Lujo Bauer
Artificial Intelligence · 2010–2018
A researcher in the Science corpus: 10 papers; trusts 239 researchers and is trusted by 19 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 88 citations into it; #9,555 of 35,345 by trust here, #5,600 by citations
- Safety, Robustness & Interpretability — 87 citations into it; #648 of 2,251 by trust here, #445 by citations
- Computer Vision and Pattern Recognition — 61 citations into it; #7,469 of 21,575 by trust here, #4,402 by citations
- Signal Processing — 59 citations into it; #1,740 of 7,572 by trust here, #476 by citations
- Information Systems — 48 citations into it; #5,838 of 8,771 by trust here, #3,198 by citations
- Evaluation & Benchmarks — 10 citations into it
- Hardware and Architecture — 10 citations into it
- Generative Models — 7 citations into it
Whom Lujo Bauer trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ian J. Goodfellow
- Alex Krizhevsky
- Geoffrey E. Hinton
- Christian Szegedy
- Nicolas Papernot
- Yoshua Bengio
- Diederik P. Kingma
- Ilya Sutskever
- Nicholas Carlini
- Yann LeCun
Who trusts Lujo Bauer overall
- Joseph Bonneau
- Florian Tramèr
- Logan Engstrom
- Edward Chou
- Nicholas Carlini
- Dimitris Tsipras
- Ivan Evtimov
- Danilo Vasconcellos Vargas
- Mika Juuti
- Nicolas Papernot
Papers from Lujo Bauer's perspective
Ordered by how strongly the researchers Lujo Bauer 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Accessorize to a Crime: Real and Stealthy Attacks on State-of-the-Art Face Recognition (2016) — 1,803 citations
- On the Suitability of Lp-Norms for Creating and Preventing Adversarial Examples (2018) — 146 citations
- Of passwords and people: measuring the effect of password-composition policies (2011) — 472 citations
- Adversarial Generative Nets: Neural Network Attacks on State-of-the-Art Face Recognition (2018) — 99 citations
- Self-driving cars and data collection: Privacy perceptions of networked autonomous vehicles (2017) — 94 citations
- Privacy Expectations and Preferences in an IoT World (2017) — 340 citations
- Fast, Lean, and Accurate: Modeling Password Guessability Using Neural Networks (2016) — 338 citations
- Guess Again (and Again and Again): Measuring Password Strength by Simulating Password-Cracking Algorithms (2012) — 517 citations
- How Does Your Password Measure Up? The Effect of Strength Meters on Password Creation (2012) — 366 citations
- Encountering stronger password requirements: user attitudes and behaviors (2010) — 402 citations