data sanitization is a process that is used to promote the sharing of transactional databases among organizations and businesses, it alleviates concerns for individuals and organizations regarding the disclosure of sensitive patterns. it transforms the source database into a released database so that counterparts cannot discover the sensitive patterns and so data confidentiality is preserved ag...

Consumption of raw sprouts has caused many foodborne illness outbreaks in the last decade, and most outbreaks have been linked to contaminated seeds. Many seed sanitization treatments have been studied as a means to reduce the risk of illness associated with sprouts. Published data on seed sanitization were analyzed collectively to identify factors that influenced the efficacy of seed sanitizat...

Machine learning models trained on data from the outside world can be corrupted by poisoning attacks that inject malicious points into models’ training sets. A common defense against these is sanitization: first filter out anomalous before model. In this paper, we develop three bypass a broad range of sanitization defenses, including anomaly detectors based nearest neighbors, loss, and singular...

Data sanitization is a process that is used to promote the sharing of transactional databases among organizations and businesses, it alleviates concerns for individuals and organizations regarding the disclosure of sensitive patterns. It transforms the source database into a released database so that counterparts cannot discover the sensitive patterns and so data confidentiality is preserved ag...

As users, corporations, and government agencies store more data in digital media, managing that data and access to it becomes increasingly important. Reliably removing data from persistent storage (i.e., sanitizing the storage) is an essential aspect of this management process, and several techniques that reliably delete data from hard disks are available as built-in ATA or SCSI commands, softw...

High-assurance systems with multiple security levels use data filters to facilitate the safe flow of information from higher to lower classification levels. Since filters play a critical security role, they must be formally verified. However, a wide range of sanitization strategies has been developed to address the wide variety of data content and contexts that arise in practice. As the diversi...

Privacy-preserving data publishing has been a heated research topic in the last decade. Numerous ingenious attacks on users’ privacy and defensive measures have been proposed for the sharing of various data, varying from relational data, social network data, spatiotemporal data, to images and videos. Speech data publishing, however, is still untouched in the literature. To fill this gap, we stu...

Data sanitization process is used to promote the sharing of transactional databases among organizations and businesses, and alleviates concerns for individuals and organizations regarding the disclosure of sensitive patterns. It transforms the source database into a released database so that counterparts cannot discover the sensitive patterns and so data confidentiality is preserved against ass...