Cover Image

Pulling Back the Curtain: Unsupervised Adversarial Detection via Contrastive Auxiliary Networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mizrahi, Eylon, Lapid, Raz, Sipper, Moshe
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Patch of Invisibility: Naturalistic Physical Black-Box Adversarial Attacks on Object Detectors
by: Lapid, Raz, et al.
Published: (2023)

On the Robustness of Kolmogorov-Arnold Networks: An Adversarial Perspective
by: Alter, Tal, et al.
Published: (2024)

Fortify the Guardian, Not the Treasure: Resilient Adversarial Detectors
by: Lapid, Raz, et al.
Published: (2024)

XAI-Based Detection of Adversarial Attacks on Deepfake Detectors
by: Pinhasov, Ben, et al.
Published: (2024)

Open Sesame! Universal Black Box Jailbreaking of Large Language Models
by: Lapid, Raz, et al.
Published: (2023)

Pulling Back the Curtain on Deep Networks
by: Satkiewicz, Maciej, et al.
Published: (2025)

Backdoors in Conditional Diffusion: Threats to Responsible Synthetic Data Pipelines
by: Lapid, Raz, et al.
Published: (2025)

On the Robustness of Diffusion-Based Image Compression to Bit-Flip Errors
by: Vaisman, Amit, et al.
Published: (2026)

Don't Lag, RAG: Training-Free Adversarial Detection Using RAG
by: Kazoom, Roie, et al.
Published: (2025)

Cycle Contrastive Adversarial Learning for Unsupervised image Deraining
by: Zhao, Chen, et al.
Published: (2024)

Enhancing Tracking Robustness with Auxiliary Adversarial Defense Networks
by: Wu, Zhewei, et al.
Published: (2024)

Contrastive Learning through Auxiliary Branch for Video Object Detection
by: Rakotoarivony, Lucas
Published: (2025)

Breaking Audio Large Language Models by Attacking Only the Encoder: A Universal Targeted Latent-Space Audio Attack
by: Ziv, Roee, et al.
Published: (2025)

Unsupervised Industrial Anomaly Detection via Pattern Generative and Contrastive Networks
by: Huang, Jianfeng, et al.
Published: (2022)

Enhancing Object Detection Robustness: Detecting and Restoring Confidence in the Presence of Adversarial Patch Attacks
by: Kazoom, Roie, et al.
Published: (2024)

Contrastive Adversarial Training for Unsupervised Domain Adaptation
by: Chen, Jiahong, et al.
Published: (2024)

Unsupervised Domain Adaptive Lane Detection via Contextual Contrast and Aggregation
by: Zhou, Kunyang, et al.
Published: (2024)

Contrastive Learning with Auxiliary User Detection for Identifying Activities
by: Ge, Wen, et al.
Published: (2024)

Rethinking Image Forgery Detection via Soft Contrastive Learning and Unsupervised Clustering
by: Wu, Haiwei, et al.
Published: (2023)

A Pairwise DomMix Attentive Adversarial Network for Unsupervised Domain Adaptive Object Detection
by: Shao, Jie, et al.
Published: (2024)

Adversarial Attacked Teacher for Unsupervised Domain Adaptive Object Detection
by: Wang, Kaiwen, et al.
Published: (2024)

Self-Paced Collaborative and Adversarial Network for Unsupervised Domain Adaptation
by: Zhang, Weichen, et al.
Published: (2025)

Contrast-Phys: Unsupervised Video-based Remote Physiological Measurement via Spatiotemporal Contrast
by: Sun, Zhaodong, et al.
Published: (2022)

Peeking Behind the Curtains of Residual Learning
by: Zhang, Tunhou, et al.
Published: (2024)

Scale-Aware Contrastive Reverse Distillation for Unsupervised Medical Anomaly Detection
by: Li, Chunlei, et al.
Published: (2025)

Temporal Vegetation Index-Based Unsupervised Crop Stress Detection via Eigenvector-Guided Contrastive Learning
by: Ahmad, Shafqaat
Published: (2025)

AdvQDet: Detecting Query-Based Adversarial Attacks with Adversarial Contrastive Prompt Tuning
by: Wang, Xin, et al.
Published: (2024)

VIBE: Can a VLM Read the Room?
by: Chakraborty, Tania, et al.
Published: (2025)

Online Unsupervised Video Object Segmentation via Contrastive Motion Clustering
by: Xi, Lin, et al.
Published: (2023)

Contrast-Phys+: Unsupervised and Weakly-supervised Video-based Remote Physiological Measurement via Spatiotemporal Contrast
by: Sun, Zhaodong, et al.
Published: (2023)

Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt
by: Liu, Jiaqi, et al.
Published: (2024)

STAL3D: Unsupervised Domain Adaptation for 3D Object Detection via Collaborating Self-Training and Adversarial Learning
by: Zhang, Yanan, et al.
Published: (2024)

Contrastive Bi-Projector for Unsupervised Domain Adaption
by: Huang, Lin-Chieh, et al.
Published: (2023)

RT-DATR: Real-time Unsupervised Domain Adaptive Detection Transformer with Adversarial Feature Alignment
by: Lv, Feng, et al.
Published: (2025)

Momentum Auxiliary Network for Supervised Local Learning
by: Su, Junhao, et al.
Published: (2024)

Unsupervised 3D Point Cloud Completion via Multi-view Adversarial Learning
by: Wu, Lintai, et al.
Published: (2024)

Segmenting Low-Contrast XCTs of Concretes: An Unsupervised Approach
by: Das, Kaustav, et al.
Published: (2026)

HEAP: Unsupervised Object Discovery and Localization with Contrastive Grouping
by: Zhang, Xin, et al.
Published: (2023)

Adversarially Masked Video Consistency for Unsupervised Domain Adaptation
by: Zhu, Xiaoyu, et al.
Published: (2024)

Rethinking Unsupervised Outlier Detection via Multiple Thresholding
by: Liu, Zhonghang, et al.
Published: (2024)