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» Making inferences with small numbers of training sets
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KDD
2009
ACM
181views Data Mining» more  KDD 2009»
15 years 10 months ago
Intelligent file scoring system for malware detection from the gray list
Currently, the most significant line of defense against malware is anti-virus products which focus on authenticating valid software from a white list, blocking invalid software f...
Yanfang Ye, Tao Li, Qingshan Jiang, Zhixue Han, Li...
BMCBI
2010
125views more  BMCBI 2010»
15 years 6 months ago
In-silico prediction of blood-secretory human proteins using a ranking algorithm
Background: Computational identification of blood-secretory proteins, especially proteins with differentially expressed genes in diseased tissues, can provide highly useful inform...
Qi Liu, Juan Cui, Qiang Yang, Ying Xu
SRDS
2007
IEEE
16 years 10 days ago
RandSys: Thwarting Code Injection Attacks with System Service Interface Randomization
Code injection attacks are a top threat to today’s Internet. With zero-day attacks on the rise, randomization techniques have been introduced to diversify software and operation...
Xuxian Jiang, Helen J. Wang, Dongyan Xu, Yi-Min Wa...
EUROCRYPT
2010
Springer
15 years 11 months ago
Encryption Schemes Secure against Chosen-Ciphertext Selective Opening Attacks
Imagine many small devices send data to a single receiver, encrypted using the receiver’s public key. Assume an adversary that has the power to adaptively corrupt a subset of the...
Serge Fehr, Dennis Hofheinz, Eike Kiltz, Hoeteck W...
BMCBI
2010
139views more  BMCBI 2010»
15 years 6 months ago
RNAstructure: software for RNA secondary structure prediction and analysis
Background: To understand an RNA sequence's mechanism of action, the structure must be known. Furthermore, target RNA structure is an important consideration in the design of...
Jessica S. Reuter, David H. Mathews