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Home/Authors/Xiao Yang

Xiao Yang

5 indexed papers

Recent (6 mo)
5
With code
0
Influential cites
0
Benchmarked
0

Publications per year

5
26

Top categories

AI×4Crypto×4ML×3NLP×2Vision×2Logic×1

Frequent co-authors

Dongrui Liu2×
Yu Li2×
Zhonghao Yang2×
Peng Wang2×
Guanxu Chen2×
Yuejin Xie2×

Research Timeline

2026
Toward Polymorphic Backdoor against Semantic Communication via Intensity-Based Poisoning

The paper proposes SemBugger, a polymorphic backdoor attack that uses intensity-based poisoning to achieve diverse malicious outcomes in Semantic Communication (SC) systems, alongside a provable defense mechanism.

Zero-Knowledge Model Checking

The paper presents a novel technology that uses zero-knowledge proofs to formally verify a software system's correctness against a public specification without revealing the system's internal details.

Return-to-Go Is More Than a Number: Q-Guided Alignment for Return-Conditioned Supervised Learning

The paper introduces Q-ALIGN DT, a novel framework that improves conditioned sequence models by enforcing alignment between the input return-to-go (RTG) signal and the output policy's expected Q-value, leading to superior policy controllability and performance.

AgentDoG 1.5: A Lightweight and Scalable Alignment Framework for AI Agent Safety and Security

The paper introduces AgentDoG 1.5, a lightweight and scalable alignment framework that significantly improves AI agent safety and security for complex, open-world agentic scenarios.

AgentDoG 1.5: A Lightweight and Scalable Alignment Framework for AI Agent Safety and Security

The paper introduces AgentDoG 1.5, a lightweight and scalable alignment framework that significantly improves AI agent safety and security for complex open-world agent deployments.

Highlighted terms show continued research focus across papers

Papers

cs.AIcs.CLcs.CRRecentMay 28, 2026

AgentDoG 1.5: A Lightweight and Scalable Alignment Framework for AI Agent Safety and Security

Dongrui Liu, Yu Li, Zhonghao Yang, Peng Wang +46 more

The paper introduces AgentDoG 1.5, a lightweight and scalable alignment framework that significantly improves AI agent safety and security for complex, open-world agentic scenarios.

View →
cs.AIcs.CLcs.CRRecentMay 28, 2026

AgentDoG 1.5: A Lightweight and Scalable Alignment Framework for AI Agent Safety and Security

Dongrui Liu, Yu Li, Zhonghao Yang, Peng Wang +46 more

The paper introduces AgentDoG 1.5, a lightweight and scalable alignment framework that significantly improves AI agent safety and security for complex open-world agent deployments.

View →
cs.LGcs.AIRecentMay 27, 2026

Return-to-Go Is More Than a Number: Q-Guided Alignment for Return-Conditioned Supervised Learning

Yuxiao Yang, Weitong Zhang

The paper introduces Q-ALIGN DT, a novel framework that improves conditioned sequence models by enforcing alignment between the input return-to-go (RTG) signal and the output policy's expected Q-value…

View →
cs.CRcs.LORecentMay 1, 2026

Zero-Knowledge Model Checking

Pascal Berrang, Mirco Giacobbe, Jacob Swales, Xiao Yang

The paper presents a novel technology that uses zero-knowledge proofs to formally verify a software system's correctness against a public specification without revealing the system's internal details.

View →
cs.CRcs.AIRecentApr 25, 2026

Toward Polymorphic Backdoor against Semantic Communication via Intensity-Based Poisoning

Xiao Yang, Yuni Lai, Gaolei Li, Jun Wu +3 more

The paper proposes SemBugger, a polymorphic backdoor attack that uses intensity-based poisoning to achieve diverse malicious outcomes in Semantic Communication (SC) systems, alongside a provable defen…

View →