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30 papers · 1 filter
Differentiable Logic Programming to Mitigate Reasoning Shortcuts in Neurosymbolic Systems
Akihiro Takemura, Katsumi Inoue
Neurosymbolic (NeSy) systems integrate neural networks with logical reasoning to achieve both generalization and interpretability, but recent work has shown they are susceptible to…
Formally Explaining Decision Tree Models with Answer Set Programming
Akihiro Takemura, Masayuki Otani, Katsumi Inoue
Decision tree models, including random forests and gradient-boosted decision trees, are widely used in machine learning due to their high predictive performance. However, their com…
Chronology of Multi-Agent Interactions for Provenance of Evolving Information
Ching-Chun Chang, Isao Echizen
Provenance is the chronological history of things, resonating with the fundamental pursuit to uncover origins, trace connections, and situate entities within the flow of space and…
Imitation Game for Adversarial Disillusion with Chain-of-Thought Reasoning in Generative AI
Ching-Chun Chang, Fan-Yun Chen, Shih-Hong Gu +3
As the cornerstone of artificial intelligence, machine perception confronts a fundamental threat posed by adversarial illusions. These adversarial attacks manifest in two primary f…
Steganography in Game Actions
Ching-Chun Chang, Isao Echizen
The exchange of messages has always carried with it the timeless challenge of secrecy. From whispers in shadows to the enigmatic notes written in the margins of history, humanity h…
Generating Global and Local Explanations for Tree-Ensemble Learning Methods by Answer Set Programming
Akihiro Takemura, Katsumi Inoue
We propose a method for generating rule sets as global and local explanations for tree-ensemble learning methods using Answer Set Programming (ASP). To this end, we adopt a decompo…