Neil Zhenqiang Gong
7 papers in the PaperMetrix corpus
Papers by this author
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SybilFrame: A Defense-in-Depth Framework for Structure-Based Sybil Detection
2015 · arXiv (Cornell University)
Sybil attacks are becoming increasingly widespread, and pose a significant threat to online social systems; a single adversary can inject multiple colluding identities in the system to compromise security and privacy. Recent works have leveraged …
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New Directions in Social Authentication
2015
Author(s): Sakshi Jain, Juan Lang, Neil Zhenqiang Gong, Dawn Song, Sreya Basuroy, Prateek Mittal Download: Paper (PDF) Date: 7 Feb 2015 Document Type: Briefing Papers Additional Documents: Slides Associated Event: NDSS Symposium 2015 Abstract: Web …
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Random Walk Based Fake Account Detection in Online Social Networks
2017
Online social networks are known to be vulnerable to the so-called Sybil attack, in which an attacker maintains massive fake accounts (also called Sybils) and uses them to perform various malicious activities. Therefore, Sybil detection …
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Influence Function based Data Poisoning Attacks to Top-N Recommender Systems
2020
Recommender system is an essential component of web services to engage users. Popular recommender systems model user preferences and item properties using a large amount of crowdsourced user-item interaction data, e.g., rating scores; then top-N …
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SoK: Secure Human-centered Wireless Sensing
2022 · arXiv (Cornell University)
Human-centered wireless sensing (HCWS) aims to understand the fine-grained environment and activities of a human using the diverse wireless signals around him/her. While the sensed information about a human can be used for many good …
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Periodic Recovery From Poisoning Attacks in Machine Learning
2025 · IEEE Transactions on Dependable and Secure Computing
Recovery from poisoning attacks aims to eliminate the influence of a given set of deleted poisoned training data on a model. In practice, model recovery often happensperiodicallysince data deletion occurs repeatedly after a model has …
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Poisoning Attacks to Graph-Based Recommender Systems
2018
Recommender system is an important component of many web services to help users locate items that match their interests. Several studies showed that recommender systems are vulnerable to poisoning attacks, in which an attacker injects …