activity
20182022
most citedHow To Backdoor Federated Learning

808 citations · 954 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CY2022★ 35 cited

Characterizing Alternative Monetization Strategies on YouTube

Yiqing Hua, Manoel Horta Ribeiro, Robert West +2

One of the key emerging roles of the YouTube platform is providing creators the ability to generate revenue from their content and interactions. Alongside tools provided directly b…

cs.SI2022★ 13 cited

Characterizing Reddit Participation of Users Who Engage in the QAnon Conspiracy Theories

Kristen Engel, Yiqing Hua, Taixiang Zeng +1

Widespread conspiracy theories may significantly impact our society. This paper focuses on the QAnon conspiracy theory, a consequential conspiracy theory that started on and dissem…

cs.CR2021★ 3 cited

Increasing Adversarial Uncertainty to Scale Private Similarity Testing

Yiqing Hua, Armin Namavari, Kaishuo Cheng +2

Social media and other platforms rely on automated detection of abusive content to help combat disinformation, harassment, and abuse. One common approach is to check user content f…

cs.SI2021

VoterFraud2020: a Multi-modal Dataset of Election Fraud Claims on Twitter

Anton Abilov, Yiqing Hua, Hana Matatov +2

The wide spread of unfounded election fraud claims surrounding the U.S. 2020 election had resulted in undermining of trust in the election, culminating in violence inside the U.S.…

cs.HC2020★ 14 cited

Characterizing Twitter Users Who Engage in Adversarial Interactions against Political Candidates

Yiqing Hua, Mor Naaman, Thomas Ristenpart

Social media provides a critical communication platform for political figures, but also makes them easy targets for harassment. In this paper, we characterize users who adversarial…

cs.HC2020★ 13 cited

Towards Measuring Adversarial Twitter Interactions against Candidates in the US Midterm Elections

Yiqing Hua, Thomas Ristenpart, Mor Naaman

Adversarial interactions against politicians on social media such as Twitter have significant impact on society. In particular they disrupt substantive political discussions online…

cs.CL2019★ 10 cited

Understanding BERT performance in propaganda analysis

Yiqing Hua

In this paper, we describe our system used in the shared task for fine-grained propaganda analysis at sentence level. Despite the challenging nature of the task, our pretrained BER…

cs.CL2018

WikiConv: A Corpus of the Complete Conversational History of a Large Online Collaborative Community

Yiqing Hua, Cristian Danescu-Niculescu-Mizil, Dario Taraborelli +3

We present a corpus that encompasses the complete history of conversations between contributors to Wikipedia, one of the largest online collaborative communities. By recording the…

cs.CR2018★ 808 cited

How To Backdoor Federated Learning

Eugene Bagdasaryan, Andreas Veit, Yiqing Hua +2

Federated learning enables thousands of participants to construct a deep learning model without sharing their private training data with each other. For example, multiple smartphon…

cs.CL2018★ 58 cited

Conversations Gone Awry: Detecting Early Signs of Conversational Failure

Justine Zhang, Jonathan P. Chang, Cristian Danescu-Niculescu-Mizil +4

One of the main challenges online social systems face is the prevalence of antisocial behavior, such as harassment and personal attacks. In this work, we introduce the task of pred…