Navigating the Deep: End-to-End Extraction on Deep Neural Networks
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Haolin, Siproudhis, Adrien, Experton, Samuel, Lorenz, Peter, Boura, Christina, Peyrin, Thomas |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
FullCert: Deterministic End-to-End Certification for Training and Inference of Neural Networks
by: Lorenz, Tobias, et al.
Published: (2024)
by: Lorenz, Tobias, et al.
Published: (2024)
End to End Collaborative Synthetic Data Generation
by: Pentyala, Sikha, et al.
Published: (2024)
by: Pentyala, Sikha, et al.
Published: (2024)
Deep-Lock: Secure Authorization for Deep Neural Networks
by: Alam, Manaar, et al.
Published: (2020)
by: Alam, Manaar, et al.
Published: (2020)
The Hitchhiker's Guide to Efficient, End-to-End, and Tight DP Auditing
by: Annamalai, Meenatchi Sundaram Muthu Selva, et al.
Published: (2025)
by: Annamalai, Meenatchi Sundaram Muthu Selva, et al.
Published: (2025)
End-to-End Anti-Backdoor Learning on Images and Time Series
by: Jiang, Yujing, et al.
Published: (2024)
by: Jiang, Yujing, et al.
Published: (2024)
Defending against Backdoor Attack on Deep Neural Networks
by: Cheng, Hao, et al.
Published: (2020)
by: Cheng, Hao, et al.
Published: (2020)
An End-to-End Framework for Functionality-Embedded Provenance Graph Construction and Threat Interpretation
by: Ghosh, Kushankur, et al.
Published: (2026)
by: Ghosh, Kushankur, et al.
Published: (2026)
An Adaptive End-to-End IoT Security Framework Using Explainable AI and LLMs
by: Baral, Sudipto, et al.
Published: (2024)
by: Baral, Sudipto, et al.
Published: (2024)
The Importance of Being Discrete: Measuring the Impact of Discretization in End-to-End Differentially Private Synthetic Data
by: Ganev, Georgi, et al.
Published: (2025)
by: Ganev, Georgi, et al.
Published: (2025)
Patch Synthesis for Property Repair of Deep Neural Networks
by: Chi, Zhiming, et al.
Published: (2024)
by: Chi, Zhiming, et al.
Published: (2024)
MixNN: Protection of Federated Learning Against Inference Attacks by Mixing Neural Network Layers
by: Boutet, Antoine, et al.
Published: (2021)
by: Boutet, Antoine, et al.
Published: (2021)
Eclectic Rule Extraction for Explainability of Deep Neural Network based Intrusion Detection Systems
by: Ables, Jesse, et al.
Published: (2024)
by: Ables, Jesse, et al.
Published: (2024)
Fast and Private Inference of Deep Neural Networks by Co-designing Activation Functions
by: Diaa, Abdulrahman, et al.
Published: (2023)
by: Diaa, Abdulrahman, et al.
Published: (2023)
DeepTaster: Adversarial Perturbation-Based Fingerprinting to Identify Proprietary Dataset Use in Deep Neural Networks
by: Park, Seonhye, et al.
Published: (2022)
by: Park, Seonhye, et al.
Published: (2022)
TT-TFHE: a Torus Fully Homomorphic Encryption-Friendly Neural Network Architecture
by: Benamira, Adrien, et al.
Published: (2023)
by: Benamira, Adrien, et al.
Published: (2023)
Investigating Application of Deep Neural Networks in Intrusion Detection System Design
by: Jeje, Mofe O.
Published: (2025)
by: Jeje, Mofe O.
Published: (2025)
BlockDoor: Blocking Backdoor Based Watermarks in Deep Neural Networks
by: Puah, Yi Hao, et al.
Published: (2024)
by: Puah, Yi Hao, et al.
Published: (2024)
The SkipSponge Attack: Sponge Weight Poisoning of Deep Neural Networks
by: Lintelo, Jona te, et al.
Published: (2024)
by: Lintelo, Jona te, et al.
Published: (2024)
On the Evaluation of User Privacy in Deep Neural Networks using Timing Side Channel
by: Shukla, Shubhi, et al.
Published: (2022)
by: Shukla, Shubhi, et al.
Published: (2022)
Hard-Label Cryptanalytic Extraction of Neural Network Models
by: Chen, Yi, et al.
Published: (2024)
by: Chen, Yi, et al.
Published: (2024)
NeuroDeX: Unlocking Diverse Support in Decompiling Deep Neural Network Executables
by: Li, Yilin, et al.
Published: (2025)
by: Li, Yilin, et al.
Published: (2025)
Adaptive Pruning of Deep Neural Networks for Resource-Aware Embedded Intrusion Detection on the Edge
by: Broggi, Alexandre, et al.
Published: (2025)
by: Broggi, Alexandre, et al.
Published: (2025)
BeniFul: Backdoor Defense via Middle Feature Analysis for Deep Neural Networks
by: Li, Xinfu, et al.
Published: (2024)
by: Li, Xinfu, et al.
Published: (2024)
DeepProv: Behavioral Characterization and Repair of Neural Networks via Inference Provenance Graph Analysis
by: Hmida, Firas Ben, et al.
Published: (2025)
by: Hmida, Firas Ben, et al.
Published: (2025)
Constrained Adaptive Attack: Effective Adversarial Attack Against Deep Neural Networks for Tabular Data
by: Simonetto, Thibault, et al.
Published: (2024)
by: Simonetto, Thibault, et al.
Published: (2024)
mmFHE: mmWave Sensing with End-to-End Fully Homomorphic Encryption
by: Ahmed, Tanvir, et al.
Published: (2026)
by: Ahmed, Tanvir, et al.
Published: (2026)
ARES: Adaptive Red-Teaming and End-to-End Repair of Policy-Reward System
by: Liang, Jiacheng, et al.
Published: (2026)
by: Liang, Jiacheng, et al.
Published: (2026)
Privacy-Preserving End-to-End Spoken Language Understanding
by: Wang, Yinggui, et al.
Published: (2024)
by: Wang, Yinggui, et al.
Published: (2024)
PiDAn: A Coherence Optimization Approach for Backdoor Attack Detection and Mitigation in Deep Neural Networks
by: Wang, Yue, et al.
Published: (2022)
by: Wang, Yue, et al.
Published: (2022)
Advancing DDoS Attack Detection: A Synergistic Approach Using Deep Residual Neural Networks and Synthetic Oversampling
by: Alfatemi, Ali, et al.
Published: (2024)
by: Alfatemi, Ali, et al.
Published: (2024)
End-to-End Verifiable Decentralized Federated Learning
by: Lee, Chaehyeon, et al.
Published: (2024)
by: Lee, Chaehyeon, et al.
Published: (2024)
DivQAT: Enhancing Robustness of Quantized Convolutional Neural Networks against Model Extraction Attacks
by: Khaled, Kacem, et al.
Published: (2025)
by: Khaled, Kacem, et al.
Published: (2025)
ATOM: A Framework of Detecting Query-Based Model Extraction Attacks for Graph Neural Networks
by: Cheng, Zhan, et al.
Published: (2025)
by: Cheng, Zhan, et al.
Published: (2025)
TeleSparse: Practical Privacy-Preserving Verification of Deep Neural Networks
by: Maheri, Mohammad M, et al.
Published: (2025)
by: Maheri, Mohammad M, et al.
Published: (2025)
Network Threat Detection: Addressing Class Imbalanced Data with Deep Forest
by: Chen, Jiaqi, et al.
Published: (2025)
by: Chen, Jiaqi, et al.
Published: (2025)
Deep Learning-based Anomaly Detection and Log Analysis for Computer Networks
by: Wang, Shuzhan, et al.
Published: (2024)
by: Wang, Shuzhan, et al.
Published: (2024)
DeepTracer: Tracing Stolen Model via Deep Coupled Watermarks
by: Yang, Yunfei, et al.
Published: (2025)
by: Yang, Yunfei, et al.
Published: (2025)
Adaptive Federated Learning Defences via Trust-Aware Deep Q-Networks
by: Palit, Vedant
Published: (2025)
by: Palit, Vedant
Published: (2025)
DPDR: Gradient Decomposition and Reconstruction for Differentially Private Deep Learning
by: Liu, Yixuan, et al.
Published: (2024)
by: Liu, Yixuan, et al.
Published: (2024)
Enhancing Cybersecurity in IoT Networks: A Deep Learning Approach to Anomaly Detection
by: Pang, Yining, et al.
Published: (2024)
by: Pang, Yining, et al.
Published: (2024)
Similar Items
-
FullCert: Deterministic End-to-End Certification for Training and Inference of Neural Networks
by: Lorenz, Tobias, et al.
Published: (2024) -
End to End Collaborative Synthetic Data Generation
by: Pentyala, Sikha, et al.
Published: (2024) -
Deep-Lock: Secure Authorization for Deep Neural Networks
by: Alam, Manaar, et al.
Published: (2020) -
The Hitchhiker's Guide to Efficient, End-to-End, and Tight DP Auditing
by: Annamalai, Meenatchi Sundaram Muthu Selva, et al.
Published: (2025) -
End-to-End Anti-Backdoor Learning on Images and Time Series
by: Jiang, Yujing, et al.
Published: (2024)