2 citations · 4 across the 6 of their papers we have counts for
6 papers
Governing Execution Risk in Agentic AI Systems: A Trajectory-Guided Framework for Red Teaming
Zhihao Zhu, Yi Yang
AI agents are increasingly embedded in organizational workflows, where they interact with external information sources and invoke digital tools to perform operational tasks. As org…
Adaptive Sampled Softmax with Inverted Multi-Index: Methods, Theory and Applications
Jin Chen, Jin Zhang, Xu huang +3
The softmax function is a cornerstone of multi-class classification, integral to a wide range of machine learning applications, from large-scale retrieval and ranking models to adv…
TDDBench: A Benchmark for Training data detection
Zhihao Zhu, Yi Yang, Defu Lian
Training Data Detection (TDD) is a task aimed at determining whether a specific data instance is used to train a machine learning model. In the computer security literature, TDD is…
Understanding Privacy Risks of Embeddings Induced by Large Language Models
Zhihao Zhu, Ninglu Shao, Defu Lian +4
Large language models (LLMs) show early signs of artificial general intelligence but struggle with hallucinations. One promising solution to mitigate these hallucinations is to sto…
Model Stealing Attack against Recommender System
Zhihao Zhu, Rui Fan, Chenwang Wu +3
Recent studies have demonstrated the vulnerability of recommender systems to data privacy attacks. However, research on the threat to model privacy in recommender systems, such as…
Model Stealing Attack against Graph Classification with Authenticity, Uncertainty and Diversity
Zhihao Zhu, Chenwang Wu, Rui Fan +4
Recent research demonstrates that GNNs are vulnerable to the model stealing attack, a nefarious endeavor geared towards duplicating the target model via query permissions. However,…