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EH
1999
IEEE
351views Hardware» more  EH 1999»
15 years 8 months ago
Evolvable Hardware or Learning Hardware? Induction of State Machines from Temporal Logic Constraints
Here we advocate an approach to learning hardware based on induction of finite state machines from temporal logic constraints. The method involves training on examples, constraint...
Marek A. Perkowski, Alan Mishchenko, Anatoli N. Ch...
ACSAC
2003
IEEE
15 years 7 months ago
Defending Embedded Systems Against Buffer Overflow via Hardware/Software
Buffer overflow attacks have been causing serious security problems for decades. With more embedded systems networked, it becomes an important research problem to defend embedded ...
Zili Shao, Qingfeng Zhuge, Yi He, Edwin Hsing-Mean...
NIPS
2007
15 years 5 months ago
The Price of Bandit Information for Online Optimization
In the online linear optimization problem, a learner must choose, in each round, a decision from a set D ⊂ Rn in order to minimize an (unknown and changing) linear cost function...
Varsha Dani, Thomas P. Hayes, Sham Kakade
NIPS
2007
15 years 5 months ago
A New View of Automatic Relevance Determination
Automatic relevance determination (ARD) and the closely-related sparse Bayesian learning (SBL) framework are effective tools for pruning large numbers of irrelevant features leadi...
David P. Wipf, Srikantan S. Nagarajan
CRYPTO
2010
Springer
188views Cryptology» more  CRYPTO 2010»
15 years 5 months ago
i-Hop Homomorphic Encryption and Rerandomizable Yao Circuits
Homomorphic encryption (HE) schemes enable computing functions on encrypted data, by means of a public Eval procedure that can be applied to ciphertexts. But the evaluated ciphert...
Craig Gentry, Shai Halevi, Vinod Vaikuntanathan