Zobrazeno 1 - 10
of 101
pro vyhledávání: '"Lakkaraju, Kiran"'
Policymakers often want the very best data with which to make decisions--particularly when concerned with questions of national and international security. But what happens when this data is not available? In those instances, analysts have come to re
Externí odkaz:
http://arxiv.org/abs/2302.08065
Social media has enabled users and organizations to obtain information about technology usage like software usage and even security feature usage. However, on the dark side it has also allowed an adversary to potentially exploit the users in a manner
Externí odkaz:
http://arxiv.org/abs/1909.02872
Autor:
Sarkar, Soumajyoti, Aleali, Ashkan, Shakarian, Paulo, Armenta, Mika, Sanchez, Danielle, Lakkaraju, Kiran
It is widely believed that one's peers influence product adoption behaviors. This relationship has been linked to the number of signals a decision-maker receives in a social network. But it is unclear if these same principles hold when the pattern by
Externí odkaz:
http://arxiv.org/abs/1909.01409
Autor:
Letchford, Joshua, Epifanovskaya, Laura, Lakkaraju, Kiran, Armenta, Mika, Reddie, Andrew, Goldblum, Bethany L., Whetzel, Jon, Reinhardt, Jason, Balanaga, Vamshi, Chen, Andrew, Fabian, Nathan, Hingorani, Sheryl, Iyer, Roshni, Krishnan, Roshan, Laderman, Sarah, Lee, Manseok, Mohan, Janani, Nacht, Michael, Prakkamakul, Soravis, Sumner, Matthew, Tibbetts, Jake, Valdez, Allie, Zhang, Charlie
Publikováno v:
Military Operations Research, 2022 Jan 01. 27(2), 59-82.
Externí odkaz:
https://www.jstor.org/stable/27140356
Networks extracted from social media platforms frequently include multiple types of links that dynamically change over time; these links can be used to represent dyadic interactions such as economic transactions, communications, and shared activities
Externí odkaz:
http://arxiv.org/abs/1609.03946
Most real-world social networks are inherently dynamic, composed of communities that are constantly changing in membership. To track these evolving communities, we need dynamic community detection techniques. This article evaluates the performance of
Externí odkaz:
http://arxiv.org/abs/1609.02622
The aim of link prediction is to forecast connections that are most likely to occur in the future, based on examples of previously observed links. A key insight is that it is useful to explicitly model network dynamics, how frequently links are creat
Externí odkaz:
http://arxiv.org/abs/1604.03221
Autor:
Reddie, Andrew W., Goldblum, Bethany L., Lakkaraju, Kiran, Reinhardt, Jason, Nacht, Michael, Epifanovskaya, Laura
Publikováno v:
Science, 2018 Dec . 362(6421), 1362-1364.
Externí odkaz:
https://www.jstor.org/stable/26569415
Autor:
Lakkaraju, Kiran, Slagell, Adam
Anonymization is the process of removing or hiding sensitive information in logs. Anonymization allows organizations to share network logs while not exposing sensitive information. However, there is an inherent trade off between the amount of informa
Externí odkaz:
http://arxiv.org/abs/0712.1224
FLAIM (Framework for Log Anonymization and Information Management) addresses two important needs not well addressed by current log anonymizers. First, it is extremely modular and not tied to the specific log being anonymized. Second, it supports mult
Externí odkaz:
http://arxiv.org/abs/cs/0606063