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Azadeh TabibanB

dblp:441/0804 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2026
—ORCID · none

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

Security and privacy · 1 · 1 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
1 paper
Network security · 50% Security and privacy of machine learning · 50%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Security and privacy of machine learning › adversarial attack
evasion attack
1.012026
A Context Is Worth a Thousand Lies: Evading Intrusion Detectors via Intelligent Context Distortion · SP 2026
Network security › intrusion detection and prevention
intrusion detection
1.012026
A Context Is Worth a Thousand Lies: Evading Intrusion Detectors via Intelligent Context Distortion · SP 2026
YearPublicationVenuePosition
2026 A Context Is Worth a Thousand Lies: Evading Intrusion Detectors via Intelligent Context Distortion
Magdy Nasr, Vansh Rastogi, Azadeh TabibanB
SP3