Ben Y. Zhao
Artificial Intelligence · 2000–2023
A researcher in the Science corpus: 27 papers; trusts 312 researchers and is trusted by 34 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 240 citations into it; #20,326 of 35,345 by trust here, #6,664 by citations
- Computer Networks and Communications — 149 citations into it; #1,202 of 9,886 by trust here, #185 by citations
- Safety, Robustness & Interpretability — 125 citations into it
- Computer Vision and Pattern Recognition — 114 citations into it
- Signal Processing — 88 citations into it; #5,237 of 7,572 by trust here, #805 by citations
- Information Systems — 83 citations into it; #4,410 of 8,771 by trust here, #1,045 by citations
- Statistical and Nonlinear Physics — 57 citations into it; #6,074 of 10,127 by trust here, #2,158 by citations
- Sociology and Political Science — 29 citations into it
Whom Ben Y. Zhao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Antony Ian Taylor Rowstron
- Ion Stoica
- Geoffrey E. Hinton
- Sylvia Ratnasamy
- Diederik P. Kingma
- Alex Krizhevsky
- Yoshua Bengio
- Yann LeCun
- Peter Druschel
- Ian J. Goodfellow
Who trusts Ben Y. Zhao overall
- Miguel Oom Temudo de Castro
- Antony Ian Taylor Rowstron
- Peter Druschel
- Sylvia Ratnasamy
- Frank Dabek
- Beverly Yang
- Anne-Marie Kermarrec
- Sean C. Rhea
- Peter R. Pietzuch
- Patrick Reynolds
Papers from Ben Y. Zhao's perspective
Ordered by how strongly the researchers Ben Y. Zhao trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Going deeper with convolutions
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- GLAZE: Protecting Artists from Style Mimicry by Text-to-Image Models (2023) — 295 citations
- Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks (2019) — 1,894 citations
- Utilization and fairness in spectrum assignment for opportunistic spectrum access (2006) — 573 citations
- Mirror mirror on the ceiling: flexible wireless links for data centers (2012) — 340 citations
- "Will Check-in for Badges": Understanding Bias and Misbehavior on Location-Based Social Networks (2021) — 39 citations
- A Markov-Based Channel Model Algorithm for Wireless Networks (2001) — 314 citations
- On the validity of geosocial mobility traces (2013) — 59 citations
- Automated Crowdturfing Attacks and Defenses in Online Review Systems (2017) — 169 citations
- Towards a Common API for Structured Peer-to-Peer Overlays (2003) — 603 citations
- Fawkes: Protecting Privacy against Unauthorized Deep Learning Models (2020) — 307 citations
- Latent Backdoor Attacks on Deep Neural Networks (2019) — 478 citations
- With Great Training Comes Great Vulnerability: Practical Attacks against Transfer Learning (2018) — 126 citations
- Poster: Defending against Sybil Devices in Crowdsourced Mapping Services (2016) — 25 citations
- Packet-Level Telemetry in Large Datacenter Networks (2015) — 397 citations
- Man vs. Machine: Practical Adversarial Detection of Malicious Crowdsourcing Workers (2014) — 187 citations
- On the Embeddability of Random Walk Distances (2013) — 36 citations
- Uncovering social network sybils in the wild (2011) — 461 citations
- Serf and turf: crowdturfing for fun and profit (2011) — 250 citations
- Detecting and characterizing social spam campaigns (2010) — 488 citations
- Understanding latent interactions in online social networks (2010) — 304 citations