activity
20132022
most citedA Prompting-based Approach for Adversarial Example Generation and Robustness Enhancement

4 citations · 9 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CL2022★ 4 cited

A Prompting-based Approach for Adversarial Example Generation and Robustness Enhancement

Yuting Yang, Pei Huang, Juan Cao +5

Recent years have seen the wide application of NLP models in crucial areas such as finance, medical treatment, and news media, raising concerns of the model robustness and vulnerab…

cs.CL2022★ 1 cited

Quantifying Robustness to Adversarial Word Substitutions

Yuting Yang, Pei Huang, FeiFei Ma +4

Deep-learning-based NLP models are found to be vulnerable to word substitution perturbations. Before they are widely adopted, the fundamental issues of robustness need to be addres…

cs.AI2021★ 1 cited

Can Graph Neural Networks Learn to Solve MaxSAT Problem?

Minghao Liu, Fuqi Jia, Pei Huang +5

With the rapid development of deep learning techniques, various recent work has tried to apply graph neural networks (GNNs) to solve NP-hard problems such as Boolean Satisfiability…

cs.LG2021

ε-weakened Robustness of Deep Neural Networks

Pei Huang, Yuting Yang, Minghao Liu +3

This paper introduces a notation of -weakened robustness for analyzing the reliability and stability of deep neural networks (DNNs). Unlike the conventional robustness…

cs.DS2018

On the Fixed-Parameter Tractability of Some Matching Problems Under the Color-Spanning Model

Sergey Bereg, Feifei Ma, Wencheng Wang +2

Given a set of points in the plane, each colored with one of the given colors, a color-spanning set is a subset of points with distinct colors. The min…

cs.AI2017

A New Probabilistic Algorithm for Approximate Model Counting

Cunjing Ge, Feifei Ma, Tian Liu +1

Constrained counting is important in domains ranging from artificial intelligence to software analysis. There are already a few approaches for counting models over various types of…

cs.AI2015

A Tool for Computing and Estimating the Volume of the Solution Space of SMT(LA)

Cunjing Ge, Feifei Ma, Jian Zhang

There are already quite a few tools for solving the Satisfiability Modulo Theories (SMT) problems. In this paper, we present \texttt{VolCE}, a tool for counting the solutions of SM…

cs.CG2013★ 3 cited

A Fast and Practical Method to Estimate Volumes of Convex Polytopes

Cunjing Ge, Feifei Ma, Jian Zhang

The volume is an important attribute of a convex body. In general, it is quite difficult to calculate the exact volume. But in many cases, it suffices to have an approximate value.…