Saved in:
| Main Authors: | Styborski, Jeremy, Lyu, Mingzhi, Lu, Jiayou, Kapur, Nupur, Kong, Adams |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2507.10578 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Rethinking Model Inversion Attacks With Patch-Wise Reconstruction
by: Jang, Jonggyu, et al.
Published: (2023)
by: Jang, Jonggyu, et al.
Published: (2023)
Robust Watermarking Using Generative Priors Against Image Editing: From Benchmarking to Advances
by: Lu, Shilin, et al.
Published: (2024)
by: Lu, Shilin, et al.
Published: (2024)
Turning Generative Models Degenerate: The Power of Data Poisoning Attacks
by: Jiang, Shuli, et al.
Published: (2024)
by: Jiang, Shuli, et al.
Published: (2024)
CBPF: Filtering Poisoned Data Based on Composite Backdoor Attack
by: Xia, Hanfeng, et al.
Published: (2024)
by: Xia, Hanfeng, et al.
Published: (2024)
When the Manual Lies: A Realistic Benchmark to Evaluate MCP Poisoning Attacks for LLM Agents
by: Liu, Shi, et al.
Published: (2026)
by: Liu, Shi, et al.
Published: (2026)
Precision Guided Approach to Mitigate Data Poisoning Attacks in Federated Learning
by: Kumar, K Naveen, et al.
Published: (2024)
by: Kumar, K Naveen, et al.
Published: (2024)
Vulnerabilities in AI Code Generators: Exploring Targeted Data Poisoning Attacks
by: Cotroneo, Domenico, et al.
Published: (2023)
by: Cotroneo, Domenico, et al.
Published: (2023)
Attention Is Where You Attack
by: Srivastava, Aviral, et al.
Published: (2026)
by: Srivastava, Aviral, et al.
Published: (2026)
Poison Once, Exploit Forever: Environment-Injected Memory Poisoning Attacks on Web Agents
by: Zou, Wei, et al.
Published: (2026)
by: Zou, Wei, et al.
Published: (2026)
CL-Attack: Textual Backdoor Attacks via Cross-Lingual Triggers
by: Zheng, Jingyi, et al.
Published: (2024)
by: Zheng, Jingyi, et al.
Published: (2024)
LoopTrap: Termination Poisoning Attacks on LLM Agents
by: Xu, Huiyu, et al.
Published: (2026)
by: Xu, Huiyu, et al.
Published: (2026)
Invisible Textual Backdoor Attacks based on Dual-Trigger
by: Hou, Yang, et al.
Published: (2024)
by: Hou, Yang, et al.
Published: (2024)
Robustness Analysis of Machine Learning Models for IoT Intrusion Detection Under Data Poisoning Attacks
by: Wulnye, Fortunatus Aabangbio, et al.
Published: (2026)
by: Wulnye, Fortunatus Aabangbio, et al.
Published: (2026)
Machine Unlearning Fails to Remove Data Poisoning Attacks
by: Pawelczyk, Martin, et al.
Published: (2024)
by: Pawelczyk, Martin, et al.
Published: (2024)
Data Poisoning Attacks on Off-Policy Policy Evaluation Methods
by: Lobo, Elita, et al.
Published: (2024)
by: Lobo, Elita, et al.
Published: (2024)
Defending Against Beta Poisoning Attacks in Machine Learning Models
by: Gulciftci, Nilufer, et al.
Published: (2025)
by: Gulciftci, Nilufer, et al.
Published: (2025)
Human-Imperceptible Retrieval Poisoning Attacks in LLM-Powered Applications
by: Zhang, Quan, et al.
Published: (2024)
by: Zhang, Quan, et al.
Published: (2024)
Defending Against Weight-Poisoning Backdoor Attacks for Parameter-Efficient Fine-Tuning
by: Zhao, Shuai, et al.
Published: (2024)
by: Zhao, Shuai, et al.
Published: (2024)
Model Inversion Attack against Federated Unlearning
by: Zhou, Lei, et al.
Published: (2025)
by: Zhou, Lei, et al.
Published: (2025)
PIDP-Attack: Combining Prompt Injection with Database Poisoning Attacks on Retrieval-Augmented Generation Systems
by: Wang, Haozhen, et al.
Published: (2026)
by: Wang, Haozhen, et al.
Published: (2026)
A Set of Generalized Components to Achieve Effective Poison-only Clean-label Backdoor Attacks with Collaborative Sample Selection and Triggers
by: Wu, Zhixiao, et al.
Published: (2025)
by: Wu, Zhixiao, et al.
Published: (2025)
FIDELIS: Blockchain-Enabled Protection Against Poisoning Attacks in Federated Learning
by: Carney, Jane, et al.
Published: (2025)
by: Carney, Jane, et al.
Published: (2025)
Dual Defense: Enhancing Privacy and Mitigating Poisoning Attacks in Federated Learning
by: Xu, Runhua, et al.
Published: (2025)
by: Xu, Runhua, et al.
Published: (2025)
Hidden in the Metadata: Stealth Poisoning Attacks on Multimodal Retrieval-Augmented Generation
by: Edemacu, Kennedy, et al.
Published: (2026)
by: Edemacu, Kennedy, et al.
Published: (2026)
Nightshade: Prompt-Specific Poisoning Attacks on Text-to-Image Generative Models
by: Shan, Shawn, et al.
Published: (2023)
by: Shan, Shawn, et al.
Published: (2023)
FedCC: Robust Federated Learning against Model Poisoning Attacks
by: Jeong, Hyejun, et al.
Published: (2022)
by: Jeong, Hyejun, et al.
Published: (2022)
Knowledge Poisoning Attacks on Medical Multi-Modal Retrieval-Augmented Generation
by: Yang, Peiru, et al.
Published: (2026)
by: Yang, Peiru, et al.
Published: (2026)
Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models
by: Xu, Yuancheng, et al.
Published: (2024)
by: Xu, Yuancheng, et al.
Published: (2024)
One Shot Dominance: Knowledge Poisoning Attack on Retrieval-Augmented Generation Systems
by: Chang, Zhiyuan, et al.
Published: (2025)
by: Chang, Zhiyuan, et al.
Published: (2025)
BadSkill: Backdoor Attacks on Agent Skills via Model-in-Skill Poisoning
by: Tie, Guiyao, et al.
Published: (2026)
by: Tie, Guiyao, et al.
Published: (2026)
Concept-Aware Privacy Mechanisms for Defending Embedding Inversion Attacks
by: Tsai, Yu-Che, et al.
Published: (2026)
by: Tsai, Yu-Che, et al.
Published: (2026)
Data Poisoning in Deep Learning: A Survey
by: Zhao, Pinlong, et al.
Published: (2025)
by: Zhao, Pinlong, et al.
Published: (2025)
System Prompt Poisoning: Persistent Attacks on Large Language Models Beyond User Injection
by: Li, Zongze, et al.
Published: (2025)
by: Li, Zongze, et al.
Published: (2025)
Joint-GCG: Unified Gradient-Based Poisoning Attacks on Retrieval-Augmented Generation Systems
by: Wang, Haowei, et al.
Published: (2025)
by: Wang, Haowei, et al.
Published: (2025)
Unraveling the Connections between Privacy and Certified Robustness in Federated Learning Against Poisoning Attacks
by: Xie, Chulin, et al.
Published: (2022)
by: Xie, Chulin, et al.
Published: (2022)
ALGEN: Few-shot Inversion Attacks on Textual Embeddings using Alignment and Generation
by: Chen, Yiyi, et al.
Published: (2025)
by: Chen, Yiyi, et al.
Published: (2025)
GUIDE: Enhancing Gradient Inversion Attacks in Federated Learning with Denoising Models
by: Carletti, Vincenzo, et al.
Published: (2025)
by: Carletti, Vincenzo, et al.
Published: (2025)
Federated Learning under Attack: Improving Gradient Inversion for Batch of Images
by: Leite, Luiz, et al.
Published: (2024)
by: Leite, Luiz, et al.
Published: (2024)
Virus Infection Attack on LLMs: Your Poisoning Can Spread "VIA" Synthetic Data
by: Liang, Zi, et al.
Published: (2025)
by: Liang, Zi, et al.
Published: (2025)
SAFELOC: Overcoming Data Poisoning Attacks in Heterogeneous Federated Machine Learning for Indoor Localization
by: Singampalli, Akhil, et al.
Published: (2024)
by: Singampalli, Akhil, et al.
Published: (2024)
Similar Items
-
Rethinking Model Inversion Attacks With Patch-Wise Reconstruction
by: Jang, Jonggyu, et al.
Published: (2023) -
Robust Watermarking Using Generative Priors Against Image Editing: From Benchmarking to Advances
by: Lu, Shilin, et al.
Published: (2024) -
Turning Generative Models Degenerate: The Power of Data Poisoning Attacks
by: Jiang, Shuli, et al.
Published: (2024) -
CBPF: Filtering Poisoned Data Based on Composite Backdoor Attack
by: Xia, Hanfeng, et al.
Published: (2024) -
When the Manual Lies: A Realistic Benchmark to Evaluate MCP Poisoning Attacks for LLM Agents
by: Liu, Shi, et al.
Published: (2026)