Speculative Buffer Overflows: Attacks and Defenses

Speculative Buffer Overflows: Attacks and Defenses Vladimir Kiriansky vlk@csail.mit.edu Carl Waldspurger carl@waldspurger.org Abstract Practical attacks that exploit speculative execution can leak

  Attacks

Introduction To Machine Learning - people.csail.mit.edu

Introduction To Machine Learning David Sontag New York University Lecture 21, April 14, 2016 David Sontag (NYU) Introduction To Machine Learning Lecture 21, April 14, 2016 1 / 14. Expectation maximization Algorithm is as follows: 1 Write down the complete log-likelihood log p(x;z; ) in such a way

  Introduction, Machine, Learning, Introduction to machine learning

Computational Imaging: The Race Against Time

The Race Against Time Computational Imaging: The Race Against Time Paul Debevec USC Institute for Creative Technologies USC Viterbi School of Engineering 2005 Symposium on Computational Photography and Video

  Computational, Time, Atingsa, Care, Imaging, Computational imaging, The race against time, Race against time computational imaging

Vantage: Scalable and Efficient Fine-Grain Cache Partitioning

Vantage is derived from analytical models, which allow us to provide strong guarantees and bounds on associativity and siz- ing independent of the number of partitions and their behaviors.

  Fine, Grain, Partitioning, Vantage, Scalable, Cache, Efficient, Scalable and efficient fine grain cache partitioning

Object detection and localization using local and global ...

Object detection and localization using local and global features 5 * = P f g Fig.3. Creating a random dictionary entry consisting of a filter f, patch P and Gaussian mask g. Dotted blue is the annotated bounding box, dashed green is the chosen patch.

  Using, Local, Object, Detection, Localization, Object detection and localization using local

Jade: A High-Level, Machine-Independent Language for ...

Jade: A High-Level, Machine-Independent Language for Parallel Programming Martin C. Rinard, Daniel J. Scales and Monica S. Lam Computer Systems Laboratory Stanford University, CA 94305 1 Introduction The past decade has seen tremendous progress in computer architecture and a …

  Programming, Language, Machine, Independent, Parallel, Jade, Machine independent language for parallel programming

A secure processor architecture for encrypted computation ...

Ascend is marginally more complex than a conventional proces- sor, in the sense that Ascend must implement an ISA and also make sure that the work it does is sufficiently obfuscated.

  Processor, Architecture, Secure, Computation, Ascend, Encrypted, Secure processor architecture for encrypted computation

Bluetooth for Programmers

Because Bluetooth programming shares much in common with network programming, there will be frequent references and comparisons to concepts in network programming such as sockets and the TCP/IP transport protocols.

  Programming, Programmer, Bluetooth, Bluetooth for programmers

Jigsaw: Scalable Software-Defined Caches

caching that Jigsaw builds and improves on: techniques to partition a shared cache, and non-uniform cache architectures. Table 1 summarizes the main differences among techniques.

  Software, Scalable, Cache, Jigsaw, Defined, Scalable software defined caches

JIGSAW - Massachusetts Institute of Technology

Jigsaw is the only scheme to simultaneously benefit network and DRAM latency Optimum . Evaluation: Energy 60 ! 16-core multiprogrammed mixes ! McPAT models of full-system energy (chip + DRAM) ! Jigsaw achieves best energy reduction ! Up to 72%, gmean of 11% ! …

  Jigsaw

Computational Fact Checking through Query Perturbations

4 Computational Fact Checking through Query Perturbations YOU WU and PANKAJ K. AGARWAL, Duke University CHENGKAI LI, University of Texas at Arlington JUN YANG, Duke University CONG YU, Google Research Our media is saturated with claims of …

Crystal Oscillators (XTAL) - University of California ...

Since the envelope of a small perturbation grows like v 0(t) = Keσ1t cosω 0t where σ 1 = 1/τ and τ = Q ω0 2 Aℓ−1. For example if Aℓ = 3, τ = Q ω0. That means that if Q ∼ 106, about a million cycles of simulation are necessary for the amplitude of oscillation to grow by a factor of e ≈ 2.71!

  Xtal, Perturbation

Feynman Diagrams - College of Arts and Sciences

In lowest order perturbation theory M is the Fourier transform of the potential, M&S B.20-22, p295, “Born Approximation”, M&S 1.32, p20. € dσ dΩ = 1 4π2 q f 2 v iv f M2 v i=speed of initial state particle v f=speed of final state particle q f=final state momentum € Γ= S p 8π m2c M2 m=mass of parent p=momentum of decay particle

  Perturbation

Mississippi Compilation of School Discipline Laws and ...

Introduction This compilation presents school discipline-related laws and regulations for U.S. states, U.S. territories, and the District of Columbia, and, where available, links to education agency websites or resources