Shengzhi Zhang
Artificial Intelligence · 2018
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 21 citations into it
- Safety, Robustness & Interpretability — 15 citations into it
Whom Shengzhi Zhang trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Ian J. Goodfellow (in Safety, Robustness & Interpretability)
Papers from Shengzhi Zhang's perspective
Ordered by how strongly the researchers Shengzhi Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- Distilling the Knowledge in a Neural Network (arXiv.org)
- Intriguing properties of neural networks
- Explaining and Harnessing Adversarial Examples
- Towards Deep Learning Models Resistant to Adversarial Attacks
- Adversarial examples in the physical world
- Evasion Attacks against Machine Learning at Test Time
- Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin
- Practical Black-Box Attacks against Machine Learning
- Top Downloads in IEEE Xplore [Reader's Choice]
- Adversarial classification
Their papers
- CommanderSong: A Systematic Approach for Practical Adversarial Voice Recognition (2018) — 399 citations