Abstract: Advertisement budgets are often apportioned over an advertisement period, such as apportioning fixed increments of the budget over subperiods of the advertisement period. Each allocation of the budget may be used for auctions of advertisement opportunities during the subperiod. However, fixed apportioning may not be responsive to the actual user response, and manual adjustment of the budget may provide an efficient allocation in view of an advertiser's response target, resulting in overspending, underspending (wherein resulting user response fails to meet a response target), and/or inefficient allocation of the budget. Instead, a server may measure the user response during a first advertisement subperiod, extrapolate the user response over the advertisement period, and compare the extrapolated user response to the response target.

Abstract: One embodiment provides a method comprising, in a training phase, receiving one or more malware samples, extracting multi-aspect features of malicious behaviors triggered by the malware samples, determining evolution patterns of the malware samples based on the multi-aspect features, and predicting mutations of the malware samples based on the evolution patterns. Another embodiment provides a method comprising, in a testing phase, receiving a new mobile application, extracting a first set of multi-aspect features for the new mobile application using a learned feature model, and determining whether the new mobile application is a mutation of a malicious application using a learned classification model and the first set of multi-aspect features.

Abstract: A computing system includes: a control circuit configured to: determine a privacy baseline for controlling communication for a user, determine an application-specific privacy setting for controlling communication for a first executable program associated with the user, generate a user-specific privacy profile based on the privacy baseline and the application-specific privacy setting, the user-specific privacy profile for controlling an application set including a second executable program; and a storage circuit, coupled to the control circuit, configured to store the user-specific privacy profile.

Abstract: A computing system includes: a control circuit configured to: determine a privacy baseline for controlling communication for a user, determine an application-specific privacy setting for controlling communication for a first executable program associated with the user, generate a user-specific privacy profile based on the privacy baseline and the application-specific privacy setting, the user-specific privacy profile for controlling an application set including a second executable program; and a storage circuit, coupled to the control circuit, configured to store the user-specific privacy profile.

Abstract: One embodiment provides a method comprising, in a training phase, receiving one or more malware samples, extracting multi-aspect features of malicious behaviors triggered by the malware samples, determining evolution patterns of the malware samples based on the multi-aspect features, and predicting mutations of the malware samples based on the evolution patterns. Another embodiment provides a method comprising, in a testing phase, receiving a new mobile application, extracting a first set of multi-aspect features for the new mobile application using a learned feature model, and determining whether the new mobile application is a mutation of a malicious application using a learned classification model and the first set of multi-aspect features.

Abstract: A computing system includes: a control circuit configured to: determine a privacy baseline for controlling communication for a user, determine an application-specific privacy setting for controlling communication for a first executable program associated with the user, generate a user-specific privacy profile based on the privacy baseline and the application-specific privacy setting, the user-specific privacy profile for controlling an application set including a second executable program; and a storage circuit, coupled to the control circuit, configured to store the user-specific privacy profile.