Zhi Xue
Artificial Intelligence · 2018
A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 9 citations into it
- Signal Processing — 7 citations into it
- Computer Networks and Communications — 6 citations into it
- Generative Models — 5 citations into it
Whom Zhi Xue trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Zhi Xue's perspective
Ordered by how strongly the researchers Zhi Xue trusts endorse each paper. Same corpus, a different order for every researcher.
- Wasserstein GAN
- Wasserstein Generative Adversarial Networks
- Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods
- Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
- A framework for constructing features and models for intrusion detection systems (ACM Transactions on Privacy and Security)
- PassGAN: A Deep Learning Approach for Password Guessing (International Conference on Applied Cryptography and Network Security)
- Intrusion detection by machine learning: A review (Expert systems with applications)
- Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN (International Conference on Data Mining and Big Data)
- Black-Box Attacks against RNN based Malware Detection Algorithms
- GENERATIVE ADVERSARIAL NETS
Their papers
- IDSGAN: Generative Adversarial Networks for Attack Generation against Intrusion Detection (2018) — 353 citations