Author

Anjun Hu

2 papers indexed here

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Book Open access Sep 2026

Composing Agents, Compounding Risks: A Tutorial on Robustness and Alignment in Multi-Agent Recommender Systems

Multi-agent recommender systems are emerging as a new design paradigm in which LLM-powered agents plan over context, invoke tools, exchange intermediate outputs, and maintain memory across interactions. While these compositions create new opportunities for interactive and modular recommendation, they also introduce sys...

Kurt Cutajar, Jas Kandola, Anjun Hu et al. · Proceedings of the 20th ACM... · 0 citations

#machine learning Preprint Oct 2026

Only What You've Signed up For: Secure Workflows with Constrained Diffusion Agents

As agentic AI systems take on increasingly complex and consequential tasks, securing them against prompt injection becomes critical. Existing defenses often rely on detecting or reasoning about injected malicious instructions and can therefore remain vulnerable to adaptive attacks that optimize the injection itself. Di...

Michael Cardei, Anjun Hu, Chen-Rui Ma et al. · 0 citations