PDF-Differentially private filtering

. cmuedu Abstract This paper studies privacy preserving Mestimators using perturbed histograms The proposed approach allows the release of a wide class of Mestimators with both differential privacy and statistical utility without knowing a priori the p Deep Packet Inspection. Artyom. . Churilin. Tallinn University of Technology 2011. Web filtering & DPI. Web filtering (content control) . is a way control . what content is permitted to a . user. . of Distributed Time-Series. Vibhor. Rastogi . (University of Washington). Suman. . Nath. . (Microsoft Research). Participatory Data Mining. Untrusted. . Aggregator. Alice. Bob. Charlie. Delta. google.com. Computer Science & Engineering. . Pennsylvania State University. New Tools for Privacy-Preserving Statistical Analysis . IBM Research . Almaden. February 23, 2015. Privacy in Statistical Databases. 1961 1958 1959 1964 1957 1955 1962 1960 1965 1963 1956 1954 Theorem2.2.ForanydatasetB,setoflinearqueriesQ,T2N,and"0,withprobabilityatleast12T=jQj,MWEMproducesAsuchthatmaxq2Qjq(A)q(B)j2nr logjDj T+10TlogjQj ":Proof.Theproofofthistheoremisanintegrationofpre- Yin “David” Yang .  . Zhenjie. Zhang. .  . Gerome . Miklau. . Prev. . Session: Marianne . Winslett. .  . Xiaokui Xiao. 1. What we talked in the last session. Privacy is a major concern in data publishing. General Tools for Post-Selection Inference. Aaron Roth. What do we want to protect against?. Over-fitting from fixed algorithmic procedures (easiest – might hope to analyze exactly). e.g. variable/parameter selection followed by model fitting. seq. data. Many recent algorithms for calling differentially expressed genes:. edgeR. : . Empirical analysis of digital gene expression data in . R. http://. www.bioconductor.org. /packages/2.10/. Processing The PARIS File. Deuces Wild. FILTERING OPTIONS FOR YOUR PARIS FILE. Stephen Bach, New York State Office of Temporary and Disability Services, Bureau of Program Integrity. Mark Zaleha, Ohio Department of Job and Family Services, Bureau of Program Integrity. Fouhey. .. Let’s Take An Image. Let’s Fix Things. Slide Credit: D. Lowe. We have noise in our image. Let’s replace each pixel with a . weighted. average of its neighborhood. Weights are . filter kernel. Henning Lange, Mario . Bergés. , Zico Kolter. Variational Filtering. Statistical Inference. (Expectation Maximization, Variational Inference). Deep Learning. Dynamical Systems. Variational Filtering. Hao Peng. 1*. , . Haoran. Li. 2*. , . Yangqiu Song. 2. , Vincent Zheng. 3. , . Jianxin. Li. 1. 1. Beihang University. 2. Hong Kong University of Science and Technology. 3. AI Group, . Webank. Co., Ltd. Matthew Heintzelman. EECS 800 SAR Study Project . ‹#›. . Background:. Typical SAR image formation . algorithms. produce relatively high sidelobes (fast-time and slow-time) that . contribute. to image speckle and can mask scatterers with a low RCS..