Copertina

The Relationship Between Network Similarity and Transferability of Adversarial Attacks

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Klause, Gerrit, Bunzel, Niklas
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Cryptography and Security Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Attack by Unlearning: Unlearning-Induced Adversarial Attacks on Graph Neural Networks
di: Zhang, Jiahao, et al.
Pubblicazione: (2026)

Evaluating the Robustness of a Production Malware Detection System to Transferable Adversarial Attacks
di: Nasr, Milad, et al.
Pubblicazione: (2025)

Relationship between Uncertainty in DNNs and Adversarial Attacks
di: Ogonna, Mabel, et al.
Pubblicazione: (2024)

Quantifying the Risk of Transferred Black Box Attacks
di: Cox, Disesdi Susanna, et al.
Pubblicazione: (2025)

Enhancing Adversarial Attacks via Parameter Adaptive Adversarial Attack
di: Jin, Zhibo, et al.
Pubblicazione: (2024)

Adversarial Attacks on Locally Private Graph Neural Networks
di: Varun, Matta, et al.
Pubblicazione: (2026)

Adversarial Attacks on Graph Neural Networks via Meta Learning
di: Zügner, Daniel, et al.
Pubblicazione: (2019)

HGAttack: Transferable Heterogeneous Graph Adversarial Attack
di: Zhao, He, et al.
Pubblicazione: (2024)

Constrained Adaptive Attack: Effective Adversarial Attack Against Deep Neural Networks for Tabular Data
di: Simonetto, Thibault, et al.
Pubblicazione: (2024)

Exploring the Effect of DNN Depth on Adversarial Attacks in Network Intrusion Detection Systems
di: ElShehaby, Mohamed, et al.
Pubblicazione: (2025)

Transferability Ranking of Adversarial Examples
di: Levy, Mosh, et al.
Pubblicazione: (2022)

Robustness Against Adversarial Attacks via Learning Confined Adversarial Polytopes
di: Hamidi, Shayan Mohajer, et al.
Pubblicazione: (2024)

Generalization Properties of Adversarial Training for $\ell_0$-Bounded Adversarial Attacks
di: Delgosha, Payam, et al.
Pubblicazione: (2024)

Detecting Backdoor Attacks via Similarity in Semantic Communication Systems
di: Wei, Ziyang, et al.
Pubblicazione: (2025)

Calibration Attacks: A Comprehensive Study of Adversarial Attacks on Model Confidence
di: Obadinma, Stephen, et al.
Pubblicazione: (2024)

Transferable Availability Poisoning Attacks
di: Liu, Yiyong, et al.
Pubblicazione: (2023)

Temporal Analysis of Adversarial Attacks in Federated Learning
di: Mapakshi, Rohit, et al.
Pubblicazione: (2025)

Adversarial Contrastive Learning for LLM Quantization Attacks
di: Song, Dinghong, et al.
Pubblicazione: (2026)

Efficient Adversarial Training in LLMs with Continuous Attacks
di: Xhonneux, Sophie, et al.
Pubblicazione: (2024)

Transfer-based Adversarial Poisoning Attacks for Online (MIMO-)Deep Receviers
di: Wu, Kunze, et al.
Pubblicazione: (2024)

On the Robustness of Bayesian Neural Networks to Adversarial Attacks
di: Bortolussi, Luca, et al.
Pubblicazione: (2022)

Test-time Adversarial Defense with Opposite Adversarial Path and High Attack Time Cost
di: Yeh, Cheng-Han, et al.
Pubblicazione: (2024)

Understanding and Enhancing the Transferability of Jailbreaking Attacks
di: Lin, Runqi, et al.
Pubblicazione: (2025)

A Defensive Framework Against Adversarial Attacks on Machine Learning-Based Network Intrusion Detection Systems
di: Tafreshian, Benyamin, et al.
Pubblicazione: (2025)

Evaluating Adversarial Attacks on Federated Learning for Temperature Forecasting
di: Chichifoi, Karina, et al.
Pubblicazione: (2025)

Differentiable Adversarial Attacks for Marked Temporal Point Processes
di: Chakraborty, Pritish, et al.
Pubblicazione: (2025)

Adversarial Inception Backdoor Attacks against Reinforcement Learning
di: Rathbun, Ethan, et al.
Pubblicazione: (2024)

Stealthy Adversarial Attacks on Stochastic Multi-Armed Bandits
di: Wang, Zhiwei, et al.
Pubblicazione: (2024)

Asymmetric Bias in Text-to-Image Generation with Adversarial Attacks
di: Shahgir, Haz Sameen, et al.
Pubblicazione: (2023)

Colliding with Adversaries at ECML-PKDD 2025 Adversarial Attack Competition 1st Prize Solution
di: Stefanopoulos, Dimitris, et al.
Pubblicazione: (2025)

Quantitative Analysis of Deeply Quantized Tiny Neural Networks Robust to Adversarial Attacks
di: Zakariyya, Idris, et al.
Pubblicazione: (2025)

Interpreting Adversarial Attacks and Defences using Architectures with Enhanced Interpretability
di: Rao, Akshay G, et al.
Pubblicazione: (2025)

Real-World Adversarial Attacks on RF-Based Drone Detectors
di: Gazit, Omer, et al.
Pubblicazione: (2025)

A Comprehensive Analysis of Adversarial Attacks against Spam Filters
di: Hotoğlu, Esra, et al.
Pubblicazione: (2025)

Moshi Moshi? A Model Selection Hijacking Adversarial Attack
di: Petrucci, Riccardo, et al.
Pubblicazione: (2025)

Passive Inference Attacks on Split Learning via Adversarial Regularization
di: Zhu, Xiaochen, et al.
Pubblicazione: (2023)

Low-Cost Hard-Label Adversarial Attack with Theoretical Foundations
di: Liu, Jun, et al.
Pubblicazione: (2026)

Explainability-Based Adversarial Attack on Graphs Through Edge Perturbation
di: Chanda, Dibaloke, et al.
Pubblicazione: (2023)

BruSLeAttack: A Query-Efficient Score-Based Black-Box Sparse Adversarial Attack
di: Vo, Viet Quoc, et al.
Pubblicazione: (2024)

Medusa: Cross-Modal Transferable Adversarial Attacks on Multimodal Medical Retrieval-Augmented Generation
di: Shang, Yingjia, et al.
Pubblicazione: (2025)