Qiang Wang

Artificial Intelligence · with Cong · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it
• Safety, Robustness & Interpretability — 11 citations into it

Whom Qiang Wang trusts overall

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

1. J. Doug Tygar

Papers from Qiang Wang's perspective

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

1. The security of machine learning
2. Can machine learning be secure?
3. Poisoning Attacks against Support Vector Machines
4. Return of the Devil in the Details: Delving Deep into Convolutional Nets
5. Adversarial machine learning
6. Data Poisoning Attacks against Autoregressive Models
7. Federated Multi-Task Learning
8. Accelerated proximal stochastic dual coordinate ascent for regularized loss minimization
9. Federated Optimization: Distributed Optimization Beyond the Datacenter
10. Data Poisoning Attacks on Factorization-Based Collaborative Filtering

Their papers

• Data Poisoning Attacks on Federated Machine Learning (2020) — 293 citations