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cs.CR2026
TopFeaRe: Locating Critical State of Adversarial Resilience for Graphs Regarding Topology-Feature Entanglement
Xinxin Fan, Wenxiong Chen, Quanliang Jing +4
Graph adversarial attacks are usually produced from the two perspectives of topology/structure and node feature, both of them represent the paramount characteristics learned by tod…
cs.LG2026
CAMA: Exploring Collusive Adversarial Attacks in c-MARL
Men Niu, Xinxin Fan, Quanliang Jing +2
Cooperative multi-agent reinforcement learning (c-MARL) has been widely deployed in real-world applications, such as social robots, embodied intelligence, UAV swarms, etc. Neverthe…