Post-Quantum Cryptography Neural Network
Fuente:
arXiv
Saved in:
| Main Author: | Chen, Abel C. H. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Enhancing Quantum Security over Federated Learning via Post-Quantum Cryptography
by: Li, Pingzhi, et al.
Published: (2024)
by: Li, Pingzhi, et al.
Published: (2024)
A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks
by: Papadopoulos, Georgios, et al.
Published: (2025)
by: Papadopoulos, Georgios, et al.
Published: (2025)
Quantum-Resistant Networks Using Post-Quantum Cryptography
by: Jin, Xin, et al.
Published: (2025)
by: Jin, Xin, et al.
Published: (2025)
Homomorphic Encryption Based on Post-Quantum Cryptography
by: Chen, Abel C. H.
Published: (2024)
by: Chen, Abel C. H.
Published: (2024)
Trusted Machine Learning Models Unlock Private Inference for Problems Currently Infeasible with Cryptography
by: Shumailov, Ilia, et al.
Published: (2025)
by: Shumailov, Ilia, et al.
Published: (2025)
Q-AGNN: Quantum-Enhanced Attentive Graph Neural Network for Intrusion Detection
by: Chaudhary, Devashish, et al.
Published: (2026)
by: Chaudhary, Devashish, et al.
Published: (2026)
Homomorphic Encryption Based on Lattice Post-Quantum Cryptography
by: Chen, Abel C. H.
Published: (2024)
by: Chen, Abel C. H.
Published: (2024)
Backdoor Attack on Vertical Federated Graph Neural Network Learning
by: Yang, Jirui, et al.
Published: (2024)
by: Yang, Jirui, et al.
Published: (2024)
AGSOA:Graph Neural Network Targeted Attack Based on Average Gradient and Structure Optimization
by: Chen, Yang, et al.
Published: (2024)
by: Chen, Yang, et al.
Published: (2024)
Tightening Robustness Verification of MaxPool-based Neural Networks via Minimizing the Over-Approximation Zone
by: Xiao, Yuan, et al.
Published: (2022)
by: Xiao, Yuan, et al.
Published: (2022)
FreeMark: A Non-Invasive White-Box Watermarking for Deep Neural Networks
by: Chen, Yuzhang, et al.
Published: (2024)
by: Chen, Yuzhang, et al.
Published: (2024)
Resilience of Entropy Model in Distributed Neural Networks
by: Zhang, Milin, et al.
Published: (2024)
by: Zhang, Milin, et al.
Published: (2024)
Unlearning Inversion Attacks for Graph Neural Networks
by: Zhang, Jiahao, et al.
Published: (2025)
by: Zhang, Jiahao, et al.
Published: (2025)
On the Robustness of Bayesian Neural Networks to Adversarial Attacks
by: Bortolussi, Luca, et al.
Published: (2022)
by: Bortolussi, Luca, et al.
Published: (2022)
FairProof : Confidential and Certifiable Fairness for Neural Networks
by: Yadav, Chhavi, et al.
Published: (2024)
by: Yadav, Chhavi, et al.
Published: (2024)
Synthetic Trajectory Generation Through Convolutional Neural Networks
by: Merhi, Jesse, et al.
Published: (2024)
by: Merhi, Jesse, et al.
Published: (2024)
Decoupling Generalizability and Membership Privacy Risks in Neural Networks
by: Fang, Xingli, et al.
Published: (2026)
by: Fang, Xingli, et al.
Published: (2026)
Learning Nonlinearity of Boolean Functions: An Experimentation with Neural Networks
by: Ranga, Sriram, et al.
Published: (2025)
by: Ranga, Sriram, et al.
Published: (2025)
TAS-GNN: A Status-Aware Signed Graph Neural Network for Anomaly Detection in Bitcoin Trust Systems
by: Xue, Chang, et al.
Published: (2026)
by: Xue, Chang, et al.
Published: (2026)
Integrating Graph Neural Networks with Scattering Transform for Anomaly Detection
by: Zoubir, Abdeljalil, et al.
Published: (2024)
by: Zoubir, Abdeljalil, et al.
Published: (2024)
Privacy-Preserving Intrusion Detection using Convolutional Neural Networks
by: Kodys, Martin, et al.
Published: (2024)
by: Kodys, Martin, et al.
Published: (2024)
Exact Verification of Graph Neural Networks with Incremental Constraint Solving
by: Liu, Minghao, et al.
Published: (2025)
by: Liu, Minghao, et al.
Published: (2025)
Verification of Bit-Flip Attacks against Quantized Neural Networks
by: Zhang, Yedi, et al.
Published: (2025)
by: Zhang, Yedi, et al.
Published: (2025)
From Federated Learning to Quantum Federated Learning for Space-Air-Ground Integrated Networks
by: Quy, Vu Khanh, et al.
Published: (2024)
by: Quy, Vu Khanh, et al.
Published: (2024)
PPT-GNN: A Practical Pre-Trained Spatio-Temporal Graph Neural Network for Network Security
by: Van Langendonck, Louis, et al.
Published: (2024)
by: Van Langendonck, Louis, et al.
Published: (2024)
Dynamic Neural Control Flow Execution: An Agent-Based Deep Equilibrium Approach for Binary Vulnerability Detection
by: Li, Litao, et al.
Published: (2024)
by: Li, Litao, et al.
Published: (2024)
TEESlice: Protecting Sensitive Neural Network Models in Trusted Execution Environments When Attackers have Pre-Trained Models
by: Li, Ding, et al.
Published: (2024)
by: Li, Ding, et al.
Published: (2024)
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)
Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection
by: Zhang, Xinchen, et al.
Published: (2024)
by: Zhang, Xinchen, et al.
Published: (2024)
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)
TEN-GUARD: Tensor Decomposition for Backdoor Attack Detection in Deep Neural Networks
by: Hossain, Khondoker Murad, et al.
Published: (2024)
by: Hossain, Khondoker Murad, et al.
Published: (2024)
Bounding the Expected Robustness of Graph Neural Networks Subject to Node Feature Attacks
by: Abbahaddou, Yassine, et al.
Published: (2024)
by: Abbahaddou, Yassine, et al.
Published: (2024)
Enhancing Internet of Things Security throughSelf-Supervised Graph Neural Networks
by: Atitallah, Safa Ben, et al.
Published: (2024)
by: Atitallah, Safa Ben, et al.
Published: (2024)
PRUNE: A Patching Based Repair Framework for Certifiable Unlearning of Neural Networks
by: Li, Xuran, et al.
Published: (2025)
by: Li, Xuran, et al.
Published: (2025)
XG-NID: Dual-Modality Network Intrusion Detection using a Heterogeneous Graph Neural Network and Large Language Model
by: Farrukh, Yasir Ali, et al.
Published: (2024)
by: Farrukh, Yasir Ali, et al.
Published: (2024)
Have You Poisoned My Data? Defending Neural Networks against Data Poisoning
by: De Gaspari, Fabio, et al.
Published: (2024)
by: De Gaspari, Fabio, et al.
Published: (2024)
A Cognac Shot To Forget Bad Memories: Corrective Unlearning for Graph Neural Networks
by: Kolipaka, Varshita, et al.
Published: (2024)
by: Kolipaka, Varshita, et al.
Published: (2024)
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)
IoT-based Android Malware Detection Using Graph Neural Network With Adversarial Defense
by: Yumlembam, Rahul, et al.
Published: (2025)
by: Yumlembam, Rahul, et al.
Published: (2025)
Detecting and Eliminating Neural Network Backdoors Through Active Paths with Application to Intrusion Detection
by: Høyheim, Eirik, et al.
Published: (2026)
by: Høyheim, Eirik, et al.
Published: (2026)
Similar Items
-
Enhancing Quantum Security over Federated Learning via Post-Quantum Cryptography
by: Li, Pingzhi, et al.
Published: (2024) -
A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks
by: Papadopoulos, Georgios, et al.
Published: (2025) -
Quantum-Resistant Networks Using Post-Quantum Cryptography
by: Jin, Xin, et al.
Published: (2025) -
Homomorphic Encryption Based on Post-Quantum Cryptography
by: Chen, Abel C. H.
Published: (2024) -
Trusted Machine Learning Models Unlock Private Inference for Problems Currently Infeasible with Cryptography
by: Shumailov, Ilia, et al.
Published: (2025)