Cover Image

Hiding-in-Plain-Sight (HiPS) Attack on CLIP for Targetted Object Removal from Images

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Daw, Arka, Chung, Megan Hong-Thanh, Mahbub, Maria, Sadovnik, Amir
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence 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

AI-generated Image Detection: Passive or Watermark?
by: Guo, Moyang, et al.
Published: (2024)

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection
by: Zhu, Delong, et al.
Published: (2024)

Hate in Plain Sight: On the Risks of Moderating AI-Generated Hateful Illusions
by: Qu, Yiting, et al.
Published: (2025)

Hiding in Plain Sight: Disguising Data Stealing Attacks in Federated Learning
by: Garov, Kostadin, et al.
Published: (2023)

Hiding in Plain Sight: Detectability-Aware Antidistillation of Reasoning Models
by: Hartman, Max, et al.
Published: (2026)

Hide in Plain Sight: Clean-Label Backdoor for Auditing Membership Inference
by: Chen, Depeng, et al.
Published: (2024)

Honeyfile Camouflage: Hiding Fake Files in Plain Sight
by: Timmer, Roelien C., et al.
Published: (2024)

Hiding in Plain Sight: A Steganographic Approach to Stealthy LLM Jailbreaks
by: Geng, Jianing, et al.
Published: (2025)

Semantic Deep Hiding for Robust Unlearnable Examples
by: Meng, Ruohan, et al.
Published: (2024)

AnywhereDoor: Multi-Target Backdoor Attacks on Object Detection
by: Lu, Jialin, et al.
Published: (2024)

AnywhereDoor: Multi-Target Backdoor Attacks on Object Detection
by: Lu, Jialin, et al.
Published: (2025)

Understanding Impacts of Electromagnetic Signal Injection Attacks on Object Detection
by: Zhang, Youqian, et al.
Published: (2024)

ToxicTextCLIP: Text-Based Poisoning and Backdoor Attacks on CLIP Pre-training
by: Yao, Xin, et al.
Published: (2025)

Watermarks Attack Watermarks: Re-Watermarking as a Generic Removal Strategy
by: Bulychev, Maria, et al.
Published: (2026)

Perturb and Recover: Fine-tuning for Effective Backdoor Removal from CLIP
by: Singh, Naman Deep, et al.
Published: (2024)

Mesh Watermark Removal Attack and Mitigation: A Novel Perspective of Function Space
by: Zhu, Xingyu, et al.
Published: (2023)

Where the Devil Hides: Deepfake Detectors Can No Longer Be Trusted
by: Yuan, Shuaiwei, et al.
Published: (2025)

Hiding in Plain Sight: An IoT Traffic Camouflage Framework for Enhanced Privacy
by: Worae, Daniel Adu, et al.
Published: (2025)

Enhancing Adversarial Attacks: The Similar Target Method
by: Zhang, Shuo, et al.
Published: (2023)

Unveiling Hidden Visual Information: A Reconstruction Attack Against Adversarial Visual Information Hiding
by: Jang, Jonggyu, et al.
Published: (2024)

BadDet+: Robust Backdoor Attacks for Object Detection
by: Dunnett, Kealan, et al.
Published: (2026)

Hiding Your Signals: A Security Analysis of PPG-based Biometric Authentication
by: Li, Lin, et al.
Published: (2022)

Multi-Target Federated Backdoor Attack Based on Feature Aggregation
by: Hao, Lingguag, et al.
Published: (2025)

CLIP-Flow: A Universal Discriminator for AI-Generated Images Inspired by Anomaly Detection
by: Yuan, Zhipeng, et al.
Published: (2025)

AdvART: Adversarial Art for Camouflaged Object Detection Attacks
by: Guesmi, Amira, et al.
Published: (2023)

DeeCLIP: A Robust and Generalizable Transformer-Based Framework for Detecting AI-Generated Images
by: Keita, Mamadou, et al.
Published: (2025)

Poisoning-based Backdoor Attacks for Arbitrary Target Label with Positive Triggers
by: Huang, Binxiao, et al.
Published: (2024)

Stable Signature is Unstable: Removing Image Watermark from Diffusion Models
by: Hu, Yuepeng, et al.
Published: (2024)

Better Safe than Sorry: Pre-training CLIP against Targeted Data Poisoning and Backdoor Attacks
by: Yang, Wenhan, et al.
Published: (2023)

Backdooring CLIP through Concept Confusion
by: Hu, Lijie, et al.
Published: (2025)

Bounding-box Watermarking: Defense against Model Extraction Attacks on Object Detectors
by: Koda, Satoru, et al.
Published: (2024)

Fusion is Not Enough: Single Modal Attacks on Fusion Models for 3D Object Detection
by: Cheng, Zhiyuan, et al.
Published: (2023)

MVPatch: More Vivid Patch for Adversarial Camouflaged Attacks on Object Detectors in the Physical World
by: Zhou, Zheng, et al.
Published: (2023)

Restoring Gaussian Blurred Face Images for Deanonymization Attacks
by: Zhai, Haoyu, et al.
Published: (2025)

Membership Inference Attack Against Masked Image Modeling
by: Li, Zheng, et al.
Published: (2024)

Hiding in Plain Sight: Reframing Hardware Trojan Benchmarking as a Hide&Seek Modification
by: Sarihi, Amin, et al.
Published: (2024)

Everywhere Attack: Attacking Locally and Globally to Boost Targeted Transferability
by: Zeng, Hui, et al.
Published: (2025)

CIS-BA: Continuous Interaction Space Based Backdoor Attack for Object Detection in the Real-World
by: Zhao, Shuxin, et al.
Published: (2025)

Vulnerabilities in AI-generated Image Detection: The Challenge of Adversarial Attacks
by: Diao, Yunfeng, et al.
Published: (2024)

Stego Battlefield: Evaluating Image Steganography Attacks and Steganalysis Defenses
by: Sun, Zhen, et al.
Published: (2026)