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A Fast Deep Learning Method for Security Vulnerability Study of XOR PUFs
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/11605805_1openalex-snapshot
Cache Attacks and Countermeasures: The Case of AES
inferredcites →https://doi.org/10.1007/978-1-4614-1362-2_11openalex-snapshot
A Systematic Method to Evaluate and Compare the Performance of Physical Unclonable Functions
inferredcites →https://doi.org/10.1007/978-3-319-24837-0_2openalex-snapshot
On the Scaling of Machine Learning Attacks on PUFs with Application to Noise Bifurcation
inferredcites →https://doi.org/10.1007/978-3-319-40667-1_14openalex-snapshot
Flush+Flush: A Fast and Stealthy Cache Attack
inferredcites →https://doi.org/10.1007/s11390-016-1616-8openalex-snapshot
Techniques for Design and Implementation of an FPGA-Specific Physical Unclonable Function
inferredcites →https://doi.org/10.1109/bigdata47090.2019.9006041openalex-snapshot
Examination of Double Arbiter PUFs on Security against Machine Learning Attacks
inferredcites →https://doi.org/10.1109/csac.2002.1176287openalex-snapshot
Controlled physical random functions
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/dac.2007.375043openalex-snapshot
Physical Unclonable Functions for Device Authentication and Secret Key Generation
inferredcites →https://doi.org/10.1109/desec.2017.8073844openalex-snapshot
An experimental study of the state-of-the-art PUFs implemented on FPGAs
inferredcites →https://doi.org/10.1109/desec.2017.8073845openalex-snapshot
Towards fast and accurate machine learning attacks of feed-forward arbiter PUFs
inferredcites →https://doi.org/10.1109/hst.2010.5513108openalex-snapshot
A large scale characterization of RO-PUF
inferredcites →https://doi.org/10.1109/iciot.2018.00014openalex-snapshot
A Machine Learning-Based Security Vulnerability Study on XOR PUFs for Resource-Constraint Internet of Things
inferredcites →https://doi.org/10.1109/jproc.2014.2320516openalex-snapshot
Physical Unclonable Functions and Applications: A Tutorial
inferredcites →https://doi.org/10.1109/pst47121.2019.8949070openalex-snapshot
Extensive Examination of XOR Arbiter PUFs as Security Primitives for Resource-Constrained IoT Devices
inferredcites →https://doi.org/10.1109/spw.2012.30openalex-snapshot
Slender PUF Protocol: A Lightweight, Robust, and Secure Authentication by Substring Matching
inferredcites →https://doi.org/10.1109/test.2008.4700636openalex-snapshot
Testing Techniques for Hardware Security
inferredcites →https://doi.org/10.1109/tmscs.2016.2553027openalex-snapshot
A Lockdown Technique to Prevent Machine Learning on PUFs for Lightweight Authentication
inferredcites →https://doi.org/10.1109/tvlsi.2005.859470openalex-snapshot
Extracting secret keys from integrated circuits
inferredcites →https://doi.org/10.1109/wifs.2012.6412622openalex-snapshot
Machine learning attacks on 65nm Arbiter PUFs: Accurate modeling poses strict bounds on usability
inferredcites →https://doi.org/10.1145/1278480.1278484openalex-snapshot
Physical unclonable functions for device authentication and secret key generation
inferredcites →https://doi.org/10.1145/1866307.1866335openalex-snapshot
Modeling attacks on physical unclonable functions
inferredcites →https://doi.org/10.1145/3061639.3062315openalex-snapshot
Secure and Reliable XOR Arbiter PUF Design
inferredcites →https://doi.org/10.1145/586110.586132openalex-snapshot
Silicon physical random functions
inferredcites →https://doi.org/10.12720/jcm.15.10.714-721openalex-snapshot
Experimental Study of Component-Differentially-Challenged XOR PUFs as Security Primitives for Internet-of-Things
inferredcites →https://doi.org/10.3390/electronics9050870openalex-snapshot
Robustness and Unpredictability for Double Arbiter PUFs on Silicon Data: Performance Evaluation and Modeling Accuracy
inferredcites →https://doi.org/10.46586/tches.v2019.i4.243-290openalex-snapshot
The Interpose PUF: Secure PUF Design against State-of-the-art Machine Learning Attacks
inferredcites →https://doi.org/10.48456/tr-630openalex-snapshot
Semi-invasive attacks – A new approach to hardware security analysis
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4855555openalex-extracted
Security Analysis of Digital-Based Physically Unclonable Functions: Dataset Generation, Machine Learning Modeling, and Correlation Analysis
inferred← citeshttps://doi.org/10.1007/978-3-031-29207-1_2openalex-snapshot
Physical Unclonable Functions
inferred← citeshttps://doi.org/10.1007/978-3-031-70879-4_13openalex-snapshot
Optimal Machine-Learning Attacks on Hybrid PUFs
inferred← citeshttps://doi.org/10.1007/978-3-031-87760-5_18openalex-snapshot
32-bit and 64-bit CDC-7-XPUF Implementations on a Zynq-7020 SoC
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A Mutual Authentication and Key Agreement Scheme Based on PUF and Machine Learning for UAV Communications
inferred← citeshttps://doi.org/10.1007/s10836-022-06034-7openalex-snapshot
Design and Evaluation of XOR Arbiter Physical Unclonable Function and its Implementation on FPGA in Hardware Security Applications
inferred← citeshttps://doi.org/10.1007/s42979-026-04909-6openalex-snapshot
Securing IoT Devices with PUFs: Mitigating Aging and Tampering through Cryptography and Machine Learning
inferred← citeshttps://doi.org/10.1016/j.mejo.2026.107474openalex-snapshot
A resource-efficient Arbiter PUF resilient to machine learning attacks leveraging the Strict Avalanche Criterion
inferred← citeshttps://doi.org/10.1016/j.micpro.2022.104667openalex-snapshot
An efficient modeling attack for breaking the security of XOR-Arbiter PUFs by using the fully connected and long-short term memory
inferred← citeshttps://doi.org/10.1016/j.vlsi.2025.102538openalex-snapshot
Efficient, reliable, and secure PUF architecture with temperature invariance and ML attack resilience
inferred← citeshttps://doi.org/10.1038/s41598-024-71730-7openalex-snapshot
A robust deep learning attack immune MRAM-based physical unclonable function
inferred← citeshttps://doi.org/10.1038/s41598-024-73839-1openalex-snapshot
Resilience evaluation of memristor based PUF against machine learning attacks
inferred← citeshttps://doi.org/10.1049/cds2/3903508openalex-snapshot
Challenges in Modelling Analog PUFs: A Study of Hybrid and Diode Triode Current Mirror Inverter PUF Under Machine Learning Attacks
inferred← citeshttps://doi.org/10.1088/1742-6596/1729/1/012006openalex-snapshot
Experimental Examination of Component-Differentially-Challenged XOR PUF Circuits
inferred← citeshttps://doi.org/10.1088/1742-6596/1729/1/012010openalex-snapshot
A Hybrid-Optimizer-Enhanced Neural Network Method for the Security Vulnerability Study of Multiplexer Arbiter PUFs
inferred← citeshttps://doi.org/10.1088/2058-9565/ae92adopenalex-snapshot
Practical quantum tokens: challenges and perspectives
inferred← citeshttps://doi.org/10.1109/access.2021.3132915openalex-snapshot
Security Evaluation of n-Choose-k-Sum PUFs Against Modeling Attacks
inferred← citeshttps://doi.org/10.1109/access.2022.3188688openalex-snapshot
Detecting Islamic Radicalism Arabic Tweets Using Natural Language Processing
inferred← citeshttps://doi.org/10.1109/access.2023.3264016openalex-snapshot
Arbiter PUF—A Review of Design, Composition, and Security Aspects
inferred← citeshttps://doi.org/10.1109/access.2025.3583881openalex-snapshot
Quantum Well-Based Physical Unclonable Functions for IoT Device Attestation
inferred← citeshttps://doi.org/10.1109/access.2025.3600010openalex-snapshot
Additively Manufactured RF Electronics With Structurally Integrated Physically Unclonable Functions for Wireless System Security
inferred← citeshttps://doi.org/10.1109/acit69831.2026.11700061openalex-snapshot
Experimental Integration of ML-KEM with Lattice PUF in BITW Encryptor
inferred← citeshttps://doi.org/10.1109/aeect69724.2026.11657825openalex-snapshot
Lightweight Memory Obfuscation Using PUF-Based XOR Encryption
inferred← citeshttps://doi.org/10.1109/asianhost63913.2024.10838475openalex-snapshot
A Novel FPGA Mutually Coupled Configurable Ring Oscillator PUF
inferred← citeshttps://doi.org/10.1109/csr57506.2023.10224914openalex-snapshot
Counteracting Modeling Attacks Using Hardware-Based Dynamic Physical Unclonable Function
inferred← citeshttps://doi.org/10.1109/dcoss54816.2022.00069openalex-snapshot
Elaborating on Sub-Space Modeling as an Enrollment Solution for Strong PUF
inferred← citeshttps://doi.org/10.1109/host54066.2022.9839791openalex-snapshot
Towards Attack Resilient Delay-Based Strong PUFs
inferred← citeshttps://doi.org/10.1109/host55342.2024.10545395openalex-snapshot
Machine Learning Attacks on Challenge-Response Obfuscations in Strong PUFs
inferred← citeshttps://doi.org/10.1109/ic-icns68863.2026.11537700openalex-snapshot
Effect of Modular Vs Standard LFSR in Novel Homogenous Reversible Logic Based LFSR-APUF
inferred← citeshttps://doi.org/10.1109/ic2e357697.2023.10262654openalex-snapshot
Power and Area Aware Bump Physically Unclonable Function
inferred← citeshttps://doi.org/10.1109/icccs52626.2021.9449179openalex-snapshot
Machine Learning Attack on a Multiplexer PUF Variant Using Silicon Data: a Case Study on rMPUFs
inferred← citeshttps://doi.org/10.1109/iccsai64074.2025.11063984openalex-snapshot
Secure Ambulance Access using Physical Unclonable Functions (PUFs)
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Differential Emulatable PUF Design against Machine Learning Attacks for Hardware Security
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Deciphering the Unreplicable: Machine Learning Paradigms for Assessing and Manipulating Physical Unclonable Functions
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Security Evaluation of Feed-Forward Interpose PUF Against Modelling Attacks
inferred← citeshttps://doi.org/10.1109/infocomwkshps57453.2023.10226062openalex-snapshot
Securing PUFs Against ML Modeling Attacks via an Efficient Challenge-Response Approach
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Security Scalability of Arbiter PUF Designs
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Stochastic Selection of Responses for Physically Unclonable Functions
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An Efficient Approach to Model Strong PUF with Multi-Layer Perceptron using Transfer Learning
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Secure PUF-based Authentication and Key Exchange Protocol using Machine Learning
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Machine Learning-based Vulnerability Study of Interpose PUFs as Security Primitives for IoT Networks
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Water- PUF: An Insider Threat Resistant PUF Enrollment Protocol Based on Machine Learning Watermarking
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MLMSA: Multilabel Multiside-Channel-Information Enabled Deep Learning Attacks on APUF Variants
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When Random Is Bad: Selective CRPs for Protecting PUFs Against Modeling Attacks
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Efficient Modeling Attack on Multiplexer PUFs via Kronecker Matrix Multiplication
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Security, Stability, and Overhead: Configuration Design Study and Experimental Validation of XOR-ed Physical Unclonable Functions
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Realizing Robust, Lightweight Strong PUFs for Securing Smart Grids
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Design and Evaluate Recomposited OR-AND-XOR-PUF
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Neural Network Modeling Attacks on Arbiter-PUF-Based Designs
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Attacking Delay-Based PUFs With Minimal Adversarial Knowledge
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PLAnCo: Provable Learnability Analysis of Generic APUF Compositions Using Finite Automata Models
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TP-IoAV: A Tri-Party Cloud Data Protection Scheme for Internet of Autonomous Vehicle Coupled With Chaotic Biometric Cryptography
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A Survey on the Susceptibility of PUFs to Invasive, Semi-Invasive and Noninvasive Attacks: Challenges and Opportunities for Future Directions
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OPUF: Obfuscated PUF against Machine Learning Modeling Attacks
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Emerging Device-Based Hardware Security Primitives: From CMOS PUFs to Ferroelectric and Memristive Technologies
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A Problem-tailored Adversarial Deep Neural Network-Based Attack Model for Feed-Forward Physical Unclonable Functions
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A machine learning resistant PUF circuit adjustment method based on strict avalanche criterion
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A Novel Attack on Complex APUFs Using the Evolutionary Deep Convolutional Neural Network
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The Eye-Opening Arbiter-PUF FPGA Implementation with Auto Error Detection
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Machine Learning and Fuzzy Logic in Electronics: Applying Intelligence in Practice
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Strong PUF Enrollment with Machine Learning: A Methodical Approach
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A Subspace Pre-Learning Strategy to Break the Interpose PUF
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Security Analysis of Digital-Based Physically Unclonable Functions: Dataset Generation, Machine Learning Modeling, and Correlation Analysis
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CalyPSO: An Enhanced Search Optimization based Framework to Model Delay-based PUFs
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A Challenge Obfuscating Interface for Arbiter PUF Variants against Machine Learning Attacks
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Phantom: A High-Performance Computational Core for Sparse Convolutional Neural Networks
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A New Security Boundary of Component Differentially Challenged XOR Pufs Against Machine Learning Modeling Attacks
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Security bootstrapping for Internet of Things
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