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Wansheng Wu

dblp:295/8328 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2026
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Network and information security
1 paper
Network security · 100%
Artificial intelligence
1 paper
Multi-agent systems · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Network security
covert channel
1.012026
Whispering Agents: A Event-Driven Covert Communication Protocol for the Internet of Agents · AAAI 2026
Network security
traffic analysis
1.012026
Whispering Agents: A Event-Driven Covert Communication Protocol for the Internet of Agents · AAAI 2026
Network security › anonymity networks
traffic analysis resistance
1.012026
Whispering Agents: A Event-Driven Covert Communication Protocol for the Internet of Agents · AAAI 2026
Knowledge, reasoning and agents › Multi-agent systems
agent communication
0.312026
Whispering Agents: A Event-Driven Covert Communication Protocol for the Internet of Agents · AAAI 2026

Methods — techniques the papers use, named apart from their topics

event-driven communication · 2.0LLM-based warden · 2.0
YearPublicationVenuePosition
2026 Whispering Agents: A Event-Driven Covert Communication Protocol for the Internet of Agents
abstract
The emergence of the Internet of Agents (IoA) introduces critical challenges for communication privacy in sensitive, high-stakes domains. While standard Agent-to-Agent (A2A) protocols secure message content, they are not designed to protect the act of communication itself, leaving agents vulnerable to surveillance and traffic analysis. We find that the rich, event-driven nature of agent dialogues provides a powerful, yet untapped, medium for covert communication. To harness this potential, we introduce and formalize the Covert Event Channel, the first unified model for agent covert communication driven by three interconnected dimensions, which consist of the Storage, Timing, and Behavioral channels. Based on this model, we design and engineer Pi-CCAP, a novel protocol that operationalizes this event-driven paradigm. Our comprehensive evaluation demonstrates that Pi-CCAP achieves high capacity and robustness while remaining imperceptible to powerful LLM-based wardens, establishing its practical viability. By systematically engineering this channel, our work provides the foundational understanding essential for developing the next generation of monitoring systems and defensive protocols for a secure and trustworthy IoA.
Kaibo Huang, Yukun Wei, Wansheng Wu, Tianhua Zhang, Zhongliang Yang, Linna Zhou
AAAI3