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» CLAMP: Practical Prevention of Large-Scale Data Leaks
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SP
2009
IEEE
129views Security Privacy» more  SP 2009»
11 years 6 months ago
CLAMP: Practical Prevention of Large-Scale Data Leaks
Providing online access to sensitive data makes web servers lucrative targets for attackers. A compromise of any of the web server’s scripts, applications, or operating system c...
Bryan Parno, Jonathan M. McCune, Dan Wendlandt, Da...
ECOOP
2003
Springer
11 years 4 months ago
LeakBot: An Automated and Lightweight Tool for Diagnosing Memory Leaks in Large Java Applications
Despite Java’s automatic reclamation of memory, memory leaks remain an important problem. For example, we frequently encounter memory leaks that cause production servers to crash...
Nick Mitchell, Gary Sevitsky
CORR
2011
Springer
185views Education» more  CORR 2011»
10 years 6 months ago
Large-Scale Collective Entity Matching
There have been several recent advancements in Machine Learning community on the Entity Matching (EM) problem. However, their lack of scalability has prevented them from being app...
Vibhor Rastogi, Nilesh N. Dalvi, Minos N. Garofala...
VEE
2012
ACM
252views Virtualization» more  VEE 2012»
9 years 7 months ago
libdft: practical dynamic data flow tracking for commodity systems
Dynamic data flow tracking (DFT) deals with tagging and tracking data of interest as they propagate during program execution. DFT has been repeatedly implemented by a variety of ...
Vasileios P. Kemerlis, Georgios Portokalidis, Kang...
NDSS
2007
IEEE
11 years 5 months ago
Playing Devil's Advocate: Inferring Sensitive Information from Anonymized Network Traces
Encouraging the release of network data is central to promoting sound network research practices, though the publication of this data can leak sensitive information about the publ...
Scott E. Coull, Charles V. Wright, Fabian Monrose,...
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