:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Razmi, Fereshteh, Xiong, Li
Format:	Preprint
Published:	2021
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2108.04206
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Practical Poisoning Attacks against Retrieval-Augmented Generation
by: Zhang, Baolei, et al.
Published: (2025)

Adaptive Graph Auto-Encoder for General Data Clustering
by: Li, Xuelong, et al.
Published: (2020)

Benchmarking Poisoning Attacks against Retrieval-Augmented Generation
by: Zhang, Baolei, et al.
Published: (2025)

Hidden State Poisoning Attacks against Mamba-based Language Models
by: Mercier, Alexandre Le, et al.
Published: (2026)

Self-Distilled Masked Auto-Encoders are Efficient Video Anomaly Detectors
by: Ristea, Nicolae-Catalin, et al.
Published: (2023)

Are LLM-Enhanced Graph Neural Networks Robust against Poisoning Attacks?
by: Ma, Yuhang, et al.
Published: (2026)

Secure Retrieval-Augmented Generation against Poisoning Attacks
by: Cheng, Zirui, et al.
Published: (2025)

Enhancing the Antidote: Improved Pointwise Certifications against Poisoning Attacks
by: Liu, Shijie, et al.
Published: (2023)

Model Stealing Attack against Graph Classification with Authenticity, Uncertainty and Diversity
by: Zhu, Zhihao, et al.
Published: (2023)

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

Adversarial Bias: Data Poisoning Attacks on Fairness
by: Chan, Eunice, et al.
Published: (2025)

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

A Data-Driven Defense against Edge-case Model Poisoning Attacks on Federated Learning
by: Purohit, Kiran, et al.
Published: (2023)

GFCL: A GRU-based Federated Continual Learning Framework against Data Poisoning Attacks in IoV
by: Talpur, Anum, et al.
Published: (2022)

Grimm: A Plug-and-Play Perturbation Rectifier for Graph Neural Networks Defending against Poisoning Attacks
by: Liu, Ao, et al.
Published: (2024)

Generating Poisoning Attacks against Ridge Regression Models with Categorical Features
by: Guedes-Ayala, Monse, et al.
Published: (2025)

Partner in Crime: Boosting Targeted Poisoning Attacks against Federated Learning
by: Sun, Shihua, et al.
Published: (2024)

Deterministic Certification of Graph Neural Networks against Graph Poisoning Attacks with Arbitrary Perturbations
by: Li, Jiate, et al.
Published: (2025)

Discrete Graph Auto-Encoder
by: Boget, Yoann, et al.
Published: (2023)

Differential Informed Auto-Encoder
by: Zhang, Jinrui
Published: (2024)

Are Targeted Data Poisoning Attacks as Effective as We Think?
by: Xu, William, et al.
Published: (2025)

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

Have You Poisoned My Data? Defending Neural Networks against Data Poisoning
by: De Gaspari, Fabio, et al.
Published: (2024)

Voice Conversion with Diverse Intonation using Conditional Variational Auto-Encoder
by: Suh, Soobin, et al.
Published: (2025)

AdvLogo: Adversarial Patch Attack against Object Detectors based on Diffusion Models
by: Miao, Boming, et al.
Published: (2024)

Safety-Efficacy Trade Off: Robustness against Data-Poisoning
by: Granziol, Diego
Published: (2026)

Variational Graph Auto-Encoder Based Inductive Learning Method for Semi-Supervised Classification
by: Yang, Hanxuan, et al.
Published: (2024)

Impact of Data Poisoning Attacks on Feasibility and Optimality of Neural Power System Optimizers
by: Agah, Nora, et al.
Published: (2025)

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

Meta Stackelberg Game: Robust Federated Learning against Adaptive and Mixed Poisoning Attacks
by: Li, Tao, et al.
Published: (2024)

KAE: Kolmogorov-Arnold Auto-Encoder for Representation Learning
by: Yu, Fangchen, et al.
Published: (2024)

Universal Black-Box Reward Poisoning Attack against Offline Reinforcement Learning
by: Xu, Yinglun, et al.
Published: (2024)

Two Heads Are Better than One: Model-Weight and Latent-Space Analysis for Federated Learning on Non-iid Data against Poisoning Attacks
by: Lyu, Xingyu, et al.
Published: (2025)

Exact Certification of Data-Poisoning Attacks Using Mixed-Integer Programming
by: Sosnin, Philip, et al.
Published: (2026)

CLARAE: Clarity Preserving Reconstruction AutoEncoder for Denoising and Rhythm Classification of Intracardiac Electrograms
by: Lin, Long, et al.
Published: (2025)

SOSAE: Self-Organizing Sparse AutoEncoder
by: Modi, Sarthak Ketanbhai, et al.
Published: (2025)

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

Logits Poisoning Attack in Federated Distillation
by: Tang, Yuhan, et al.
Published: (2024)

Exploiting Meta-Learning-based Poisoning Attacks for Graph Link Prediction
by: Li, Mingchen, et al.
Published: (2025)