Saved in:
| Main Authors: | He, Weiyang, Chang, Chip-Hong |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2507.10162 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Model Hijacking Attack in Federated Learning
by: Li, Zheng, et al.
Published: (2024)
by: Li, Zheng, et al.
Published: (2024)
Hijack Vertical Federated Learning Models As One Party
by: Qiu, Pengyu, et al.
Published: (2022)
by: Qiu, Pengyu, et al.
Published: (2022)
CAMH: Advancing Model Hijacking Attack in Machine Learning
by: He, Xing, et al.
Published: (2024)
by: He, Xing, et al.
Published: (2024)
Adversarial Attacks Against Deep Learning-Based Radio Frequency Fingerprint Identification
by: Ma, Jie, et al.
Published: (2025)
by: Ma, Jie, et al.
Published: (2025)
Make Split, not Hijack: Preventing Feature-Space Hijacking Attacks in Split Learning
by: Khan, Tanveer, et al.
Published: (2024)
by: Khan, Tanveer, et al.
Published: (2024)
HPE: Hallucinated Positive Entanglement for Backdoor Attacks in Federated Self-Supervised Learning
by: Wang, Jiayao, et al.
Published: (2026)
by: Wang, Jiayao, et al.
Published: (2026)
IDEA: An Inverse Domain Expert Adaptation Based Active DNN IP Protection Method
by: Xu, Chaohui, et al.
Published: (2024)
by: Xu, Chaohui, et al.
Published: (2024)
ADCA: Attention-Driven Multi-Party Collusion Attack in Federated Self-Supervised Learning
by: Wang, Jiayao, et al.
Published: (2026)
by: Wang, Jiayao, et al.
Published: (2026)
Cooperative Decentralized Backdoor Attacks on Vertical Federated Learning
by: Lee, Seohyun, et al.
Published: (2025)
by: Lee, Seohyun, et al.
Published: (2025)
Inception Attacks: Immersive Hijacking in Virtual Reality Systems
by: Yang, Zhuolin, et al.
Published: (2024)
by: Yang, Zhuolin, et al.
Published: (2024)
Exploring Jamming and Hijacking Attacks for Micro Aerial Drones
by: Mekdad, Yassine, et al.
Published: (2024)
by: Mekdad, Yassine, et al.
Published: (2024)
URVFL: Undetectable Data Reconstruction Attack on Vertical Federated Learning
by: Yao, Duanyi, et al.
Published: (2024)
by: Yao, Duanyi, et al.
Published: (2024)
IPBA: Imperceptible Perturbation Backdoor Attack in Federated Self-Supervised Learning
by: Wang, Jiayao, et al.
Published: (2025)
by: Wang, Jiayao, et al.
Published: (2025)
Vera Verto: Multimodal Hijacking Attack
by: Zhang, Minxing, et al.
Published: (2024)
by: Zhang, Minxing, et al.
Published: (2024)
CHIP: Chameleon Hash-based Irreversible Passport for Robust Deep Model Ownership Verification and Active Usage Control
by: Xu, Chaohui, et al.
Published: (2025)
by: Xu, Chaohui, et al.
Published: (2025)
EmInspector: Combating Backdoor Attacks in Federated Self-Supervised Learning Through Embedding Inspection
by: Qian, Yuwen, et al.
Published: (2024)
by: Qian, Yuwen, et al.
Published: (2024)
Hijacking Attacks against Neural Networks by Analyzing Training Data
by: Ge, Yunjie, et al.
Published: (2024)
by: Ge, Yunjie, et al.
Published: (2024)
QT-PUF: Quantum Tunneling Leakage Based PUF for Implantable IoMT Devices
by: Ma, Yueqi, et al.
Published: (2026)
by: Ma, Yueqi, et al.
Published: (2026)
A Learning-Based Attack Framework to Break SOTA Poisoning Defenses in Federated Learning
by: Yang, Yuxin, et al.
Published: (2024)
by: Yang, Yuxin, et al.
Published: (2024)
UIFV: Data Reconstruction Attack in Vertical Federated Learning
by: Yang, Jirui, et al.
Published: (2024)
by: Yang, Jirui, et al.
Published: (2024)
A Unified Open-Set Framework for Scalable PUF-Based Authentication of Heterogeneous IoT Devices
by: Wang, Xin, et al.
Published: (2026)
by: Wang, Xin, et al.
Published: (2026)
Accelerating Vertical Federated Learning
by: Cai, Dongqi, et al.
Published: (2022)
by: Cai, Dongqi, et al.
Published: (2022)
DSBA: Dynamic Stealthy Backdoor Attack with Collaborative Optimization in Self-Supervised Learning
by: Wang, Jiayao, et al.
Published: (2026)
by: Wang, Jiayao, et al.
Published: (2026)
Merge Hijacking: Backdoor Attacks to Model Merging of Large Language Models
by: Yuan, Zenghui, et al.
Published: (2025)
by: Yuan, Zenghui, et al.
Published: (2025)
Distributed Backdoor Attacks on Federated Graph Learning and Certified Defenses
by: Yang, Yuxin, et al.
Published: (2024)
by: Yang, Yuxin, et al.
Published: (2024)
Blind PRNG Hijacking: An Undetectable Integrity-Preserving Attack Against LLM Watermarking
by: You, Ziyang, et al.
Published: (2026)
by: You, Ziyang, et al.
Published: (2026)
Is the Trigger Essential? A Feature-Based Triggerless Backdoor Attack in Vertical Federated Learning
by: Liu, Yige, et al.
Published: (2026)
by: Liu, Yige, et al.
Published: (2026)
KDk: A Defense Mechanism Against Label Inference Attacks in Vertical Federated Learning
by: Arazzi, Marco, et al.
Published: (2024)
by: Arazzi, Marco, et al.
Published: (2024)
HashVFL: Defending Against Data Reconstruction Attacks in Vertical Federated Learning
by: Qiu, Pengyu, et al.
Published: (2022)
by: Qiu, Pengyu, et al.
Published: (2022)
Enhancing Privacy of Spatiotemporal Federated Learning against Gradient Inversion Attacks
by: Zheng, Lele, et al.
Published: (2024)
by: Zheng, Lele, et al.
Published: (2024)
Securing Cross-Domain Internet of Drones: An RFF-PUF Allied Authenticated Key Exchange Protocol With Over-the-Air Enrollment
by: Chen, Xuanyu, et al.
Published: (2025)
by: Chen, Xuanyu, et al.
Published: (2025)
HijackRAG: Hijacking Attacks against Retrieval-Augmented Large Language Models
by: Zhang, Yucheng, et al.
Published: (2024)
by: Zhang, Yucheng, et al.
Published: (2024)
Moshi Moshi? A Model Selection Hijacking Adversarial Attack
by: Petrucci, Riccardo, et al.
Published: (2025)
by: Petrucci, Riccardo, et al.
Published: (2025)
Privacy Against Agnostic Inference Attacks in Vertical Federated Learning
by: Varasteh, Morteza
Published: (2023)
by: Varasteh, Morteza
Published: (2023)
Backdoor Attack on Vertical Federated Graph Neural Network Learning
by: Yang, Jirui, et al.
Published: (2024)
by: Yang, Jirui, et al.
Published: (2024)
VTarbel: Targeted Label Attack with Minimal Knowledge on Detector-enhanced Vertical Federated Learning
by: Tan, Juntao, et al.
Published: (2025)
by: Tan, Juntao, et al.
Published: (2025)
Revisiting Label Inference Attacks in Vertical Federated Learning: Why They Are Vulnerable and How to Defend
by: Liu, Yige, et al.
Published: (2026)
by: Liu, Yige, et al.
Published: (2026)
Federated Learning: Attacks, Defenses, Opportunities, and Challenges
by: Shirvani, Ghazaleh, et al.
Published: (2024)
by: Shirvani, Ghazaleh, et al.
Published: (2024)
How to Defend Against Large-scale Model Poisoning Attacks in Federated Learning: A Vertical Solution
by: Wang, Jinbo, et al.
Published: (2024)
by: Wang, Jinbo, et al.
Published: (2024)
EvilScreen Attack: Smart TV Hijacking via Multi-channel Remote Control Mimicry
by: Zhang, Yiwei, et al.
Published: (2022)
by: Zhang, Yiwei, et al.
Published: (2022)
Similar Items
-
Model Hijacking Attack in Federated Learning
by: Li, Zheng, et al.
Published: (2024) -
Hijack Vertical Federated Learning Models As One Party
by: Qiu, Pengyu, et al.
Published: (2022) -
CAMH: Advancing Model Hijacking Attack in Machine Learning
by: He, Xing, et al.
Published: (2024) -
Adversarial Attacks Against Deep Learning-Based Radio Frequency Fingerprint Identification
by: Ma, Jie, et al.
Published: (2025) -
Make Split, not Hijack: Preventing Feature-Space Hijacking Attacks in Split Learning
by: Khan, Tanveer, et al.
Published: (2024)