Stefan Savage
Computer Networks and Communications · 2000–2014
A researcher in the Science corpus: 28 papers; trusts 24 researchers and is trusted by 54 researchers here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 54 citations into it; #648 of 9,886 by trust here, #219 by citations
- Artificial Intelligence — 50 citations into it; #12,863 of 35,345 by trust here, #6,848 by citations
- Information Systems — 41 citations into it; #826 of 8,771 by trust here, #208 by citations
- Signal Processing — 24 citations into it; #950 of 7,572 by trust here, #358 by citations
- Electrical and Electronic Engineering — 16 citations into it; #11,835 of 16,539 by trust here, #9,902 by citations
- Hardware and Architecture — 11 citations into it; #656 of 1,551 by trust here, #231 by citations
- Sociology and Political Science — 7 citations into it
- Optimization & Training — 5 citations into it
Whom Stefan Savage trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David Moore
- Eric R. Ziegel
- Arunesh Mishra
- Niels Provos
- Cristian Estan
- R. Power
- L. Eon Bottou
- Steven M. Bellovin
- Minho Shin
- Mark H. Burstein
Who trusts Stefan Savage overall
- Vinod Yegneswaran
- T. Anderson
- John Ioannidis
- Haining Wang
- Abraham Yaar
- Paul R. Barford
- Thomas Karagiannis
- Dawn Song
- Rocky K. C. Chang
- Jelena Mirkovic
Papers from Stefan Savage's perspective
Ordered by how strongly the researchers Stefan Savage trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- LIBLINEAR: A Library for Large Linear Classification
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- The perceptron: a probabilistic model for information storage and organization in the brain.
- The Elements of Statistical Learning
Their papers
- An inquiry into the nature and causes of the wealth of internet miscreants (2007) — 459 citations
- Return-Oriented Programming: Systems, Languages, and Applications (2012) — 631 citations
- A fistful of bitcoins: characterizing payments among men with no names (2013) — 484 citations
- Experimental Security Analysis of a Modern Automobile (2010) — 516 citations
- Modeling TCP latency (2000) — 563 citations
- Understanding the performance of TCP pacing (2000) — 384 citations
- SyncScan: practical fast handoff for 802.11 infrastructure networks (2005) — 562 citations
- Measuring the Cost of Cybercrime (2012) — 618 citations
- An analysis of underground forums (2011) — 344 citations
- Handcrafted Fraud and Extortion: Manual Account Hijacking in the Wild (2014) — 91 citations
- Click Trajectories: End-to-End Analysis of the Spam Value Chain (2011) — 303 citations
- Comprehensive Experimental Analyses of Automotive Attack Surfaces (2011) — 1,677 citations
- Spamalytics: an empirical analysis of spam marketing conversion (2009) — 334 citations
- Beyond blacklists: learning to detect malicious web sites from suspicious URLs (2009) — 956 citations
- Identifying suspicious URLs: an application of large-scale online learning (2009) — 609 citations
- Difference engine (2008) — 335 citations
- When good instructions go bad: generalizing return-oriented programming to RISC (2008) — 441 citations
- Jigsaw: solving the puzzle of enterprise 802.11 analysis (2006) — 367 citations
- Scalability, fidelity, and containment in the potemkin virtual honeyfarm (2005) — 407 citations
- Total Recall: System Support for Automated Availability Management (2004) — 633 citations