5 papers
MemVenom: Triggered Poisoning of Multimodal Memories in Web Agents
Yv Zhang, Hao Sun, Hao Fang +5
External memory has become a core component of modern web agents, enabling long-horizon reasoning through the retrieval of past experiences. However, this paradigm introduces a cri…
AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning
Jiaming Su, Tengchao Yang, Ruikang Zhang +3
Industrial anomaly generation is a crucial method for alleviating the data scarcity problem in anomaly detection tasks. Most existing anomaly synthesis methods rely on single-step…
Effective backdoor attack on graph neural networks in link prediction tasks
Jiazhu Dai, Haoyu Sun
Graph Neural Networks (GNNs) are a class of deep learning models capable of processing graph-structured data, and they have demonstrated significant performance in a variety of rea…
A Semantic and Clean-label Backdoor Attack against Graph Convolutional Networks
Jiazhu Dai, Haoyu Sun
Graph Convolutional Networks (GCNs) have shown excellent performance in graph-structured tasks such as node classification and graph classification. However, recent research has sh…
A Clean-graph Backdoor Attack against Graph Convolutional Networks with Poisoned Label Only
Jiazhu Dai, Haoyu Sun
Graph Convolutional Networks (GCNs) have shown excellent performance in dealing with various graph structures such as node classification, graph classification and other tasks. How…