activity
20242026
most citedIdentifying Backdoored Graphs in Graph Neural Network Training: An Explanation-Based Approach with Novel Metrics

3 citations · 3 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG2026

HyperFix: Combinatorial Nonlinear Correction for Task Vector Merging

Hyo Seo Kim, Ren Wang

Task vectors enable model merging without joint retraining. In practice, the subset of task vectors to be merged may vary, but many existing methods use scalar tuning for a particu…

cs.CR2026

Early Detection of Distributed Backdoors in Multi-Agent LLM Systems: A Characterization Study

Diego Fernandez Arias, Dev Prashant Mistry, Ren Wang +1

Multi-agent LLM systems can be attacked by a payload that no single agent ever holds in full: several poisoned tools each hide one encrypted fragment, spreading them across several…

cs.CR2026

When Local Monitors Miss Compositional Harm: Diagnosing Distributed Backdoors in Multi-Agent Systems

Yibo Hu, Ren Wang

As multi-agent, tool-using LLM systems are deployed, a common safety net is a runtime monitor that checks each message, tool call, or step on its own. We show this net has a fundam…

cs.CR2026

MoCo-EA: Exploiting Adversarial Mode Connectivity for Efficient Evolutionary Attacks

Hyo Seo Kim, Gang Luo, Can Chen +3

Evolutionary algorithms for adversarial attacks leverage population-based search to discover perturbations without gradient information, but suffer from inefficient crossover opera…

cs.CR2025

Watermarking Graph Neural Networks via Explanations for Ownership Protection

Jane Downer, Yingdan Shi, Ziyan Liu +2

Graph Neural Networks (GNNs) are widely deployed in industry, making their intellectual property valuable. However, protecting GNNs from unauthorized use remains a challenge. Water…

cs.LG2024★ 3 cited

Identifying Backdoored Graphs in Graph Neural Network Training: An Explanation-Based Approach with Novel Metrics

Jane Downer, Ren Wang, Binghui Wang

Graph Neural Networks (GNNs) have gained popularity in numerous domains, yet they are vulnerable to backdoor attacks that can compromise their performance and ethical application.…