75 citations · 76 across the 7 of their papers we have counts for
10 papers
FAROS: Robust Federated Learning with Adaptive Scaling against Backdoor Attacks
Chenyu Hu, Qiming Hu, Sinan Chen +3
Federated Learning (FL) enables multiple clients to collaboratively train a shared model without exposing local data. However, backdoor attacks pose a significant threat to FL. The…
Graph Contextual Reinforcement Learning for Efficient Directed Controller Synthesis
Toshihide Ubukata, Enhong Mu, Takuto Yamauchi +3
Controller synthesis is a formal method approach for automatically generating Labeled Transition System (LTS) controllers that satisfy specified properties. The efficiency of the s…
Synergizing Code Coverage and Gameplay Intent: Coverage-Aware Game Playtesting with LLM-Guided Reinforcement Learning
Enhong Mu, Minami Yoda, Yan Zhang +3
The widespread adoption of the "Games as a Service" model necessitates frequent content updates, placing immense pressure on quality assurance. In response, automated game testing…
Generative AI for Self-Adaptive Systems: State of the Art and Research Roadmap
Jialong Li, Mingyue Zhang, Nianyu Li +3
Self-adaptive systems (SASs) are designed to handle changes and uncertainties through a feedback loop with four core functionalities: monitoring, analyzing, planning, and execution…
SAGE: Semantic-Aware Gray-Box Game Regression Testing with Large Language Models
Jinyu Cai, Jialong Li, Nianyu Li +3
The rapid iteration cycles of modern live-service games make regression testing indispensable for maintaining quality and stability. However, existing regression testing approaches…
Knowledge Graph-enhanced Large Language Model for Incremental Game PlayTesting
Enhong Mu, Jinyu Cai, Yijun Lu +3
The rapid iteration and frequent updates of modern video games pose significant challenges to the efficiency and specificity of testing. Although automated playtesting methods base…
Simulation of Language Evolution under Regulated Social Media Platforms: A Synergistic Approach of Large Language Models and Genetic Algorithms
Jinyu Cai, Yusei Ishimizu, Mingyue Zhang +3
Social media platforms frequently impose restrictive policies to moderate user content, prompting the emergence of creative evasion language strategies. This paper presents a multi…
Language Evolution for Evading Social Media Regulation via LLM-based Multi-agent Simulation
Jinyu Cai, Jialong Li, Mingyue Zhang +3
Social media platforms such as Twitter, Reddit, and Sina Weibo play a crucial role in global communication but often encounter strict regulations in geopolitically sensitive region…
User-Driven Adaptation: Tailoring Autonomous Driving Systems with Dynamic Preferences
Mingyue Zhang, Jialong Li, Nianyu Li +2
In the realm of autonomous vehicles, dynamic user preferences are critical yet challenging to accommodate. Existing methods often misrepresent these preferences, either by overlook…
Exploring the Potential of Large Language Models in Self-adaptive Systems
Jialong Li, Mingyue Zhang, Nianyu Li +3
Large Language Models (LLMs), with their abilities in knowledge acquisition and reasoning, can potentially enhance the various aspects of Self-adaptive Systems (SAS). Yet, the pote…