Andreas Haeberlen
Artificial Intelligence · 2004–2019
A researcher in the Science corpus: 16 papers; trusts 83 researchers and is trusted by 18 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 200 citations into it; #14,721 of 35,345 by trust here, #9,870 by citations
- Privacy & Security — 123 citations into it; #349 of 709 by trust here, #252 by citations
- Computer Networks and Communications — 106 citations into it; #4,586 of 9,886 by trust here, #1,147 by citations
- Computational Theory and Mathematics — 46 citations into it
- Sociology and Political Science — 36 citations into it; #22,028 of 22,756 by trust here, #7,774 by citations
- Electrical and Electronic Engineering — 33 citations into it
- Information Systems — 32 citations into it
- Safety, Robustness & Interpretability — 21 citations into it; #1,214 of 2,251 by trust here, #1,481 by citations
Whom Andreas Haeberlen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Cynthia Dwork
- Antony Ian Taylor Rowstron
- Frank McSherry
- Peter Druschel
- Miguel Oom Temudo de Castro
- Anind K. Dey
- Kobbi Nissim
- John R. Douceur
- Ben Y. Zhao
- John D. Kubiatowicz
Who trusts Andreas Haeberlen overall
- Arjun Narayan
- Antonis Papadimitriou
- Gilles Barthe
- Henry Corrigan-Gibbs
- Noah M. Johnson
- Edo Roth
- Paarijaat Aditya
- Danfeng Zhang
- Yaling Zhang
- Tim Ruffing
Papers from Andreas Haeberlen's perspective
Ordered by how strongly the researchers Andreas Haeberlen trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Differential Privacy
- ImageNet: A large-scale hierarchical image database
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Calibrating Noise to Sensitivity in Private Data Analysis
- Differential Privacy: A Survey of Results
- Differentially Private Empirical Risk Minimization
- The Sybil Attack
- Gradient-based learning applied to document recognition
- Pastry: Scalable, distributed object location and routing for large-scale peer-to-
Their papers
- Honeycrisp: large-scale differentially private aggregation without a trusted core (2019) — 74 citations
- Practical robust localization over large-scale 802.11 wireless networks (2004) — 833 citations
- Characterizing residential broadband networks (2007) — 389 citations
- Differential Privacy: An Economic Method for Choosing Epsilon (2014) — 332 citations
- DStress: Efficient Differentially Private Computations on Distributed Data (2017) — 30 citations
- Verifiable differential privacy (2015) — 47 citations
- Peer-assisted content distribution in Akamai netsession (2013) — 110 citations
- Linear dependent types for differential privacy (2013) — 211 citations
- Reliable Client Accounting for Hybrid Content-Distribution Networks (2012) — 18 citations
- DJoin: Differentially Private Join Queries over Distributed Databases (2012) — 134 citations
- Differential Privacy Under Fire (2011) — 213 citations
- Accountable Virtual Machines (2010) — 129 citations
- Differential privacy for collaborative security (2010) — 35 citations
- PeerReview: practical accountability for distributed systems (2007) — 486 citations
- Efficient Replica Maintenance for Distributed Storage Systems (2006) — 315 citations
- Glacier: highly durable, decentralized storage despite massive correlated failures (2005) — 320 citations