:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhao, Chenxu, Qian, Wei, Chen, Aobo, Huai, Mengdi
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2508.07066
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Frequency-Calibrated Membership Inference Attacks on Medical Image Diffusion Models
by: Zhao, Xinkai, et al.
Published: (2025)

DeepFDR: A Deep Learning-based False Discovery Rate Control Method for Neuroimaging Data
by: Kim, Taehyo, et al.
Published: (2023)

ImpMIA: Leveraging Implicit Bias for Membership Inference Attack
by: Golbari, Yuval, et al.
Published: (2025)

A False Discovery Rate Control Method Using a Fully Connected Hidden Markov Random Field for Neuroimaging Data
by: Kim, Taehyo, et al.
Published: (2025)

Dual-Model Defense: Safeguarding Diffusion Models from Membership Inference Attacks through Disjoint Data Splitting
by: Tran, Bao Q., et al.
Published: (2024)

Membership Inference Attacks against Large Vision-Language Models
by: Li, Zhan, et al.
Published: (2024)

Score-based Membership Inference on Diffusion Models
by: Rao, Mingxing, et al.
Published: (2025)

A Probabilistic Fluctuation based Membership Inference Attack for Diffusion Models
by: Fu, Wenjie, et al.
Published: (2023)

Towards Black-Box Membership Inference Attack for Diffusion Models
by: Li, Jingwei, et al.
Published: (2024)

Privacy-Preserving Low-Rank Adaptation against Membership Inference Attacks for Latent Diffusion Models
by: Luo, Zihao, et al.
Published: (2024)

Synthetic Image Learning: Preserving Performance and Preventing Membership Inference Attacks
by: Lomurno, Eugenio, et al.
Published: (2024)

Exploring Fairness in Educational Data Mining in the Context of the Right to be Forgotten
by: Qian, Wei, et al.
Published: (2024)

Controlling False Positives in Image Segmentation via Conformal Prediction
by: Mossina, Luca, et al.
Published: (2025)

Improving Interpretation Faithfulness for Vision Transformers
by: Hu, Lijie, et al.
Published: (2023)

Dual-View Inference Attack: Machine Unlearning Amplifies Privacy Exposure
by: Xue, Lulu, et al.
Published: (2025)

Towards Unveiling Vulnerabilities of Large Reasoning Models in Machine Unlearning
by: Chen, Aobo, et al.
Published: (2026)

Inference Attacks Against Face Recognition Model without Classification Layers
by: Huang, Yuanqing, et al.
Published: (2024)

GRMLR: Knowledge-Enhanced Small-Data Learning for Deep-Sea Cold Seep Stage Inference
by: Zhou, Chenxu, et al.
Published: (2026)

Learning from True-False Labels via Multi-modal Prompt Retrieving
by: Li, Zhongnian, et al.
Published: (2024)

Rate-In: Information-Driven Adaptive Dropout Rates for Improved Inference-Time Uncertainty Estimation
by: Zeevi, Tal, et al.
Published: (2024)

A White-Box False Positive Adversarial Attack Method on Contrastive Loss Based Offline Handwritten Signature Verification Models
by: Guo, Zhongliang, et al.
Published: (2023)

DiffMM: Efficient Method for Accurate Noisy and Sparse Trajectory Map Matching via One Step Diffusion
by: Han, Chenxu, et al.
Published: (2026)

Unsupervised 3D Keypoint Discovery with Multi-View Geometry
by: Honari, Sina, et al.
Published: (2022)

SMI: Statistical Membership Inference for Reliable Unlearned Model Auditing
by: Sun, Jialong, et al.
Published: (2026)

Automatic Discovery of Disease Subgroups by Contrasting with Healthy Controls
by: Louiset, Robin, et al.
Published: (2026)

Discovering Global False Negatives On the Fly for Self-supervised Contrastive Learning
by: Balmaseda, Vicente, et al.
Published: (2025)

Online Self-Calibration Against Hallucination in Vision-Language Models
by: Chen, Minghui, et al.
Published: (2026)

Identity-Focused Inference and Extraction Attacks on Diffusion Models
by: Vora, Jayneel, et al.
Published: (2024)

Beyond Known Clusters: Probe New Prototypes for Efficient Generalized Class Discovery
by: Wang, Ye, et al.
Published: (2024)

False Positive Sampling-based Data Augmentation for Enhanced 3D Object Detection Accuracy
by: Oh, Jiyong, et al.
Published: (2024)

MCE: Towards a General Framework for Handling Missing Modalities under Imbalanced Missing Rates
by: Zhao, Binyu, et al.
Published: (2025)

GenAI Confessions: Black-box Membership Inference for Generative Image Models
by: Bohacek, Matyas, et al.
Published: (2025)

Diffence: Fencing Membership Privacy With Diffusion Models
by: Peng, Yuefeng, et al.
Published: (2023)

Unified Control for Inference-Time Guidance of Denoising Diffusion Models
by: Goyal, Maurya, et al.
Published: (2025)

Benchmarking Transferable Adversarial Attacks
by: Jin, Zhibo, et al.
Published: (2024)

CL-MoE: Enhancing Multimodal Large Language Model with Dual Momentum Mixture-of-Experts for Continual Visual Question Answering
by: Huai, Tianyu, et al.
Published: (2025)

Data-Efficient Inference of Neural Fluid Fields via SciML Foundation Model
by: Liu, Yuqiu, et al.
Published: (2024)

DRAG: Data Reconstruction Attack using Guided Diffusion
by: Lei, Wa-Kin, et al.
Published: (2025)

TsallisPGD: Adaptive Gradient Weighting for Adversarial Attacks on Semantic Segmentation
by: Matyasko, Alexander, et al.
Published: (2026)

Sparsity Hurts: Simple Linear Adapter Can Boost Generalized Category Discovery
by: Ye, Bo, et al.
Published: (2026)