activity
20202023
most citedDeep Synthetic Minority Over-Sampling Technique

29 citations · 91 across the 20 of their papers we have counts for

collaborators

20 papers

cs.SE2023★ 1 cited

An Empirical Study of AI-based Smart Contract Creation

Rabimba Karanjai, Edward Li, Lei Xu +1

The introduction of large language models (LLMs) like ChatGPT and Google Palm2 for smart contract generation seems to be the first well-established instance of an AI pair programme…

cs.CR2023★ 8 cited

Decentralized Translator of Trust: Supporting Heterogeneous TEE for Critical Infrastructure Protection

Rabimba Karanjai, Rowan Collier, Zhimin Gao +5

Trusted execution environment (TEE) technology has found many applications in mitigating various security risks in an efficient manner, which is attractive for critical infrastruct…

cs.CY2022

Detecting Conspiracy Theory Against COVID-19 Vaccines

Md Hasibul Amin, Harika Madanu, Sahithi Lavu +3

Since the beginning of the vaccination trial, social media has been flooded with anti-vaccination comments and conspiracy beliefs. As the day passes, the number of COVID- 19 cases…

cs.LG2022

Audit and Improve Robustness of Private Neural Networks on Encrypted Data

Jiaqi Xue, Lei Xu, Lin Chen +3

Performing neural network inference on encrypted data without decryption is one popular method to enable privacy-preserving neural networks (PNet) as a service. Compared with regul…

cs.CV2022

RAF: Recursive Adversarial Attacks on Face Recognition Using Extremely Limited Queries

Keshav Kasichainula, Hadi Mansourifar, Weidong Shi

Recent successful adversarial attacks on face recognition show that, despite the remarkable progress of face recognition models, they are still far behind the human intelligence fo…

cs.CY2022

Local Differential Privacy Meets Computational Social Choice -- Resilience under Voter Deletion

Liangde Tao, Lin Chen, Lei Xu +1

The resilience of a voting system has been a central topic in computational social choice. Many voting rules, like plurality, are shown to be vulnerable as the attacker can target…

cs.CL2022★ 5 cited

Counter Hate Speech in Social Media: A Survey

Dana Alsagheer, Hadi Mansourifar, Weidong Shi

With the high prevalence of offensive language against minorities in social media, counter-hate speeches (CHS) generation is considered an automatic way of tackling this challenge.…

cs.LG2021

Hate Speech Detection in Clubhouse

Hadi Mansourifar, Dana Alsagheer, Reza Fathi +3

With the rise of voice chat rooms, a gigantic resource of data can be exposed to the research community for natural language processing tasks. Moderators in voice chat rooms active…

cs.CL2021★ 1 cited

Statistical Analysis of Perspective Scores on Hate Speech Detection

Hadi Mansourifar, Dana Alsagheer, Weidong Shi +2

Hate speech detection has become a hot topic in recent years due to the exponential growth of offensive language in social media. It has proven that, state-of-the-art hate speech c…

cs.DC2021

EDSC: An Event-Driven Smart Contract Platform

Mudabbir Kaleem, Keshav Kasichainula, Rabimba Karanjai +4

This paper presents EDSC, a novel smart contract platform design based on the event-driven execution model as opposed to the traditionally employed transaction-driven execution mod…

cs.DC2021★ 9 cited

Demystifying Pythia: A Survey of ChainLink Oracles Usage on Ethereum

Mudabbir Kaleem, Weidong Shi

Smart contracts are dependent on oracle systems for their adoption and usability. We perform an empirical study of oracle systems' usage trends and adoption metrics to provide bett…

cs.CV2020★ 4 cited

ProxylessKD: Direct Knowledge Distillation with Inherited Classifier for Face Recognition

Weidong Shi, Guanghui Ren, Yunpeng Chen +1

Knowledge Distillation (KD) refers to transferring knowledge from a large model to a smaller one, which is widely used to enhance model performance in machine learning. It tries to…

cs.LG2020

Towards Stable Imbalanced Data Classification via Virtual Big Data Projection

Hadi Mansourifar, Weidong Shi

Virtual Big Data (VBD) proved to be effective to alleviate mode collapse and vanishing generator gradient as two major problems of Generative Adversarial Neural Networks (GANs) ver…

cs.CV2020★ 2 cited

Vulnerability of Face Recognition Systems Against Composite Face Reconstruction Attack

Hadi Mansourifar, Weidong Shi

Rounding confidence score is considered trivial but a simple and effective countermeasure to stop gradient descent based image reconstruction attacks. However, its capability in th…

cs.CC2020

Computational Complexity Characterization of Protecting Elections from Bribery

Lin Chen, Ahmed Sunny, Lei Xu +5

The bribery problem in election has received considerable attention in the literature, upon which various algorithmic and complexity results have been obtained. It is thus natural…

cs.CV2020★ 9 cited

One-Shot GAN Generated Fake Face Detection

Hadi Mansourifar, Weidong Shi

Fake face detection is a significant challenge for intelligent systems as generative models become more powerful every single day. As the quality of fake faces increases, the train…

cs.LG2020★ 29 cited

Deep Synthetic Minority Over-Sampling Technique

Hadi Mansourifar, Weidong Shi

Synthetic Minority Over-sampling Technique (SMOTE) is the most popular over-sampling method. However, its random nature makes the synthesized data and even imbalanced classificatio…

cs.AI2020★ 8 cited

Hybrid Cryptocurrency Pump and Dump Detection

Hadi Mansourifar, Lin Chen, Weidong Shi

Increasingly growing Cryptocurrency markets have become a hive for scammers to run pump and dump schemes which is considered as an anomalous activity in exchange markets. Anomaly d…

math.NA2020★ 11 cited

Algebraic multigrid block preconditioning for multi-group radiation diffusion equations

Xiaoqiang Yue, Shulei Zhang, Xiaowen Xu +2

The paper focuses on developing and studying efficient block preconditioners based on classical algebraic multigrid for the large-scale sparse linear systems arising from the fully…

cs.CR2020★ 4 cited

Nonlinear Blockchain Scalability: a Game-Theoretic Perspective

Lin Chen, Lei Xu, Zhimin Gao +3

Recent advances in the blockchain research have been made in two important directions. One is refined resilience analysis utilizing game theory to study the consequences of selfish…