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Yumingzhi Pan

dblp:398/4029 · DBLP profile ↗
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2ranked-venue papers
1as first author
2since 2021 · last 2026
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Security and privacy · 2 · 1 first-author · 2 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Network and information security
2 papers
Network security · 30% Privacy and data protection · 24% Security and privacy of machine learning · 24%
Computer networks
1 paper
Internet of things and sensor networks · 100%

Topics — the 3 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Network security
anonymity networks
1.322026
Time will Tell: Large-scale De-anonymization of Hidden I2P Services via Live Behavior Alignment · NDSS 2026
TORCHLIGHT: Shedding LIGHT on Real-World Attacks on Cloudless IoT Devices Concealed within the Tor Network · USENIX Security Symposium 2025
Security and privacy of machine learning › large language model alignment
behavior alignment
1.012026
Time will Tell: Large-scale De-anonymization of Hidden I2P Services via Live Behavior Alignment · NDSS 2026
Privacy and data protection
de-anonymization
1.012026
Time will Tell: Large-scale De-anonymization of Hidden I2P Services via Live Behavior Alignment · NDSS 2026

Methods — techniques the papers use, named apart from their topics

network traffic analysis · 1.7live behavior alignment · 1.0large-scale measurement · 1.0
YearPublicationVenuePosition
2026 Time will Tell: Large-scale De-anonymization of Hidden I2P Services via Live Behavior Alignment
Hongze Wang, Zhen Ling 0001, Xiangyu Xu 0001, Yumingzhi Pan, Guangchi Liu, Junzhou Luo, Xinwen Fu
NDSS4
2025 TORCHLIGHT: Shedding LIGHT on Real-World Attacks on Cloudless IoT Devices Concealed within the Tor Network
Yumingzhi Pan, Zhen Ling 0001, Yue Zhang 0025, Hongze Wang, Guangchi Liu, Junzhou Luo, Xinwen Fu
USENIX Security Symposium1