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03/21/2022
A Prompting-based Approach for Adversarial Example Generation and Robustness Enhancement
Recent years have seen the wide application of NLP models in crucial are...
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01/11/2022
Quantifying Robustness to Adversarial Word Substitutions
Deep-learning-based NLP models are found to be vulnerable to word substi...
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11/15/2021
Can Graph Neural Networks Learn to Solve MaxSAT Problem?
With the rapid development of deep learning techniques, various recent w...
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10/29/2021
ε-weakened Robustness of Deep Neural Networks
This paper introduces a notation of ε-weakened robustness for analyzing ...
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12/28/2020
Counting the Number of Solutions to Constraints
Compared with constraint satisfaction problems, counting problems have r...
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09/20/2019
ACFNet: Attentional Class Feature Network for Semantic Segmentation
Recent works have made great progress in semantic segmentation by exploi...
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05/14/2018
On the Fixed-Parameter Tractability of Some Matching Problems Under the Color-Spanning Model
Given a set of n points P in the plane, each colored with one of the t g...
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06/13/2017
A New Probabilistic Algorithm for Approximate Model Counting
Constrained counting is important in domains ranging from artificial int...
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05/31/2017