Saved in:
| Main Authors: | Liu, Yi Chen, Yu, Jiawei, Cao, Kexin, Meerza, Syed Irfan Ali, Movva, Trishika, Liu, Jian |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.29202 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
EAB-FL: Exacerbating Algorithmic Bias through Model Poisoning Attacks in Federated Learning
by: Meerza, Syed Irfan Ali, et al.
Published: (2024)
by: Meerza, Syed Irfan Ali, et al.
Published: (2024)
FedSpy-LLM: Towards Scalable and Generalizable Data Reconstruction Attacks from Gradients on LLMs
by: Meerza, Syed Irfan Ali, et al.
Published: (2026)
by: Meerza, Syed Irfan Ali, et al.
Published: (2026)
GLOCALFAIR: Jointly Improving Global and Local Group Fairness in Federated Learning
by: Meerza, Syed Irfan Ali, et al.
Published: (2024)
by: Meerza, Syed Irfan Ali, et al.
Published: (2024)
The Effects of Information Interventions and Social Interactions on the Valuations of Zinc Rice Seeds: Evidence From a Field Experiment With Rice Farmers
by: Syed Imran Ali Meerza, et al.
Published: (2025)
by: Syed Imran Ali Meerza, et al.
Published: (2025)
Membership Inference Test: Auditing Training Data in Object Classification Models
by: Mancera, Gonzalo, et al.
Published: (2026)
by: Mancera, Gonzalo, et al.
Published: (2026)
DistractMIA: Black-Box Membership Inference on Vision-Language Models via Semantic Distraction
by: Tang, Hongyi, et al.
Published: (2026)
by: Tang, Hongyi, et al.
Published: (2026)
Towards Black-Box Membership Inference Attack for Diffusion Models
by: Li, Jingwei, et al.
Published: (2024)
by: Li, Jingwei, et al.
Published: (2024)
Good News or Bad News First? The Impact of Sequential Information and Recency Bias on Consumers’ Valuations of Zinc Rice
by: Syed Imran Ali Meerza, et al.
Published: (2025)
by: Syed Imran Ali Meerza, et al.
Published: (2025)
Membership Inference Attack Against Music Diffusion Models via Generative Manifold Perturbation
by: Liu, Yuxuan, et al.
Published: (2026)
by: Liu, Yuxuan, et al.
Published: (2026)
GLiRA: Black-Box Membership Inference Attack via Knowledge Distillation
by: Galichin, Andrey V., et al.
Published: (2024)
by: Galichin, Andrey V., et al.
Published: (2024)
SMI: Statistical Membership Inference for Reliable Unlearned Model Auditing
by: Sun, Jialong, et al.
Published: (2026)
by: Sun, Jialong, et al.
Published: (2026)
Assessing the Effectiveness of Membership Inference on Generative Music
by: Chow, Kurtis, et al.
Published: (2025)
by: Chow, Kurtis, et al.
Published: (2025)
Black-Box Membership Inference Attack for LVLMs via Prior Knowledge-Calibrated Memory Probing
by: Yin, Jinhua, et al.
Published: (2025)
by: Yin, Jinhua, et al.
Published: (2025)
On the Evidentiary Limits of Membership Inference for Copyright Auditing
by: Ertan, Murat Bilgehan, et al.
Published: (2026)
by: Ertan, Murat Bilgehan, et al.
Published: (2026)
The Sample Complexity of Membership Inference and Privacy Auditing
by: Haghifam, Mahdi, et al.
Published: (2025)
by: Haghifam, Mahdi, et al.
Published: (2025)
Model Will Tell: Training Membership Inference for Diffusion Models
by: Fu, Xiaomeng, et al.
Published: (2024)
by: Fu, Xiaomeng, et al.
Published: (2024)
Reasoning Riddles: How Explainability Reveals Cognitive Limits in Vision-Language Models
by: Movva, Prahitha
Published: (2025)
by: Movva, Prahitha
Published: (2025)
Black-Box Opinion Manipulation Attacks to Retrieval-Augmented Generation of Large Language Models
by: Chen, Zhuo, et al.
Published: (2024)
by: Chen, Zhuo, et al.
Published: (2024)
Membership Inference Attacks Against Video Large Language Models
by: Song, Wei, et al.
Published: (2026)
by: Song, Wei, et al.
Published: (2026)
SMA: Who Said That? Auditing Membership Leakage in Semi-Black-box RAG Controlling
by: Sun, Shixuan, et al.
Published: (2025)
by: Sun, Shixuan, et al.
Published: (2025)
MrM: Black-Box Membership Inference Attacks against Multimodal RAG Systems
by: Yang, Peiru, et al.
Published: (2025)
by: Yang, Peiru, et al.
Published: (2025)
Hide in Plain Sight: Clean-Label Backdoor for Auditing Membership Inference
by: Chen, Depeng, et al.
Published: (2024)
by: Chen, Depeng, et al.
Published: (2024)
Auditing Data Membership in Reinforcement Learning With Verifiable Rewards
by: Liu, Yule, et al.
Published: (2025)
by: Liu, Yule, et al.
Published: (2025)
Improving Membership Inference in ASR Model Auditing with Perturbed Loss Features
by: Teixeira, Francisco, et al.
Published: (2024)
by: Teixeira, Francisco, et al.
Published: (2024)
Enhancing One-run Privacy Auditing with Quantile Regression-Based Membership Inference
by: Liu, Terrance, et al.
Published: (2025)
by: Liu, Terrance, et al.
Published: (2025)
Single-Sample Black-Box Membership Inference Attack against Vision-Language Models via Cross-modal Semantic Alignment
by: Li, Jiaqing, et al.
Published: (2026)
by: Li, Jiaqing, et al.
Published: (2026)
FlippedRAG: Black-Box Opinion Manipulation Adversarial Attacks to Retrieval-Augmented Generation Models
by: Chen, Zhuo, et al.
Published: (2025)
by: Chen, Zhuo, et al.
Published: (2025)
When Reasoning Leaks Membership: Membership Inference Attack on Black-box Large Reasoning Models
by: Hu, Ruihan, et al.
Published: (2026)
by: Hu, Ruihan, et al.
Published: (2026)
E-MIA: Exam-Style Black-Box Membership Inference Attacks against RAG Systems
by: Guan, Zelin, et al.
Published: (2026)
by: Guan, Zelin, et al.
Published: (2026)
Evaluación de la heterogeneidad y función de HDL por el laboratorio
by: Rajesh Movva
Published: (2009)
by: Rajesh Movva
Published: (2009)
On the Effectiveness of Membership Inference in Targeted Data Extraction from Large Language Models
by: Sahili, Ali Al, et al.
Published: (2025)
by: Sahili, Ali Al, et al.
Published: (2025)
General-Purpose $f$-DP Estimation and Auditing in a Black-Box Setting
by: Askin, Önder, et al.
Published: (2025)
by: Askin, Önder, et al.
Published: (2025)
Training Diffusion Language Models for Black-Box Optimization
by: Sun, Zipeng, et al.
Published: (2026)
by: Sun, Zipeng, et al.
Published: (2026)
Auditing Differential Privacy in the Black-Box Setting
by: Shi, Kaining, et al.
Published: (2025)
by: Shi, Kaining, et al.
Published: (2025)
On the Convergence of Black-Box Variational Inference
by: Kim, Kyurae, et al.
Published: (2023)
by: Kim, Kyurae, et al.
Published: (2023)
GenAI Confessions: Black-box Membership Inference for Generative Image Models
by: Bohacek, Matyas, et al.
Published: (2025)
by: Bohacek, Matyas, et al.
Published: (2025)
Generating Is Believing: Membership Inference Attacks against Retrieval-Augmented Generation
by: Li, Yuying, et al.
Published: (2024)
by: Li, Yuying, et al.
Published: (2024)
Membership Inference Attacks Cannot Prove that a Model Was Trained On Your Data
by: Zhang, Jie, et al.
Published: (2024)
by: Zhang, Jie, et al.
Published: (2024)
AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models
by: Martin, Rebecca, et al.
Published: (2025)
by: Martin, Rebecca, et al.
Published: (2025)
Bayesian Inference of Training Dataset Membership
by: Huang, Yongchao
Published: (2025)
by: Huang, Yongchao
Published: (2025)
Similar Items
-
EAB-FL: Exacerbating Algorithmic Bias through Model Poisoning Attacks in Federated Learning
by: Meerza, Syed Irfan Ali, et al.
Published: (2024) -
FedSpy-LLM: Towards Scalable and Generalizable Data Reconstruction Attacks from Gradients on LLMs
by: Meerza, Syed Irfan Ali, et al.
Published: (2026) -
GLOCALFAIR: Jointly Improving Global and Local Group Fairness in Federated Learning
by: Meerza, Syed Irfan Ali, et al.
Published: (2024) -
The Effects of Information Interventions and Social Interactions on the Valuations of Zinc Rice Seeds: Evidence From a Field Experiment With Rice Farmers
by: Syed Imran Ali Meerza, et al.
Published: (2025) -
Membership Inference Test: Auditing Training Data in Object Classification Models
by: Mancera, Gonzalo, et al.
Published: (2026)