SOTAVerified

Model extraction

Model extraction attacks, aka model stealing attacks, are used to extract the parameters from the target model. Ideally, the adversary will be able to steal and replicate a model that will have a very similar performance to the target model.

Papers

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Showing 101–150 of 176 papers

TitleStatusHype
On the Difficulty of Defending Self-Supervised Learning against Model ExtractionCode0
DualCF: Efficient Model Extraction Attack from Counterfactual Explanations—0
Stealing and Evading Malware Classifiers and Antivirus at Low False Positive ConditionsCode0
Split HE: Fast Secure Inference Combining Split Learning and Homomorphic Encryption—0
On the Effectiveness of Dataset Watermarking in Adversarial SettingsCode0
Fingerprinting Deep Neural Networks Globally via Universal Adversarial Perturbations—0
Increasing the Cost of Model Extraction with Calibrated Proof of Work—0
Protecting Intellectual Property of Language Generation APIs with Lexical WatermarkCode0
Efficiently Learning One Hidden Layer ReLU Networks From Queries—0
Efficiently Learning Any One Hidden Layer ReLU Network From Queries—0
DeepSteal: Advanced Model Extractions Leveraging Efficient Weight Stealing in Memories—0
Watermarking Graph Neural Networks based on Backdoor Attacks—0
Process Extraction from Text: Benchmarking the State of the Art and Paving the Way for Future ChallengesCode0
First to Possess His Statistics: Data-Free Model Extraction Attack on Tabular Data—0
HODA: Protecting DNNs Against Model Extraction Attacks via Hardness of Samples—0
A Novel Watermarking Framework for Ownership Verification of DNN Architectures—0
NASPY: Automated Extraction of Automated Machine Learning Models—0
Was my Model Stolen? Feature Sharing for Robust and Transferable Watermarks—0
Emerging AI Security Threats for Autonomous Cars -- Case Studies—0
Black-Box Attacks on Sequential Recommenders via Data-Free Model ExtractionCode1
Student Surpasses Teacher: Imitation Attack for Black-Box NLP APIs—0
Power-Based Attacks on Spatial DNN Accelerators—0
MEGEX: Data-Free Model Extraction Attack against Gradient-Based Explainable AI—0
Stateful Detection of Model Extraction AttacksCode0
HODA: Hardness-Oriented Detection of Model Extraction Attacks—0
Model Extraction and Adversarial Attacks on Neural Networks using Switching Power Information—0
Killing One Bird with Two Stones: Model Extraction and Attribute Inference Attacks against BERT-based APIs—0
An Exact Poly-Time Membership-Queries Algorithm for Extraction a three-Layer ReLU Network—0
A Review of Confidentiality Threats Against Embedded Neural Network Models—0
Good Artists Copy, Great Artists Steal: Model Extraction Attacks Against Image Translation Models—0
Thief, Beware of What Get You There: Towards Understanding Model Extraction Attack—0
Using Python for Model Inference in Deep Learning—0
Model Extraction and Adversarial Transferability, Your BERT is Vulnerable!Code1
BODAME: Bilevel Optimization for Defense Against Model Extraction—0
Model Extraction and Defenses on Generative Adversarial Networks—0
EXPLORING VULNERABILITIES OF BERT-BASED APIS—0
Grey-box Extraction of Natural Language Models—0
MEME: Generating RNN Model Explanations via Model ExtractionCode1
Sparsity-driven Digital Terrain Model Extraction—0
Data-Free Model ExtractionCode1
A Knowledge Representation Approach to Automated Mathematical Modelling—0
Monitoring-based Differential Privacy Mechanism Against Query-Flooding Parameter Duplication Attack—0
Leveraging Extracted Model Adversaries for Improved Black Box Attacks—0
Now You See Me (CME): Concept-based Model ExtractionCode1
Model Extraction Attacks on Graph Neural Networks: Taxonomy and RealizationCode0
MEME: Generating RNN Model Explanations via Model ExtractionCode1
Model extraction from counterfactual explanationsCode0
Stealing Deep Reinforcement Learning Models for Fun and Profit—0
MARLeME: A Multi-Agent Reinforcement Learning Model Extraction LibraryCode1
Cryptanalytic Extraction of Neural Network ModelsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1three-step-originalExact Match0.17—Unverified