Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Li, Xiong"'
Publikováno v:
NAACL-HLT
The robustness and security of natural language processing (NLP) models are significantly important in real-world applications. In the context of text classification tasks, adversarial examples can be designed by substituting words with synonyms unde
Publikováno v:
IEEE Trans Knowl Data Eng
In this paper, we study the problem of mining frequent sequences under the rigorous differential privacy model. We explore the possibility of designing a differentially private frequent sequence mining (FSM) algorithm which can achieve both high data
Publikováno v:
ICDE
Differential Privacy (DP) has received increased attention as a rigorous privacy framework. Existing studies employ traditional DP mechanisms (e.g., the Laplace mechanism) as primitives, which assume that the data are independent, or that adversaries
Autor:
Li Xiong, Vaidy S. Sunderam
Publikováno v:
ICCS
The omnipresent pervasiveness of personal devices will expand the applicability of the Dynamic Data Driven Application Systems (DDDAS) paradigm in innumerable ways. While every single smartphone or wearable device is potentially a sensor with powerfu
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 16:843-857
Peer-to-peer (P2P) online communities are commonly perceived as an environment offering both opportunities and threats. One way to minimize threats in such communities is to use community-based reputations to help estimate the trustworthiness of peer
Publikováno v:
ICDM Workshops
Anomaly detection is an important problem that has been studied in a variety of application domains, ranging from syndrome surveillance for epidemic outbreaks to intrusion detection in computer networks. The data collected from individual users conta
Publikováno v:
SIGMOD Conference
Sharing aggregate statistics of private data can be of great value when data mining can be performed in real-time to understand important phenomena such as influenza outbreaks or traffic congestion. However, to this date there have been no tools for
Publikováno v:
Proceedings of the 4th ACM conference on Electronic commerce.
Peer-to-Peer eCommerce communities are commonly perceived as an environment offering both opportunities and threats. One way to minimize threats in such an open community is to use community-based reputations, which can be computed, for example, thro