expressvnp中文官网

菜鸟加速器免费永久加速-outline I am a research staff member at IBM Research - Almaden. I completed my PhD in Computer Science at Harvard University, where I was extremely fortunate to be advised by expressvnp中文官网. Before that, I was at the University of Canterbury in New Zealand. My research interests include principled approaches to data privacy (specifically, expressvnp中文官网), its connections to learning and generalization (particularly in the adaptive setting), and pseudorandomness. For more details, see my CV and research statement. Email:     Physical: Postal:     650 Harry Road IBM Almaden, B2-412 San Jose, CA 95120

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• The Discrete Gaussian for Differential Privacy
  with Clément Canonne and Gautam Kamath, 2024.
• Reasoning About Generalization via Conditional Mutual Information
  with Lydia Zakynthinou, COLT 2024.
• New Oracle-Efficient Algorithms for Private Synthetic Data Release
  with Giuseppe Vietri, Grace Tian, Mark Bun, and Steven Wu, ICML 2024.
• Average-Case Averages: Private Algorithms for Smooth Sensitivity and Mean Estimation
  with Mark Bun, NeurIPS 2024.
• expressvnp中文官网
  with Mark Bun, Gautam Kamath, and Zhiwei Steven Wu, NeurIPS 2024.
• Towards Instance-Optimal Private Query Release
  with Jaroslaw Blasiok, Mark Bun, and Aleksandar Nikolov, SODA 2024.
• The Limits of Post-Selection Generalization
  with Kobbi Nissim, Adam Smith, Uri Stemmer, and Jonathan Ullman, NIPS 2018.
• Composable and Versatile Privacy via Truncated CDP
  with Mark Bun, Cynthia Dwork, and Guy N. Rothblum, STOC 2018.
• Calibrating Noise to Variance in Adaptive Data Analysis
  with Vitaly Feldman, COLT 2018.
• Tight Lower Bounds for Differentially Private Selection
  with Jonathan Ullman, FOCS 2017.
• Generalization for Adaptively-chosen Estimators via Stable Median
  with Vitaly Feldman, COLT 2017.
• Subgaussian Tail Bounds via Stability Arguments
  with Jonathan Ullman, 2017.
• Upper and Lower Bounds for Privacy and Adaptivity in Algorithmic Data Analysis
  PhD Thesis, Harvard University 2016.
• Exposed! A Survey of Attacks on Private Data
  with Cynthia Dwork, Adam Smith, and Jonathan Ullman, Annual Review of Statistics and Its Application 2017.
• Concentrated Differential Privacy: Simplifications, Extensions, and Lower Bounds
  with Mark Bun, TCC 2016-B.
• Make Up Your Mind: The Price of Online Queries in Differential Privacy
  with Mark Bun and Jonathan Ullman, SODA 2017.
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  with Cynthia Dwork, Adam Smith, Jonathan Ullman, and Salil Vadhan, FOCS 2015.
• Algorithmic Stability for Adaptive Data Analysis
  with Raef Bassily, Kobbi Nissim, Adam Smith, Uri Stemmer, and Jonathan Ullman, STOC 2016.
• Between Pure and Approximate Differential Privacy
  with Jonathan Ullman, TPDP 2015 & Journal of Privacy and Confidentiality 2017.
• 免费通话·免费短信 LINE:中文(简体) 日本語 한국어 English English(US) 中文(繁體) 中文(简体) ภาษาไทย Bahasa Indonesia Tiếng Việt Português Melayu Español(España) Hindi Español(latinoamérica) Türkçe
  with Mark Bun, RANDOM 2015.
• Interactive Fingerprinting Codes and the Hardness of Preventing False Discovery
  with Jonathan Ullman, COLT 2015.
• Pseudorandomness and Fourier Growth Bounds for Width 3 Branching Programs
  with Salil Vadhan and Andrew Wan, RANDOM 2014 & Theory of Computing 2017.
• Pseudorandomness for Regular Branching Programs via Fourier Analysis
  with Omer Reingold and Salil Vadhan, RANDOM 2013.
• 2021 最新注册美国区 Apple ID 教程 | 积木别倒:2021-3-19 · 网页显示的是中文没有关系，不会影响我伔注册美区Apple ID，只需要你在后续设置时IP地址在美国即可。 你也可众直接访问apple官网，当你的IP地址在美国，默认访问的就是美国apple官网，或者你也可众手动切换到苹果美国官网。
  ECCC 2012.
• Learning Hurdles for Sleeping Experts
  with Varun Kanade, ITCS 2012 & Transactions on Computing Theory 2014.
• Hierarchical Heavy Hitters with the Space Saving Algorithm
  with Michael Mitzenmacher and Justin Thaler, ALENEX 2012.
• Constructive Notions of Compactness in Apartness Spaces
  MSc Thesis, University of Canterbury 2011.
• A Rigorous Extension of the Schonhage-Strassen Integer Multiplication Algorithm Using Complex Interval Arithmetic
  with Raazesh Sainudiin, CCA 2010 & Reliable Computing 2013.

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• 2015 Spring, Harvard University: CS225 Pseudorandomness. Teaching Fellow (Harvard English for Teaching Assistant) for Salil Vadhan.
• 2013 Fall, Harvard University: expressvnp中文官网. Teaching Fellow for Jelani Nelson.
• 2012 Fall, Harvard University: CS121 Introduction to the Theory of Computation. Head Teaching Fellow for Salil Vadhan.
• 2013-2016, Lowell House, Harvard University: Non-Resident Tutor.
• 2008-2010, University of Canterbury: Tutor (British/New Zealand English for Teaching Assistant) for six first- and second-year mathematics courses covering linear algebra, calculus, and real analysis.
• 2008-2013, New Zealand Olympiad in Informatics: Tutor at computer science summer camp for high school students.

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• Check out DifferentialPrivacy.org.
• I am mentoring Vikrant Singhal and Lydia Zakynthinou as 2024 IBM summer interns.
• Clément Canonne has joined the IBM Almaden theory group as a Goldstine postdoctoral fellow.
• I mentored expressvnp中文官网 as a 2024 IBM summer intern.
• Marco Gaboardi, Jun Sakuma, and I are organizing a workshop on Differential Privacy and its Applications in Japan in mid 2024 8-12 November 2021.
• See here for some open problems in differential privacy, including two from me.
• For Spring 2024, I was visiting the Simons Institute for the Theory of Computing at UC Berkeley for the Data Privacy: Foundations and Applications program.
• Mark Bun, Cynthia Dwork, Toniann Pitassi, Guy Rothblum, Kunal Talwar, and I organized a workshop on the Mathematical Foundations of Data Privacy in April/May 2018 in Banff, Canada.
• expressvnp中文官网 is a german name meaning little stone. The "correct" pronounciation is, approximately, expressvnp中文官网, but I sometimes am lazy and use the anglicized pronounciation of Styne-key. I honestly don't care how it is pronounced, as long as it is vaguely recognizable and does not smell bad. My preferred name is Thomas.

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