Zobrazeno 1 - 10
of 1 554
pro vyhledávání: '"Genkin, A."'
Autor:
Barthe, Gilles, Böhme, Marcel, Cauligi, Sunjay, Chuengsatiansup, Chitchanok, Genkin, Daniel, Guarnieri, Marco, Romero, David Mateos, Schwabe, Peter, Wu, David, Yarom, Yuval
How will future microarchitectures impact the security of existing cryptographic implementations? As we cannot keep reducing the size of transistors, chip vendors have started developing new microarchitectural optimizations to speed up computation. A
Externí odkaz:
http://arxiv.org/abs/2402.00641
Autor:
Moore, Jason, Genkin, Alexander, Tournoy, Magnus, Pughe-Sanford, Joshua, van Steveninck, Rob R. de Ruyter, Chklovskii, Dmitri B.
In the quest to model neuronal function amidst gaps in physiological data, a promising strategy is to develop a normative theory that interprets neuronal physiology as optimizing a computational objective. This study extends the current normative mod
Externí odkaz:
http://arxiv.org/abs/2401.01489
Autor:
Kuepper, Joel, Erbsen, Andres, Gross, Jason, Conoly, Owen, Sun, Chuyue, Tian, Samuel, Wu, David, Chlipala, Adam, Chuengsatiansup, Chitchanok, Genkin, Daniel, Wagner, Markus, Yarom, Yuval
Manual engineering of high-performance implementations typically consumes many resources and requires in-depth knowledge of the hardware. Compilers try to address these problems; however, they are limited by design in what they can do. To address thi
Externí odkaz:
http://arxiv.org/abs/2305.19586
The drive to create thinner, lighter, and more energy efficient devices has resulted in modern SoCs being forced to balance a delicate tradeoff between power consumption, heat dissipation, and execution speed (i.e., frequency). While beneficial, thes
Externí odkaz:
http://arxiv.org/abs/2305.12784
A binary's behavior is greatly influenced by how the compiler builds its source code. Although most compiler configuration details are abstracted away during compilation, recovering them is useful for reverse engineering and program comprehension tas
Externí odkaz:
http://arxiv.org/abs/2305.03934
Autor:
Genkin, Mikhail, McArthur, J. J.
Energy optimization leveraging artificially intelligent algorithms has been proven effective. However, when buildings are commissioned, there is no historical data that could be used to train these algorithms. On-line Reinforcement Learning (RL) algo
Externí odkaz:
http://arxiv.org/abs/2305.00365
The big data software stack based on Apache Spark and Hadoop has become mission critical in many enterprises. Performance of Spark and Hadoop jobs depends on a large number of configuration settings. Manual tuning is expensive and brittle. There have
Externí odkaz:
http://arxiv.org/abs/2304.10503
Autor:
Kuepper, Joel, Erbsen, Andres, Gross, Jason, Conoly, Owen, Sun, Chuyue, Tian, Samuel, Wu, David, Chlipala, Adam, Chuengsatiansup, Chitchanok, Genkin, Daniel, Wagner, Markus, Yarom, Yuval
Most software domains rely on compilers to translate high-level code to multiple different machine languages, with performance not too much worse than what developers would have the patience to write directly in assembly language. However, cryptograp
Externí odkaz:
http://arxiv.org/abs/2211.10665
Autor:
Genkin, Mikhail, McArthur, J. J.
The pervasive application of artificial intelligence and machine learning algorithms is transforming many industries and aspects of the human experience. One very important industry trend is the move to convert existing human dwellings to smart build
Externí odkaz:
http://arxiv.org/abs/2211.03219
USB is the most prevalent peripheral interface in modern computer systems and its inherent insecurities make it an appealing attack vector. A well-known limitation of USB is that traffic is not encrypted. This allows on-path adversaries to trivially
Externí odkaz:
http://arxiv.org/abs/2211.01109