Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Marwah, Manish"'
The cost of errors related to machine learning classifiers, namely, false positives and false negatives, are not equal and are application dependent. For example, in cybersecurity applications, the cost of not detecting an attack is very different fr
Externí odkaz:
http://arxiv.org/abs/2407.14664
Deep learning models have achieved great success in recent years but progress in some domains like cybersecurity is stymied due to a paucity of realistic datasets. Organizations are reluctant to share such data, even internally, due to privacy reason
Externí odkaz:
http://arxiv.org/abs/2009.12740
While applications of machine learning in cyber-security have grown rapidly, most models use manually constructed features. This manual approach is error-prone and requires domain expertise. In this paper, we design a self-supervised sequence-to-sequ
Externí odkaz:
http://arxiv.org/abs/2003.10639
In this paper, we introduce Anomaly Contribution Explainer or ACE, a tool to explain security anomaly detection models in terms of the model features through a regression framework, and its variant, ACE-KL, which highlights the important anomaly cont
Externí odkaz:
http://arxiv.org/abs/1912.00314
Autor:
Kim, Mijung, Li, Jun, Volos, Haris, Marwah, Manish, Ulanov, Alexander, Keeton, Kimberly, Tucek, Joseph, Cherkasova, Lucy, Xu, Le, Fernando, Pradeep
Spark is an in-memory analytics platform that targets commodity server environments today. It relies on the Hadoop Distributed File System (HDFS) to persist intermediate checkpoint states and final processing results. In Spark, immutable data are use
Externí odkaz:
http://arxiv.org/abs/1708.05746
Present day machine learning is computationally intensive and processes large amounts of data. It is implemented in a distributed fashion in order to address these scalability issues. The work is parallelized across a number of computing nodes. It is
Externí odkaz:
http://arxiv.org/abs/1610.06276
Autor:
Marwah, Manish.
Publikováno v:
Connect to online resource.
Thesis (Ph.D.)--University of Colorado at Boulder, 2008.
Source: Dissertation Abstracts International, Volume: 69-04, Section: B, page: 2420. Adviser: Shivakant Mishra.
Source: Dissertation Abstracts International, Volume: 69-04, Section: B, page: 2420. Adviser: Shivakant Mishra.
Akademický článek
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Autor:
Chen, Fei, Gonzalez, Tere, Li, Jun, Marwah, Manish, Pruyne, Jim, Viswanathan, Krishnamurthy, Kim, Mijung
Publikováno v:
Proceedings of the 2014 ACM SIGMOD International Conference Management of Data; 6/18/2014, p705-708, 4p
Publikováno v:
ACM Transactions on Cyber-Physical Systems; August 2017, Vol. 1 Issue: 4 p1-25, 25p