Jinyuan Jia

Artificial Intelligence · 2015–2023

A researcher in the Science corpus: 11 papers; trusts 360 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 238 citations into it; #6,987 of 35,345 by trust here, #8,077 by citations
• Safety, Robustness & Interpretability — 134 citations into it
• Computer Networks and Communications — 72 citations into it; #3,305 of 9,886 by trust here, #6,498 by citations
• Information Systems — 71 citations into it; #2,191 of 8,771 by trust here, #4,341 by citations
• Privacy & Security — 56 citations into it; #576 of 709 by trust here, #426 by citations
• Computer Vision and Pattern Recognition — 53 citations into it
• Signal Processing — 50 citations into it
• Statistical and Nonlinear Physics — 26 citations into it; #7,820 of 10,127 by trust here, #9,953 by citations

Whom Jinyuan Jia trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Neil Zhenqiang Gong
2. Ian J. Goodfellow
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Nicolas Papernot
6. Binghui Wang
7. Cynthia Dwork
8. Raef Bassily
9. Kaiming He
10. Christian Szegedy

Who trusts Jinyuan Jia overall

1. Binghui Wang
2. Neil Zhenqiang Gong
3. Milad Nasr
4. Ahmed Salem
5. Jamie Hayes
6. Liwei Song
7. Yang Zhang
8. Tianhao Wang
9. Zheng Li
10. Peng Gao

Papers from Jinyuan Jia's perspective

Ordered by how strongly the researchers Jinyuan Jia trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Learning Multiple Layers of Features from Tiny Images
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Object proposal by multi-branch hierarchical segmentation (2015) — 40 citations
• PoisonedEncoder: Poisoning the Unlabeled Pre-training Data in Contrastive Learning (2022) — 50 citations
• MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples (2019) — 475 citations
• Formalizing and Benchmarking Prompt Injection Attacks and Defenses (2023) — 403 citations
• Local Model Poisoning Attacks to Byzantine-Robust Federated Learning (2019) — 1,621 citations
• AttriGuard: A Practical Defense Against Attribute Inference Attacks via Adversarial Machine Learning (2018) — 195 citations
• Graph-based Security and Privacy Analytics via Collective Classification with Joint Weight Learning and Propagation (2018) — 55 citations
• Structure-Based Sybil Detection in Social Networks via Local Rule-Based Propagation (2018) — 59 citations
• Calibrate: Frequency Estimation and Heavy Hitter Identification with Local Differential Privacy via Incorporating Prior Knowledge (2018) — 53 citations
• Random Walk Based Fake Account Detection in Online Social Networks (2017) — 136 citations
• AttriInfer: Inferring User Attributes in Online Social Networks Using Markov Random Fields (2017) — 102 citations