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Laskov, Pavel
48  Ergebnisse:
Personensuche X
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1

SoK: Pragmatic Assessment of Machine Learning for Network I..:

, In: 2023 IEEE 8th European Symposium on Security and Privacy (EuroS&P),
Apruzzese, Giovanni ; Laskov, Pavel ; Schneider, Johannes - p. 592-614 , 2023
Link: https://doi.org/10.1109/..
 
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2

Towards Understanding the Skill Gap in Cybersecurity:

, In: Proceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education Vol. 1,
Goupil, Francois ; Laskov, Pavel ; Pekaric, Irdin... - p. 477-483 , 2022
Link: https://dl.acm.org/doi/1..
 
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3

The Role of Machine Learning in Cybersecurity:

Apruzzese, Giovanni ; Laskov, Pavel ; de Oca, Edgardo Montes...
Digital Threats: Research and Practice.  , 2022
Link: https://doi.org/10.1145/..
 
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4

SoK: The Impact of Unlabelled Data in Cyberthreat Detection:

, In: 2022 IEEE 7th European Symposium on Security and Privacy (EuroS&P),
Apruzzese, Giovanni ; Laskov, Pavel ; Tastemirova, Aliya - p. 20-42 , 2022
Link: https://doi.org/10.1109/..
 
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5

Wild Networks: Exposure of 5G Network Infrastructures to Ad..:

Apruzzese, Giovanni ; Vladimirov, Rodion ; Tastemirova, Aliya.
IEEE Transactions on Network and Service Management.  19 (2022)  4 - p. 5312-5332 , 2022
Link: https://doi.org/10.1109/..
 
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6

Detection of illicit cryptomining using network metadata:

Russo, Michele ; Šrndić, Nedim ; Laskov, Pavel
EURASIP Journal on Information Security.  2021 (2021)  1 - p. , 2021
Link: https://doi.org/10.1186/..
 
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7

Hidost: a static machine-learning-based detector of malicio..:

Šrndić, Nedim ; Laskov, Pavel
EURASIP Journal on Information Security.  2016 (2016)  1 - p. , 2016
Link: https://doi.org/10.1186/..
 
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8

Session details: Security in societal computing:

, In: Proceedings of the 2013 ACM workshop on Artificial intelligence and security,
Laskov, Pavel , 2013
Link: https://dl.acm.org/doi/1..
 
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9

Static detection of malicious JavaScript-bearing PDF docume..:

, In: Proceedings of the 27th Annual Computer Security Applications Conference,
Laskov, Pavel ; Šrndić, Nedim - p. 373-382 , 2011
Link: https://dl.acm.org/doi/1..
 
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10

Understanding the risk factors of learning in adversarial e..:

, In: Proceedings of the 4th ACM workshop on Security and artificial intelligence,
Nelson, Blaine ; Biggio, Battista ; Laskov, Pavel - p. 87-92 , 2011
Link: https://dl.acm.org/doi/1..
 
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11

Abschlussbericht des Vorhabens "ReMIND":

Laskov, Pavel , 2010
Link: http://edok01.tib.uni-ha..
 
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12

Botzilla : detecting the "phoning home" of malicious sof..:

, In: Proceedings of the 2010 ACM Symposium on Applied Computing,
Rieck, Konrad ; Schwenk, Guido ; Limmer, Tobias.. - p. 1978-1984 , 2010
Link: https://dl.acm.org/doi/1..
 
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13

Machine learning in adversarial environments:

Laskov, Pavel ; Lippmann, Richard
Machine Learning.  81 (2010)  2 - p. 115-119 , 2010
Link: https://doi.org/10.1007/..
 
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14

TokDoc : a self-healing web application firewall:

, In: Proceedings of the 2010 ACM Symposium on Applied Computing,
Krueger, Tammo ; Gehl, Christian ; Rieck, Konrad. - p. 1846-1853 , 2010
Link: https://dl.acm.org/doi/1..
 
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15

A factorization method for the classification of infrared s..:

Henneges, Carsten ; Laskov, Pavel ; Darmawan, Endang...
BMC Bioinformatics.  11 (2010)  1 - p. , 2010
Link: https://doi.org/10.1186/..
 
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