Showing 1–14 of 14 results
/ Date/ Name
Jun 3, 2023Can Directed Graph Neural Networks be Adversarially Robust?Aug 29, 2024HLogformer: A Hierarchical Transformer for Representing Log DataOct 30, 2024ProTransformer: Robustify Transformers via Plug-and-Play ParadigmFeb 2, 2025Boosting Adversarial Robustness and Generalization with Structural PriorOct 30, 2025Fine-Grained Iterative Adversarial Attacks with Limited Computation BudgetOct 6, 2024Robustness Reprogramming for Representation LearningNov 1, 2024Certified Robustness for Deep Equilibrium Models via Serialized Random SmoothingJul 16, 2023Automated Polynomial Filter Learning for Graph Neural NetworksDec 20, 2024Post-hoc Interpretability Illumination for Scientific Interaction DiscoveryJun 18, 2025Modulated Diffusion: Accelerating Generative Modeling with Modulated QuantizationNov 25, 2023Robust Graph Neural Networks via Unbiased AggregationJul 22, 2025Awakening LLMs' Reasoning Potential: A Fine-Grained Pipeline to Evaluate and Mitigate Vague PerceptionMay 21, 2024Equivariant Spatio-Temporal Attentive Graph Networks to Simulate Physical DynamicsNov 5, 2024Exploring the Potentials and Challenges of Using Large Language Models for the Analysis of Transcriptional Regulation of Long Non-coding RNAs