Liang Tong
Safety, Robustness & Interpretability · with Hajaj · 2017
A researcher in the Science corpus: 2 papers; trusts 31 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Safety, Robustness & Interpretability — 43 citations into it
- Artificial Intelligence — 40 citations into it
- Signal Processing — 30 citations into it
- Computer Networks and Communications — 26 citations into it
- Privacy & Security — 14 citations into it
- Information Systems — 13 citations into it
- Statistical Learning Theory — 8 citations into it
- Game & Decision Theory — 6 citations into it
Whom Liang Tong trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Nedim Srndic
- Ian J. Goodfellow
- Pavel Laskov
- Yevgeniy Vorobeychik
- Blaine Nelson
- Battista Biggio
- Daniel Lowd
- Bo Li
- Marco Cova
- Weilin Xu
Who trusts Liang Tong overall
Papers from Liang Tong's perspective
Ordered by how strongly the researchers Liang Tong 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
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Hardening Classifiers against Evasion: the Good, the Bad, and the Ugly (2017) — 9 citations
- Feature Conservation in Adversarial Classifier Evasion: A Case Study (2017) — 9 citations