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Invisible Black-Box Backdoor Attack against Deep Cross-Modal Hashing Retrieval

https://doi.org/10.1145/3650205
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-00470-5_13openalex-snapshot
Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks
inferredcites →https://doi.org/10.1007/978-3-030-58452-8_36openalex-snapshot
Targeted Attack for Deep Hashing Based Retrieval
inferredcites →https://doi.org/10.1007/978-3-031-26431-3openalex-snapshot
Image and Video Technology
inferredcites →https://doi.org/10.1007/978-3-031-34048-2_36openalex-snapshot
X-TRA: Improving Chest X-ray Tasks with Cross-Modal Retrieval Augmentation
inferredcites →https://doi.org/10.1007/978-3-319-10602-1_48openalex-snapshot
Microsoft COCO: Common Objects in Context
inferredcites →https://doi.org/10.1007/s11280-021-00881-8openalex-snapshot
Deep medical cross-modal attention hashing
inferredcites →https://doi.org/10.1016/j.cosrev.2020.100336openalex-snapshot
Comparative analysis on cross-modal information retrieval: A review
inferredcites →https://doi.org/10.1109/cvpr.1993openalex-snapshot
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
inferredcites →https://doi.org/10.1109/cvpr.2014.267openalex-snapshot
Collective Matrix Factorization Hashing for Multimodal Data
inferredcites →https://doi.org/10.1109/cvpr.2017.348openalex-snapshot
Deep Cross-Modal Hashing
inferredcites →https://doi.org/10.1109/cvpr.2019.00723openalex-snapshot
Feature Space Perturbations Yield More Transferable Adversarial Examples
inferredcites →https://doi.org/10.1109/cvpr46437.2021.00197openalex-snapshot
You See What I Want You to See: Exploring Targeted Black-Box Transferability Attack for Hash-based Image Retrieval Systems
inferredcites →https://doi.org/10.1109/cvpr46437.2021.01609openalex-snapshot
Prototype-supervised Adversarial Network for Targeted Attack of Deep Hashing
inferredcites →https://doi.org/10.1109/iccv.1995.466933openalex-snapshot
Proceedings of IEEE International Conference on Computer Vision
inferredcites →https://doi.org/10.1109/iccv.2019.00312openalex-snapshot
Deep Joint-Semantics Reconstructing Hashing for Large-Scale Unsupervised Cross-Modal Retrieval
inferredcites →https://doi.org/10.1109/secpri.2002openalex-snapshot
Proceedings 2002 IEEE Symposium on Security and Privacy
inferredcites →https://doi.org/10.1109/sp.2019.00031openalex-snapshot
Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks
inferredcites →https://doi.org/10.1109/tcsvt.2023.3263054openalex-snapshot
Targeted Adversarial Attack Against Deep Cross-Modal Hashing Retrieval
inferredcites →https://doi.org/10.1109/tcyb.2018.2882908openalex-snapshot
Adversarial Examples for Hamming Space Search
inferredcites →https://doi.org/10.1109/tdsc.2022.3194642openalex-snapshot
Can We Mitigate Backdoor Attack Using Adversarial Detection Methods?
inferredcites →https://doi.org/10.1109/tip.2020.2963957openalex-snapshot
Multi-Task Consistency-Preserving Adversarial Hashing for Cross-Modal Retrieval
inferredcites →https://doi.org/10.1109/tkde.2023.3282921openalex-snapshot
Multi-Modal Hashing for Efficient Multimedia Retrieval: A Survey
inferredcites →https://doi.org/10.1109/tmm.2021.3053766openalex-snapshot
Aggregation-Based Graph Convolutional Hashing for Unsupervised Cross-Modal Retrieval
inferredcites →https://doi.org/10.1109/tnnls.2022.3182979openalex-snapshot
Backdoor Learning: A Survey
inferredcites →https://doi.org/10.1109/tpami.2013.142openalex-snapshot
On the Role of Correlation and Abstraction in Cross-Modal Multimedia Retrieval
inferredcites →https://doi.org/10.1145/1128817.1128824openalex-snapshot
Can machine learning be secure?
inferredcites →https://doi.org/10.1145/1460096.1460104openalex-snapshot
The MIR flickr retrieval evaluation
inferredcites →https://doi.org/10.1145/1646396.1646452openalex-snapshot
NUS-WIDE
inferredcites →https://doi.org/10.1145/2502081.2502107openalex-snapshot
Linear cross-modal hashing for efficient multimedia search
inferredcites →https://doi.org/10.1145/3372278.3390711openalex-snapshot
Deep Adversarial Discrete Hashing for Cross-Modal Retrieval
inferredcites →https://doi.org/10.1145/3389547openalex-snapshot
Robust Unsupervised Cross-modal Hashing for Multimedia Retrieval
inferredcites →https://doi.org/10.1145/3394486.3403064openalex-snapshot
An Embarrassingly Simple Approach for Trojan Attack in Deep Neural Networks
inferredcites →https://doi.org/10.1145/3427228.3427264openalex-snapshot
Februus: Input Purification Defense Against Trojan Attacks on Deep Neural Network Systems
inferredcites →https://doi.org/10.1145/3503161.3548391openalex-snapshot
Semantic Structure Enhanced Contrastive Adversarial Hash Network for Cross-media Representation Learning
inferredcites →https://doi.org/10.1145/3545799openalex-snapshot
Proactive Privacy-preserving Learning for Cross-modal Retrieval
inferredcites →https://doi.org/10.1145/3559758openalex-snapshot
Efficient Query-based Black-box Attack against Cross-modal Hashing Retrieval
inferredcites →https://doi.org/10.1145/3567420openalex-snapshot
Poisoning GNN-based Recommender Systems with Generative Surrogate-based Attacks
inferredcites →https://doi.org/10.1145/3576923openalex-snapshot
PRADA: Practical Black-box Adversarial Attacks against Neural Ranking Models
inferredcites →https://doi.org/10.3929/ethz-b-000460348openalex-snapshot
Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks
inferredcites →https://doi.org/10.52202/068431-0766openalex-snapshot
BackdoorBench: A Comprehensive Benchmark of Backdoor Learning
inferredcites →https://doi.org/10.5244/c.28.6openalex-snapshot
Return of the Devil in the Details: Delving Deep into Convolutional Nets

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1109/jproc.2024.3525147openalex-snapshot
Cross-Modal Retrieval: A Systematic Review of Methods and Future Directions
inferred← citeshttps://doi.org/10.1109/ojvt.2025.3550411openalex-snapshot
Exploring Graph Neural Backdoors in Vehicular Networks: Fundamentals, Methodologies, Applications, and Future Perspectives
inferred← citeshttps://doi.org/10.1109/tcsvt.2025.3529583openalex-snapshot
Revealing Security Flaws in Cross-Modal Retrieval Models Through Video Poisoning
inferred← citeshttps://doi.org/10.1109/tifs.2025.3593813openalex-snapshot
DarkHash: A Data-Free Backdoor Attack Against Deep Hashing
inferred← citeshttps://doi.org/10.1109/tifs.2026.3714145openalex-snapshot
HashRuler: Lightweight Detection of Anomalous Hash Codes for Backdoor Defense
inferred← citeshttps://doi.org/10.1109/tip.2025.3607626openalex-snapshot
Prospective Layout-Guided Multi-Modal Online Hashing
inferred← citeshttps://doi.org/10.1109/tip.2026.3658223openalex-snapshot
MDA-MAA: A Collaborative Augmentation Approach for Generalizing Cross-Domain Retrieval
inferred← citeshttps://doi.org/10.1109/tip.2026.3666796openalex-snapshot
A Unified Framework for Backdoor Trigger Segmentation
inferred← citeshttps://doi.org/10.1109/tkde.2026.3709786openalex-snapshot
Data-Centric Challenges, Techniques, and Impacts: A Survey on Image Data Perturbation
inferred← citeshttps://doi.org/10.1109/tmm.2025.3543094openalex-snapshot
Multiple Adaptation Network for Multi-Source and Multi-Target Domain Adaptation
inferred← citeshttps://doi.org/10.1109/tpami.2025.3546334openalex-snapshot
Attack as Defense: Proactive Adversarial Multi-Modal Learning to Evade Retrieval
inferred← citeshttps://doi.org/10.1145/3717833openalex-snapshot
ARTS: A General and Efficient Multi-Task Self-Prompt Framework for Explainable Sequential Recommendation
inferred← citeshttps://doi.org/10.1145/3746027.3755177openalex-snapshot
Cross-Model Watermarking via Discriminative Samples for Secure Authentication
inferred← citeshttps://doi.org/10.1145/3749983openalex-snapshot
Deep Hashing with Semantic Hash Centers for Image Retrieval
inferred← citeshttps://doi.org/10.3390/math12203181openalex-snapshot
Revamping Image-Recipe Cross-Modal Retrieval with Dual Cross Attention Encoders
inferred← citeshttps://doi.org/10.36227/techrxiv.175037432.26316641/v1openalex-snapshot
A Survey on Image Data Perturbations: Challenges, Techniques, and Impacts
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