Cover Image

MedBN: Robust Test-Time Adaptation against Malicious Test Samples

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Park, Hyejin, Hwang, Jeongyeon, Mun, Sunung, Park, Sangdon, Ok, Jungseul
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Cryptography and Security Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

LLM Watermark Evasion via Bias Inversion
by: Hwang, Jeongyeon, et al.
Published: (2025)

EPIC: Efficient Predicate-Guided Inference-Time Control for Compositional Text-to-Image Generation
by: Mun, Sunung, et al.
Published: (2026)

Addressing Text Embedding Leakage in Diffusion-based Image Editing
by: Mun, Sunung, et al.
Published: (2024)

R-TPT: Improving Adversarial Robustness of Vision-Language Models through Test-Time Prompt Tuning
by: Sheng, Lijun, et al.
Published: (2025)

Interpretability-Guided Test-Time Adversarial Defense
by: Kulkarni, Akshay, et al.
Published: (2024)

TarPro: Targeted Protection against Malicious Image Editing
by: Shen, Kaixin, et al.
Published: (2025)

Retrieval-Augmented Generation with Estimation of Source Reliability
by: Hwang, Jeongyeon, et al.
Published: (2024)

Jailbreaking the Non-Transferable Barrier via Test-Time Data Disguising
by: Xiang, Yongli, et al.
Published: (2025)

Evaluating the Evaluators: Trust in Adversarial Robustness Tests
by: Cinà, Antonio Emanuele, et al.
Published: (2025)

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

Structure Disruption: Subverting Malicious Diffusion-Based Inpainting via Self-Attention Query Perturbation
by: He, Yuhao, et al.
Published: (2025)

COMMIT: Certifying Robustness of Multi-Sensor Fusion Systems against Semantic Attacks
by: Huang, Zijian, et al.
Published: (2024)

Think Twice before Adaptation: Improving Adaptability of DeepFake Detection via Online Test-Time Adaptation
by: Nguyen-Le, Hong-Hanh, et al.
Published: (2025)

Robustness Analysis against Adversarial Patch Attacks in Fully Unmanned Stores
by: Na, Hyunsik, et al.
Published: (2025)

Closing the Gap: Achieving Better Accuracy-Robustness Tradeoffs against Query-Based Attacks
by: Zimmer, Pascal, et al.
Published: (2023)

Test-Time Attention Purification for Backdoored Large Vision Language Models
by: Zhang, Zhifang, et al.
Published: (2026)

ImageNet-Patch: A Dataset for Benchmarking Machine Learning Robustness against Adversarial Patches
by: Pintor, Maura, et al.
Published: (2022)

Survival of the Cheapest: Cost-Aware Hardware Adaptation for Adversarial Robustness
by: Meyers, Charles, et al.
Published: (2024)

VIRO: Robust and Efficient Neuro-Symbolic Reasoning with Verification for Referring Expression Comprehension
by: Park, Hyejin, et al.
Published: (2026)

DataFreeShield: Defending Adversarial Attacks without Training Data
by: Lee, Hyeyoon, et al.
Published: (2024)

Tracing Back the Malicious Clients in Poisoning Attacks to Federated Learning
by: Jia, Yuqi, et al.
Published: (2024)

Efficient Malicious UAV Detection Using Autoencoder-TSMamba Integration
by: Akhtarshenas, Azim, et al.
Published: (2025)

FedPoisonTTP: A Threat Model and Poisoning Attack for Federated Test-Time Personalization
by: Iftee, Md Akil Raihan, et al.
Published: (2025)

SAME: Sample Reconstruction against Model Extraction Attacks
by: Xie, Yi, et al.
Published: (2023)

Towards Understanding Dual BN In Hybrid Adversarial Training
by: Zhang, Chenshuang, et al.
Published: (2024)

MedBlindTuner: Towards Privacy-preserving Fine-tuning on Biomedical Images with Transformers and Fully Homomorphic Encryption
by: Panzade, Prajwal, et al.
Published: (2024)

Test-Time Backdoor Attacks on Multimodal Large Language Models
by: Lu, Dong, et al.
Published: (2024)

Detecting Malicious Concepts without Image Generation in AI-Generated Content (AIGC)
by: Xu, Kun, et al.
Published: (2025)

Differentially Private Neural Tangent Kernels for Privacy-Preserving Data Generation
by: Yang, Yilin, et al.
Published: (2023)

Adversarial Training against Location-Optimized Adversarial Patches
by: Rao, Sukrut, et al.
Published: (2020)

README: Robust Error-Aware Digital Signature Framework via Deep Watermarking Model
by: Choi, Hyunwook, et al.
Published: (2025)

Robust Image Classification: Defensive Strategies against FGSM and PGD Adversarial Attacks
by: Waghela, Hetvi, et al.
Published: (2024)

A Random Ensemble of Encrypted models for Enhancing Robustness against Adversarial Examples
by: Iijima, Ryota, et al.
Published: (2024)

Generalizable Targeted Data Poisoning against Varying Physical Objects
by: Chen, Zhizhen, et al.
Published: (2024)

CP-Guard+: A New Paradigm for Malicious Agent Detection and Defense in Collaborative Perception
by: Hu, Senkang, et al.
Published: (2025)

Towards Robust Protective Perturbation against DeepFake Face Swapping
by: Yao, Hengyang, et al.
Published: (2025)

PADetBench: Towards Benchmarking Physical Attacks against Object Detection
by: Lian, Jiawei, et al.
Published: (2024)

Defending Object Detectors against Patch Attacks with Out-of-Distribution Smoothing
by: Feng, Ryan, et al.
Published: (2022)

Bad-PFL: Exploring Backdoor Attacks against Personalized Federated Learning
by: Fan, Mingyuan, et al.
Published: (2025)

DiffusionShield: A Watermark for Copyright Protection against Generative Diffusion Models
by: Cui, Yingqian, et al.
Published: (2023)