Cover Image

Model Extraction Attacks Revisited

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liang, Jiacheng, Pang, Ren, Li, Changjiang, Wang, Ting
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Your Agent Can Defend Itself against Backdoor Attacks
by: Changjiang, Li, et al.
Published: (2025)

GraphRAG under Fire
by: Liang, Jiacheng, et al.
Published: (2025)

MEA-Defender: A Robust Watermark against Model Extraction Attack
by: Lv, Peizhuo, et al.
Published: (2024)

A Systematic Study of Model Extraction Attacks on Graph Foundation Models
by: Xu, Haoyan, et al.
Published: (2025)

Efficient and Effective Model Extraction
by: Zhu, Hongyu, et al.
Published: (2024)

AutoRAN: Automated Hijacking of Safety Reasoning in Large Reasoning Models
by: Liang, Jiacheng, et al.
Published: (2025)

MIST: Defending Against Membership Inference Attacks Through Membership-Invariant Subspace Training
by: Li, Jiacheng, et al.
Published: (2023)

From Counterfactuals to Trees: Competitive Analysis of Model Extraction Attacks
by: Khouna, Awa, et al.
Published: (2025)

RASA: Routing-Aware Safety Alignment for Mixture-of-Experts Models
by: Liang, Jiacheng, et al.
Published: (2026)

Watch the Watcher! Backdoor Attacks on Security-Enhancing Diffusion Models
by: Li, Changjiang, et al.
Published: (2024)

Practicable Black-box Evasion Attacks on Link Prediction in Dynamic Graphs -- A Graph Sequential Embedding Method
by: Li, Jiate, et al.
Published: (2024)

MRMMIA: Membership Inference Attacks on Memory in Chat Agents
by: Chen, Kai, et al.
Published: (2026)

AUTOLYCUS: Exploiting Explainable AI (XAI) for Model Extraction Attacks against Interpretable Models
by: Oksuz, Abdullah Caglar, et al.
Published: (2023)

ATOM: A Framework of Detecting Query-Based Model Extraction Attacks for Graph Neural Networks
by: Cheng, Zhan, et al.
Published: (2025)

Deterministic Certification of Graph Neural Networks against Graph Poisoning Attacks with Arbitrary Perturbations
by: Li, Jiate, et al.
Published: (2025)

Cascading and Proxy Membership Inference Attacks
by: Du, Yuntao, et al.
Published: (2025)

RAPID: Retrieval Augmented Training of Differentially Private Diffusion Models
by: Jiang, Tanqiu, 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)

DivQAT: Enhancing Robustness of Quantized Convolutional Neural Networks against Model Extraction Attacks
by: Khaled, Kacem, et al.
Published: (2025)

Adversarial Attacks on Downstream Weather Forecasting Models: Application to Tropical Cyclone Trajectory Prediction
by: Deng, Yue, et al.
Published: (2025)

FDINet: Protecting against DNN Model Extraction via Feature Distortion Index
by: Yao, Hongwei, et al.
Published: (2023)

Revisiting the LiRA Membership Inference Attack Under Realistic Assumptions
by: Jebreel, Najeeb, et al.
Published: (2026)

Hijack Vertical Federated Learning Models As One Party
by: Qiu, Pengyu, et al.
Published: (2022)

A Survey on Model Extraction Attacks and Defenses for Large Language Models
by: Zhao, Kaixiang, et al.
Published: (2025)

FABLE: A Localized, Targeted Adversarial Attack on Weather Forecasting Models
by: Deng, Yue, et al.
Published: (2025)

Revisiting Edge Perturbation for Graph Neural Network in Graph Data Augmentation and Attack
by: Liu, Xin, et al.
Published: (2024)

Revisiting Gradient Pruning: A Dual Realization for Defending against Gradient Attacks
by: Xue, Lulu, et al.
Published: (2024)

Revisiting Backdoor Attacks on Time Series Classification in the Frequency Domain
by: Huang, Yuanmin, et al.
Published: (2025)

A Survey of Model Extraction Attacks and Defenses in Distributed Computing Environments
by: Zhao, Kaixiang, et al.
Published: (2025)

RobustKV: Defending Large Language Models against Jailbreak Attacks via KV Eviction
by: Jiang, Tanqiu, et al.
Published: (2024)

Watermark under Fire: A Robustness Evaluation of LLM Watermarking
by: Liang, Jiacheng, et al.
Published: (2024)

Revisiting the Robustness of Watermarking to Paraphrasing Attacks
by: Rastogi, Saksham, et al.
Published: (2024)

A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives
by: Zhao, Kaixiang, et al.
Published: (2025)

Hard-Label Cryptanalytic Extraction of Neural Network Models
by: Chen, Yi, et al.
Published: (2024)

Poison with Style: A Practical Poisoning Attack on Code Large Language Models
by: Tran, Khang, et al.
Published: (2026)

Backdoor Attacks on Discrete Graph Diffusion Models
by: Wang, Jiawen, et al.
Published: (2025)

Model Hijacking Attack in Federated Learning
by: Li, Zheng, et al.
Published: (2024)

Rethinking PGD Attack: Is Sign Function Necessary?
by: Yang, Junjie, et al.
Published: (2023)

MARAGE: Transferable Multi-Model Adversarial Attack for Retrieval-Augmented Generation Data Extraction
by: Hu, Xiao, et al.
Published: (2025)

DMRL: Data- and Model-aware Reward Learning for Data Extraction
by: Wang, Zhiqiang, et al.
Published: (2025)