目录 概 主要内容 Differential Privacy insensitivity Lemma1 Proposition1 如何令网络为-DP in practice Lecuyer M, Atlidakis V, Geambasu R, et al. Certified Robustness to Adversarial Examples with Differential Privacy[C]. ieee symposium on security and privacy, 2019:…
As noted,if $z=x+iy$,$x,y\in\mathbf{R}$,then $|z|=\sqrt{x^2+y^2}$ is equivalent to $|z|^2=z\overline{z}$.Use this to show that if also $w\in\mathbf{C}$,$$|zw|=|z|\cdot|w|.$$ Solve: $|zw|^{2}=(zw)\cdot (\overline{zw})=(zw)\cdot(\overline{z}\cdot\ove…
The Core Issues and Ideas of This Paper Problem Baseline Searchable Symmetric Encryption (SSE) could not avoid access-pattern leakage. ORAM algorithm performance is extremely low and cannot be applied in practice. Idea Solve the Access-pattern Leakag…
The author has a course on web: http://brickisland.net/DDGSpring2016/ It has more reading assignments and sliders which are good for you to understand ddg. ------------------------------------------------------------- DISCRETE DIFFERENTIAL GEOMETRY :…
郑重声明:原文参见标题,如有侵权,请联系作者,将会撤销发布! Proceedings of the 20th International Conference on Artificial Intelligence and Statistics (AISTATS) 2017, Fort Lauderdale, Florida, USA. JMLR: W&CP volume 54. Copyright 2017 by the author(s). Abstract 现代移动设备可以访问大量适合模型学…
A review of applications in federated learning Authors Li Li, Yuxi Fan, Mike Tse, Kuo-Yi Lin Keywords Federated learning; Literature review; Citation analysis; Research front Abstract FL是一种协作地分散式隐私保护技术,它的目标是克服数据孤岛与数据隐私的挑战.本研究旨在回顾目前在工业工程中的应用,以指导未来的落地应…
Deep Learning and the Triumph of Empiricism By Zachary Chase Lipton, July 2015 Deep learning is now the standard-bearer for many tasks in supervised machine learning. It could also be argued that deep learning has yielded the most practically useful…
转自:http://www.cleverhans.io/security/privacy/ml/2017/02/15/why-attacking-machine-learning-is-easier-than-defending-it.html Is attacking machine learning easier than defending it? Feb 15, 2017 by Ian Goodfellow and Nicolas Papernot In our first post…
Does Deep Learning Come from the Devil? Deep learning has revolutionized computer vision and natural language processing. Yet the mathematics explaining its success remains elusive. At the Yandex conference on machine learning prospects and applicati…
目录: 第一学年 几何与拓扑: 1.James R. Munkres, Topology:较新的拓扑学的教材适用于本科高年级或研究生一年级: 2.Basic Topology by Armstrong:本科生拓扑学教材: 3.Kelley, General Topology:一般拓扑学的经典教材,不过观点较老: 4.Willard, General Topology:一般拓扑学新的经典教材: 5.Glen Bredon, Topology and geometry:研究生一年级的拓扑.几何教材:…
Accepted Papers by Session Research Session RT01: Social and Graphs 1Tuesday 10:20 am–12:00 pm | Level 3 – Ballroom AChair: Tanya Berger-Wolf Efficient Algorithms for Public-Private Social NetworksFlavio Chierichetti,Sapienza University of Rome; Ales…
TVM性能评估分析(四) Figure 1. Efficient Privacy-Preserving ML Using TVM Figure 2. Motivation: Privacy-Preserving ML Figure 3. Backend Figure 4. Differential privacy (DP) provides a formal guarantee that models trained on similar datasets are indistinguis…
-------------------------------------------------------------- Chapter 1: Introduction to Discrete Differential Geometry: The Geometry of Plane Curves . A better approximation than the tangent is the circle of curvature. . If the curve is sufficientl…
1.Introduction 2.First-order Differential Equations Exercise2.1. Find solutons of the following intial-value problems in $\bbR^2$: (1)$2u_y-u_x+xu=0$ with $u(x,0)=2xe^{x^2/2}$; (2)$u_y+(1+x^2)u_x-u=0$ with $u(x,0)=\arctan x$. Solution: (1)Since $(-1,…
