:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Pu, Cunlai, Gao, Xingyu, Liang, Jinbi, Guo, Jianhui, Shu, Xiangbo, Xia, Yongxiang, Sharafat, Rajput Ramiz
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Social and Information Networks
Accesso online:	https://arxiv.org/abs/2601.04259
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Line Graph Neural Networks for Link Weight Prediction
di: Liang, Jinbi, et al.
Pubblicazione: (2023)

MUST: Multi-Scale Structural-Temporal Link Prediction Model for UAV Ad Hoc Networks
di: Pu, Cunlai, et al.
Pubblicazione: (2025)

CLF-ULP: Cross-Layer Fusion-Based Link Prediction in Dynamic Multiplex UAV Networks
di: Pu, Cunlai, et al.
Pubblicazione: (2026)

Epidemic spreading in wireless sensor networks with node sleep scheduling
di: Wu, Yanqing, et al.
Pubblicazione: (2023)

NC-MOPSO: Network centrality guided multi-objective particle swarm optimization for transport optimization on networks
di: Wu, Jiexin, et al.
Pubblicazione: (2020)

On the asymmetry of finite delooping levels
di: Sun, YongLiang, et al.
Pubblicazione: (2022)

FMM-Attack: A Flow-based Multi-modal Adversarial Attack on Video-based LLMs
di: Li, Jinmin, et al.
Pubblicazione: (2024)

Fast Adversarial Attacks with Gradient Prediction
di: Ciosek, Kamil, et al.
Pubblicazione: (2026)

Igusa-Todorov distances
di: Zhang, Jinbi, et al.
Pubblicazione: (2024)

New invariants of stable equivalences of algebras
di: Xi, Changchang, et al.
Pubblicazione: (2022)

Extension dimensions under singular equivalences and recollements
di: Zhang, Jinbi, et al.
Pubblicazione: (2025)

Attack-Augmentation Mixing-Contrastive Skeletal Representation Learning
di: Xu, Binqian, et al.
Pubblicazione: (2023)

TsallisPGD: Adaptive Gradient Weighting for Adversarial Attacks on Semantic Segmentation
di: Matyasko, Alexander, et al.
Pubblicazione: (2026)

Fine-Grained Iterative Adversarial Attacks with Limited Computation Budget
di: Hou, Zhichao, et al.
Pubblicazione: (2025)

AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples
di: Cinà, Antonio Emanuele, et al.
Pubblicazione: (2024)

Robust Trimmed Multipatch IGA with Singular Maps
di: Jonsson, Tobias, et al.
Pubblicazione: (2025)

IGA-LBM: Isogeometric lattice Boltzmann method
di: Ji, Ye, et al.
Pubblicazione: (2025)

Industrial Process Fault Detection Based on IGA‐Combinatorial Model Decision Mechanism
di: Shujuan Wei, et al.
Pubblicazione: (2024)

Privacy Leaks by Adversaries: Adversarial Iterations for Membership Inference Attack
di: Xue, Jing, et al.
Pubblicazione: (2025)

Scale-free and Task-agnostic Attack: Generating Photo-realistic Adversarial Patterns with Patch Quilting Generator
di: Gao, Xiangbo, et al.
Pubblicazione: (2022)

Localization theorems for weakly approximable triangulated categories
di: Sun, Yongliang, et al.
Pubblicazione: (2024)

Finiteness of homological dimensions in triangulated categories
di: Chen, Hongxing, et al.
Pubblicazione: (2026)

Adversarial Attacks in Weight-Space Classifiers
di: Shor, Tamir, et al.
Pubblicazione: (2025)

Rethinking Gradient-based Adversarial Attacks on Point Cloud Classification
di: Chen, Jun, et al.
Pubblicazione: (2025)

Algebraic Adversarial Attacks on Integrated Gradients
di: Simpson, Lachlan, et al.
Pubblicazione: (2024)

DRAMA-X: A Fine-grained Intent Prediction and Risk Reasoning Benchmark For Driving
di: Godbole, Mihir, et al.
Pubblicazione: (2025)

SOCIO-PSYCHOLOGICAL ISSUES OF CHANGING VALUES IN ADOLESCENTS - YOUTH IN EDUCATION
di: Aliyeva Kamila Ramiz
Pubblicazione: (2020)

Ejercicios de macroeconomía / Antonio Arganoña Ramiz, José Antonio García Dur n de Lara
di: Argandoña Ramiz, Antonio

Enhancing Output Diversity Improves Conjugate Gradient-based Adversarial Attacks
di: Yamamura, Keiichiro, et al.
Pubblicazione: (2024)

Weighted-Sampling Audio Adversarial Example Attack
di: Liu, Xiaolei, et al.
Pubblicazione: (2019)

Data Augmentation for Continual RL via Adversarial Gradient Episodic Memory
di: Wu, Sihao, et al.
Pubblicazione: (2024)

Robust Deep Reinforcement Learning in Robotics via Adaptive Gradient-Masked Adversarial Attacks
di: Zhang, Zongyuan, et al.
Pubblicazione: (2025)

Enhancing Adversarial Transferability with Adversarial Weight Tuning
di: Chen, Jiahao, et al.
Pubblicazione: (2024)

ALA: Naturalness-aware Adversarial Lightness Attack
di: Huang, Yihao, et al.
Pubblicazione: (2022)

Learning Clustering-based Prototypes for Compositional Zero-shot Learning
di: Qu, Hongyu, et al.
Pubblicazione: (2025)

PIG: Privacy Jailbreak Attack on LLMs via Gradient-based Iterative In-Context Optimization
di: Wang, Yidan, et al.
Pubblicazione: (2025)

IGA Laplace Eigenfrequencies Distributions and Estimations: Impact of Reparametrization on Eigenfrequency Behavior
di: Noureddine, Lamsahel, et al.
Pubblicazione: (2025)

The Optimal Management Strategy for IGA Nephropathy Patients With Different Clinical Presentations
di: Savas Ozturk, et al.
Pubblicazione: (2026)

Iterative Adversarial Attack on Image-guided Story Ending Generation
di: Wang, Youze, et al.
Pubblicazione: (2023)

Towards a Unified Method for Network Dynamic via Adversarial Weighted Link Prediction
di: Qin, Meng
Pubblicazione: (2024)