Imagen de Portada

Hiding Backdoors within Event Sequence Data via Poisoning Attacks

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Ermilova, Alina, Kovtun, Elizaveta, Berestnev, Dmitry, Zaytsev, Alexey
Formato:	Preprint
Publicado:	2023
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

SleeperNets: Universal Backdoor Poisoning Attacks Against Reinforcement Learning Agents
por: Rathbun, Ethan, et al.
Publicado: (2024)

Designing an attack-defense game: how to increase robustness of financial transaction models via a competition
por: Zaytsev, Alexey, et al.
Publicado: (2023)

Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks
por: Gosch, Lukas, et al.
Publicado: (2024)

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

Backdoor Attacks in Peer-to-Peer Federated Learning
por: Syros, Georgios, et al.
Publicado: (2023)

Provable Watermarking for Data Poisoning Attacks
por: Zhu, Yifan, et al.
Publicado: (2025)

Backdoor Learning Curves: Explaining Backdoor Poisoning Beyond Influence Functions
por: Cinà, Antonio Emanuele, et al.
Publicado: (2021)

Indiscriminate Data Poisoning Attacks on Neural Networks
por: Lu, Yiwei, et al.
Publicado: (2022)

Winter Soldier: Backdooring Language Models at Pre-Training with Indirect Data Poisoning
por: Bouaziz, Wassim, et al.
Publicado: (2025)

CorruptEncoder: Data Poisoning based Backdoor Attacks to Contrastive Learning
por: Zhang, Jinghuai, et al.
Publicado: (2022)

State Backdoor: Towards Stealthy Real-world Poisoning Attack on Vision-Language-Action Model in State Space
por: Guo, Ji, et al.
Publicado: (2026)

Inverting Gradient Attacks Makes Powerful Data Poisoning
por: Bouaziz, Wassim, et al.
Publicado: (2024)

CatBack: Universal Backdoor Attacks on Tabular Data via Categorical Encoding
por: Tajalli, Behrad, et al.
Publicado: (2025)

Thought-Transfer: Indirect Targeted Poisoning Attacks on Chain-of-Thought Reasoning Models
por: Chaudhari, Harsh, et al.
Publicado: (2026)

Backdoor Attacks on Transformers for Tabular Data: An Empirical Study
por: Pleiter, Bart, et al.
Publicado: (2023)

Beware Untrusted Simulators -- Reward-Free Backdoor Attacks in Reinforcement Learning
por: Rathbun, Ethan, et al.
Publicado: (2026)

Indiscriminate Data Poisoning Attacks on Pre-trained Feature Extractors
por: Lu, Yiwei, et al.
Publicado: (2024)

Data Poisoning Attacks in Intelligent Transportation Systems: A Survey
por: Wang, Feilong, et al.
Publicado: (2024)

Sybil-based Virtual Data Poisoning Attacks in Federated Learning
por: Zhu, Changxun, et al.
Publicado: (2025)

Poisoning Attacks to Local Differential Privacy Protocols for Trajectory Data
por: Hsu, I-Jung, et al.
Publicado: (2025)

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

BAFFLE: Hiding Backdoors in Offline Reinforcement Learning Datasets
por: Gong, Chen, et al.
Publicado: (2022)

PoisonedParrot: Subtle Data Poisoning Attacks to Elicit Copyright-Infringing Content from Large Language Models
por: Panaitescu-Liess, Michael-Andrei, et al.
Publicado: (2025)

Debiased Graph Poisoning Attack via Contrastive Surrogate Objective
por: Yoon, Kanghoon, et al.
Publicado: (2024)

Poisoned-MRAG: Knowledge Poisoning Attacks to Multimodal Retrieval Augmented Generation
por: Liu, Yinuo, et al.
Publicado: (2025)

Dynamic Black-box Backdoor Attacks on IoT Sensory Data
por: Chathoth, Ajesh Koyatan, et al.
Publicado: (2025)

Graph-Aware Stealthy Poison-Text Backdoors for Text-Attributed Graphs
por: Luo, Qi, et al.
Publicado: (2026)

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

Data Poisoning Attacks to Locally Differentially Private Range Query Protocols
por: Liao, Ting-Wei, et al.
Publicado: (2025)

Poison with Style: A Practical Poisoning Attack on Code Large Language Models
por: Tran, Khang, et al.
Publicado: (2026)

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

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

Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models
por: Wen, Yuxin, et al.
Publicado: (2024)

Devil's Hand: Data Poisoning Attacks to Locally Private Graph Learning Protocols
por: He, Longzhu, et al.
Publicado: (2025)

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

Backdoor Attacks on Decentralised Post-Training
por: Ersoy, Oğuzhan, et al.
Publicado: (2026)

GShield: Mitigating Poisoning Attacks in Federated Learning
por: M., Sameera K., et al.
Publicado: (2025)

Undetectable Backdoors in Model Parameters: Hiding Sparse Secrets in High Dimensions
por: Choudhary, Sarthak, et al.
Publicado: (2026)

Hide in Plain Sight: Clean-Label Backdoor for Auditing Membership Inference
por: Chen, Depeng, et al.
Publicado: (2024)

Wicked Oddities: Selectively Poisoning for Effective Clean-Label Backdoor Attacks
por: Nguyen, Quang H., et al.
Publicado: (2024)