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cs.LG2026
Scaling Novel Graph Generation via Lightweight Structure-Guided Autoregressive Models
Alessio Barboni, Massimiliano Lupo Pasini, Bishal Lakha +1
Generating realistic and diverse graphs is a key problem in machine learning, with applications in molecular discovery, circuit design, cybersecurity, and beyond. However, current…
cs.LG2024
GenFighter: A Generative and Evolutive Textual Attack Removal
Md Athikul Islam, Edoardo Serra, Sushil Jajodia
Adversarial attacks pose significant challenges to deep neural networks (DNNs) such as Transformer models in natural language processing (NLP). This paper introduces a novel defens…