending: A Lightweight Inference-Time Defense Against Membership Inference Attacks
by: Zafar, Osama, et al.
Published: (2026)

SeqMIA: Sequential-Metric Based Membership Inference Attack
by: Li, Hao, et al.
Published: (2024)

Practical Bayes-Optimal Membership Inference Attacks
by: Lassila, Marcus, et al.
Published: (2025)

Membership Inference Attacks Against In-Context Learning
by: Wen, Rui, et al.
Published: (2024)

Pop Quiz Attack: Black-box Membership Inference Attacks Against Large Language Models
by: Chen, Zeyuan, et al.
Published: (2026)

Revisiting Privacy Leakage in Machine Unlearning: Membership Inference Beyond the Forgotten Set
by: Fu, Jie, et al.
Published: (2026)

Accuracy-Privacy Trade-off in the Mitigation of Membership Inference Attack in Federated Learning
by: Ahamed, Sayyed Farid, et al.
Published: (2024)

Sequential Membership Inference Attacks
by: Michel, Thomas, et al.
Published: (2026)

Inf2Guard: An Information-Theoretic Framework for Learning Privacy-Preserving Representations against Inference Attacks
by: Noorbakhsh, Sayedeh Leila, et al.
Published: (2024)

Five Queries Are Enough: Query-Efficient and Surrogate-Free Membership Inference Attacks on RAG via Entailment
by: Nguyen, Nguyen Linh Bao, et al.
Published: (2026)