Verification of Neural Networks against Convolutional Perturbations via Parameterised Kernels
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Brückner, Benedikt, Lomuscio, Alessio |
|---|---|
| Format: | Preprint |
| Publié: |
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
IoUCert: Robustness Verification for Anchor-based Object Detectors
par: Brückner, Benedikt, et autres
Publié: (2026)
par: Brückner, Benedikt, et autres
Publié: (2026)
Interpretation of Neural Networks is Susceptible to Universal Adversarial Perturbations
par: Oskouie, Haniyeh Ehsani, et autres
Publié: (2022)
par: Oskouie, Haniyeh Ehsani, et autres
Publié: (2022)
Towards Robust Protective Perturbation against DeepFake Face Swapping
par: Yao, Hengyang, et autres
Publié: (2025)
par: Yao, Hengyang, et autres
Publié: (2025)
MOVE: Effective and Harmless Ownership Verification via Embedded External Features
par: Li, Yiming, et autres
Publié: (2022)
par: Li, Yiming, et autres
Publié: (2022)
Blending adversarial training and representation-conditional purification via aggregation improves adversarial robustness
par: Ballarin, Emanuele, et autres
Publié: (2023)
par: Ballarin, Emanuele, et autres
Publié: (2023)
CertDW: Towards Certified Dataset Ownership Verification via Conformal Prediction
par: Qiao, Ting, et autres
Publié: (2025)
par: Qiao, Ting, et autres
Publié: (2025)
PointNCBW: Towards Dataset Ownership Verification for Point Clouds via Negative Clean-label Backdoor Watermark
par: Wei, Cheng, et autres
Publié: (2024)
par: Wei, Cheng, et autres
Publié: (2024)
Improving Adversarial Training using Vulnerability-Aware Perturbation Budget
par: Fakorede, Olukorede, et autres
Publié: (2024)
par: Fakorede, Olukorede, et autres
Publié: (2024)
Verification of Geometric Robustness of Neural Networks via Piecewise Linear Approximation and Lipschitz Optimisation
par: Batten, Ben, et autres
Publié: (2024)
par: Batten, Ben, et autres
Publié: (2024)
Null Space Properties of Neural Networks with Applications to Image Steganography
par: Li, Xiang, et autres
Publié: (2024)
par: Li, Xiang, et autres
Publié: (2024)
On the explainable properties of 1-Lipschitz Neural Networks: An Optimal Transport Perspective
par: Serrurier, Mathieu, et autres
Publié: (2022)
par: Serrurier, Mathieu, et autres
Publié: (2022)
SAME: Sample Reconstruction against Model Extraction Attacks
par: Xie, Yi, et autres
Publié: (2023)
par: Xie, Yi, et autres
Publié: (2023)
Detection and Recovery Against Deep Neural Network Fault Injection Attacks Based on Contrastive Learning
par: Wang, Chenan, et autres
Publié: (2024)
par: Wang, Chenan, et autres
Publié: (2024)
Kill it with FIRE: On Leveraging Latent Space Directions for Runtime Backdoor Mitigation in Deep Neural Networks
par: Ahlers, Enrico, et autres
Publié: (2026)
par: Ahlers, Enrico, et autres
Publié: (2026)
FLARE: Toward Universal Dataset Purification against Backdoor Attacks
par: Hou, Linshan, et autres
Publié: (2024)
par: Hou, Linshan, et autres
Publié: (2024)
Shadow defense against gradient inversion attack in federated learning
par: Jiang, Le, et autres
Publié: (2025)
par: Jiang, Le, et autres
Publié: (2025)
DIFFender: Diffusion-Based Adversarial Defense against Patch Attacks
par: Kang, Caixin, et autres
Publié: (2023)
par: Kang, Caixin, et autres
Publié: (2023)
A Survey on Physical Adversarial Attacks against Face Recognition Systems
par: Wang, Mingsi, et autres
Publié: (2024)
par: Wang, Mingsi, et autres
Publié: (2024)
Trap-MID: Trapdoor-based Defense against Model Inversion Attacks
par: Liu, Zhen-Ting, et autres
Publié: (2024)
par: Liu, Zhen-Ting, et autres
Publié: (2024)
Real-world Adversarial Defense against Patch Attacks based on Diffusion Model
par: Wei, Xingxing, et autres
Publié: (2024)
par: Wei, Xingxing, et autres
Publié: (2024)
A White-Box False Positive Adversarial Attack Method on Contrastive Loss Based Offline Handwritten Signature Verification Models
par: Guo, Zhongliang, et autres
Publié: (2023)
par: Guo, Zhongliang, et autres
Publié: (2023)
Towards Resilient Safety-driven Unlearning for Diffusion Models against Downstream Fine-tuning
par: Li, Boheng, et autres
Publié: (2025)
par: Li, Boheng, et autres
Publié: (2025)
Better Safe than Sorry: Pre-training CLIP against Targeted Data Poisoning and Backdoor Attacks
par: Yang, Wenhan, et autres
Publié: (2023)
par: Yang, Wenhan, et autres
Publié: (2023)
GIFT: Gradient-aware Immunization of diffusion models against malicious Fine-Tuning with safe concepts retention
par: Abdalla, Amro, et autres
Publié: (2025)
par: Abdalla, Amro, et autres
Publié: (2025)
Enhanced Convolution Neural Network with Optimized Pooling and Hyperparameter Tuning for Network Intrusion Detection
par: Sharma, Ayush Kumar, et autres
Publié: (2024)
par: Sharma, Ayush Kumar, et autres
Publié: (2024)
Architectural Neural Backdoors from First Principles
par: Langford, Harry, et autres
Publié: (2024)
par: Langford, Harry, et autres
Publié: (2024)
LaserGuider: A Laser Based Physical Backdoor Attack against Deep Neural Networks
par: Xu, Yongjie, et autres
Publié: (2024)
par: Xu, Yongjie, et autres
Publié: (2024)
Fingerprinting Image-to-Image Generative Adversarial Networks
par: Li, Guanlin, et autres
Publié: (2021)
par: Li, Guanlin, et autres
Publié: (2021)
RoboSignature: Robust Signature and Watermarking on Network Attacks
par: Shaan, Aryaman, et autres
Publié: (2024)
par: Shaan, Aryaman, et autres
Publié: (2024)
Fight Perturbations with Perturbations: Defending Adversarial Attacks via Neuron Influence
par: Chen, Ruoxi, et autres
Publié: (2021)
par: Chen, Ruoxi, et autres
Publié: (2021)
Personalized Federated Learning via Backbone Self-Distillation
par: Wang, Pengju, et autres
Publié: (2024)
par: Wang, Pengju, et autres
Publié: (2024)
A Survey on the Application of Generative Adversarial Networks in Cybersecurity: Prospective, Direction and Open Research Scopes
par: Arifin, Md Mashrur, et autres
Publié: (2024)
par: Arifin, Md Mashrur, et autres
Publié: (2024)
Exploring the Adversarial Frontier: Quantifying Robustness via Adversarial Hypervolume
par: Guo, Ping, et autres
Publié: (2024)
par: Guo, Ping, et autres
Publié: (2024)
Purify Unlearnable Examples via Rate-Constrained Variational Autoencoders
par: Yu, Yi, et autres
Publié: (2024)
par: Yu, Yi, et autres
Publié: (2024)
Towards Personalized Federated Learning via Comprehensive Knowledge Distillation
par: Wang, Pengju, et autres
Publié: (2024)
par: Wang, Pengju, et autres
Publié: (2024)
REFINE: Inversion-Free Backdoor Defense via Model Reprogramming
par: Chen, Yukun, et autres
Publié: (2025)
par: Chen, Yukun, et autres
Publié: (2025)
Membership Inference Attacks against Large Vision-Language Models
par: Li, Zhan, et autres
Publié: (2024)
par: Li, Zhan, et autres
Publié: (2024)
Improving Robustness to Model Inversion Attacks via Sparse Coding Architectures
par: Dibbo, Sayanton V., et autres
Publié: (2024)
par: Dibbo, Sayanton V., et autres
Publié: (2024)
Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery
par: Chang, Ching-Chun, et autres
Publié: (2024)
par: Chang, Ching-Chun, et autres
Publié: (2024)
Towards Sample-specific Backdoor Attack with Clean Labels via Attribute Trigger
par: Zhu, Mingyan, et autres
Publié: (2023)
par: Zhu, Mingyan, et autres
Publié: (2023)
Documents similaires
-
IoUCert: Robustness Verification for Anchor-based Object Detectors
par: Brückner, Benedikt, et autres
Publié: (2026) -
Interpretation of Neural Networks is Susceptible to Universal Adversarial Perturbations
par: Oskouie, Haniyeh Ehsani, et autres
Publié: (2022) -
Towards Robust Protective Perturbation against DeepFake Face Swapping
par: Yao, Hengyang, et autres
Publié: (2025) -
MOVE: Effective and Harmless Ownership Verification via Embedded External Features
par: Li, Yiming, et autres
Publié: (2022) -
Blending adversarial training and representation-conditional purification via aggregation improves adversarial robustness
par: Ballarin, Emanuele, et autres
Publié: (2023)