Imagen de Portada

Embedding Attack Project (Work Report)

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Pu, Jiameng, Takhirov, Zafar
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning Cryptography and Security
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Defending against Backdoor Attack on Deep Neural Networks
por: Cheng, Hao, et al.
Publicado: (2020)

Salsa Fresca: Angular Embeddings and Pre-Training for ML Attacks on Learning With Errors
por: Stevens, Samuel, et al.
Publicado: (2024)

Performance Evaluation of Knowledge Graph Embedding Approaches under Non-adversarial Attacks
por: Kapoor, Sourabh, et al.
Publicado: (2024)

Inferring Sensitive Attributes from Knowledge Graph Embeddings: Attack and Defense Strategies
por: Hayder, Yasmine
Publicado: (2026)

Hard Work Does Not Always Pay Off: Poisoning Attacks on Neural Architecture Search
por: Coalson, Zachary, et al.
Publicado: (2024)

EmInspector: Combating Backdoor Attacks in Federated Self-Supervised Learning Through Embedding Inspection
por: Qian, Yuwen, et al.
Publicado: (2024)

EC-LDA : Label Distribution Inference Attack against Federated Graph Learning with Embedding Compression
por: Cheng, Tong, et al.
Publicado: (2025)

Preventing the Popular Item Embedding Based Attack in Federated Recommendations
por: Zhang, Jun, et al.
Publicado: (2025)

Black-box Adversarial Transferability: An Empirical Study in Cybersecurity Perspective
por: Roshan, Khushnaseeb, et al.
Publicado: (2024)

Practicable Black-box Evasion Attacks on Link Prediction in Dynamic Graphs -- A Graph Sequential Embedding Method
por: Li, Jiate, et al.
Publicado: (2024)

Untargeted Adversarial Attack on Knowledge Graph Embeddings
por: Zhao, Tianzhe, et al.
Publicado: (2024)

Attacking LLMs and AI Agents: Advertisement Embedding Attacks Against Large Language Models
por: Guo, Qiming, et al.
Publicado: (2025)

Transferable Embedding Inversion Attack: Uncovering Privacy Risks in Text Embeddings without Model Queries
por: Huang, Yu-Hsiang, et al.
Publicado: (2024)

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

FedRecAttack: Model Poisoning Attack to Federated Recommendation
por: Rong, Dazhong, et al.
Publicado: (2022)

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

Attack and Defense of Deep Learning Models in the Field of Web Attack Detection
por: Shi, Lijia, et al.
Publicado: (2024)

Attack Smarter: Attention-Driven Fine-Grained Webpage Fingerprinting Attacks
por: Yuan, Yali, et al.
Publicado: (2025)

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

Embedding Poisoning: Bypassing Safety Alignment via Embedding Semantic Shift
por: Yuan, Shuai, et al.
Publicado: (2025)

AttackLLM: LLM-based Attack Pattern Generation for an Industrial Control System
por: Ahmed, Chuadhry Mujeeb
Publicado: (2025)

Enhancing Adversarial Text Attacks on BERT Models with Projected Gradient Descent
por: Waghela, Hetvi, et al.
Publicado: (2024)

Adaptive Attacks Break Defenses Against Indirect Prompt Injection Attacks on LLM Agents
por: Zhan, Qiusi, et al.
Publicado: (2025)

Odysseus: Jailbreaking Commercial Multimodal LLM-integrated Systems via Dual Steganography
por: Li, Songze, et al.
Publicado: (2025)

Privacy Attacks in Decentralized Learning
por: Mrini, Abdellah El, et al.
Publicado: (2024)

Model Extraction Attacks Revisited
por: Liang, Jiacheng, et al.
Publicado: (2023)

Imitative Membership Inference Attack
por: Du, Yuntao, et al.
Publicado: (2025)

Attacks on fairness in Federated Learning
por: Rance, Joseph, et al.
Publicado: (2023)

Transferable Availability Poisoning Attacks
por: Liu, Yiyong, et al.
Publicado: (2023)

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

SecureLearn -- An Attack-agnostic Defense for Multiclass Machine Learning Against Data Poisoning Attacks
por: Paracha, Anum, et al.
Publicado: (2025)

Efficient and Adaptable Detection of Malicious LLM Prompts via Bootstrap Aggregation
por: Hassan, Shayan Ali, et al.
Publicado: (2026)

A User-Centric, Privacy-Preserving, and Verifiable Ecosystem for Personal Data Management and Utilization
por: Zafar, Osama, et al.
Publicado: (2025)

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

Persistent Backdoor Attacks in Continual Learning
por: Guo, Zhen, et al.
Publicado: (2024)

ADVENT: Attack/Anomaly Detection in VANETs
por: Baharlouei, Hamideh, et al.
Publicado: (2024)

On the Efficiency of Privacy Attacks in Federated Learning
por: Tabassum, Nawrin, et al.
Publicado: (2024)

Model Hijacking Attack in Federated Learning
por: Li, Zheng, et al.
Publicado: (2024)

Vera Verto: Multimodal Hijacking Attack
por: Zhang, Minxing, et al.
Publicado: (2024)

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