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We consider actuator attacks in a remote control system. Compared with sensor attacks that have been studied in most existing literature, the malicious attacks over actuators can cause more disastrous...
The number of distributed Photovoltaic (PV) plants that produce electricity has been significantly increased, and issue of monitoring and maintaining a PV plant has become of great importance and invo...
This work presents the combination of Deep-Learning (DL) and image processing to produce an automated cracks recognition and defect measurement tool for civil structures. The authors focus on tunnel c...
Face detection algorithm based on a cascade of ensembles of decision trees (CEDT) is presented. The new approach allows detecting faces other than the front position through the use of multiple classi...
In this paper, the problem of automatic detection of tuberculosis lesion on 3D lung CT images is considered as a benchmark for testing out algorithms based on a modern concept of Deep Learning. For tr...
We describe a new technique for finding potential buffer overrun vulnerabilities in security-critical C code. The key to success is to use static analysis: we formulate detection of buffer overruns as...
We describe a software error-detection tool that exploits recent advances in boolean satisfiability (SAT) solvers. Our analysis is path sensitive, precise down to the bit level, and models pointers an...
The term soundness originated in mathematical logic: a deductive system is sound with respect to a semantics if it only proves valid arguments. This concept naturally extends to the context of optimiz...
Saturn is a boolean satisfiability (SAT) based framework for static bug detection. It targets software written in C and is designed to support a wide range of property checkers.
We present a context- and path-sensitive algorithm for detecting memory leaks in programs with explicit memory management. Our leak detection algorithm is based on an underlying escape analysis: any a...
We present a novel technique for static race detection in Java programs,comprised of a series of stages that employ a combination of static analyses to successively reduce the pairs of memory accesses...
We present a static analysis algorithm for detecting security vulnerabilities in PHP, a popular server-side scripting language for building web applications. Our analysis employs a novel three-tier ar...
Race detection algorithms for multi-threaded programs using the common lock-based synchronization idiom must correlate locks with the memory locations they guard. The heart of a proof of race freedom ...
Inconsistency checking is a method for detecting software errors that relies only on examining multiple uses of a value. We propose that inconsistency inference is best understood as a variant of the ...
We present Nodeinfo, an unsupervised algorithm for anomaly detection in system logs. We demonstrate Nodeinfo’s effectiveness on data from four of the world’s most powerful supercomputers: using logs r...

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